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The Opportunity MassMutual’s AI & Data Science team is seeking an impact-driven Lead AI Engineer to join our high-performing, cross-functional team. In this role, you will lead the design, deployment, and production scaling of advanced AI solutions that solve complex, high-value problems across the enterprise. You’ll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous scientific methods, writing high-quality production code, and communicating results to senior leadership. The Team This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. This team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable. The Impact • Architect, build, and lead end-to-end AI solutions supporting a range of enterprise use cases—from ideation through production deployment and monitoring—using LLMs, agentic AI, machine learning, and probabilistic modeling, with accountability for reliability, performance, and maintainability., • Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across foundation models, and quantitative analysis, to validate approaches and inform technical decisions., • Drive innovation by identifying emerging technologies, translating cutting-edge research into practical applications, and establishing team-wide best practices in AI development and responsible AI deployment., • Build rapid prototypes to test and validate AI approaches and deliver production-grade AI-powered applications (e.g., intelligent interfaces, dashboards, automated workflows) when solutions prove viable., • Collaborate with engineering teams to build robust, production-grade AI pipelines and APIs that integrate into the broader enterprise technology ecosystem., • Influence senior leadership by aligning AI initiatives with enterprise strategy and communicating complex technical concepts and findings in clear, actionable terms., • Mentor and develop junior talent, fostering a culture of technical excellence, scientific rigor, and continuous learning across the team. The Minimum Qualifications • 7+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering impactful AI/ML solutions at scale., • Deep expertise in machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and LLM evaluation across a variety of foundation models and benchmarks., • Demonstrated ability to build, deploy, and scale production AI systems from architecture planning through orchestration, monitoring, and end-user delivery., • Strong programming skills in Python, with the ability to write clean, well-tested, production-quality code, including familiarity with Docker, Kubernetes, and other orchestration and deployment frameworks., • M.S. or Ph.D. in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field, or equivalent years of relevant professional experience. The Ideal Qualifications • Familiarity with agentic AI tooling ecosystems, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols., • Experience developing and evaluating AI systems in a regulated industry, with a strong understanding of compliance and privacy standards., • Breadth across AI and data science methods—including classical ML, causal inference, optimization, and Bayesian approaches—with comfort moving across techniques as problems demand., • Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search., • Exceptional ability to translate complex AI concepts and quantitative findings into clear insights for non-technical stakeholders and senior leadership., • Exceptional research credentials, such as published work, significant open-source contributions, or a strong record of scientific rigor applied in industry. What to Expect as Part of MassMutual and the Team • Regular meetings with the AI & Data Science team, • Focused one-on-one meetings with your manager, • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups, • Access to learning content on Degreed and other informational platforms, • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits #LI-MC1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our _ page.

Job DescriptionBenefits: • Health insurance, • Vision insurance, • Dental insurance Job Title: Commercial Refrigeration Technician - Day shift! Location: Brooklyn NY About the Company Join a fast-growing, well-funded nationwide meal delivery company that is transforming the way people eat. With 20+ facilities across the United States and $250M in recent funding, this company is scaling fast and building the team that will take them there. Their Brooklyn facility is a high-volume commercial kitchen operation producing chef-made, ready-to-eat meals at scale. This is a company with real momentum, a strong maintenance culture, and a genuine path to becoming a direct employee. This role is contract-to-hire — perform well and you convert directly onto their team. Overview We're seeking an experienced Commercial Refrigeration Technician to join the facilities/maintenance team at our Brooklyn facility. This role is core to keeping commercial refrigeration systems running reliably across a high-volume, fast-paced kitchen operation. You'll be joining a collaborative, cross-trained team that takes pride in their work and keeps a world-class food production operation running at peak performance. Schedule Day shift, 8:00 AM – 5:00 PM, Tuesday–Saturday. Responsibilities • Troubleshoot, repair, and maintain commercial refrigeration equipment including rooftop units (RTUs), chillers, condensers, evaporators, and walk-in refrigeration boxes, • Diagnose and repair issues with compressors, motors, belts, and pulleys, • Respond to refrigeration breakdowns quickly to minimize downtime in a fast-paced kitchen environment, • Maintain accurate records of service, parts usage, and equipment status, • Adhere to all safety protocols and regulations while on site, • Partner with the broader facilities/maintenance team on cross-functional repairs as needed — a plus, not requiredRequirements, • EPA Universal certification required, • Proven hands-on experience repairing commercial refrigeration systems — 3+ years, • Strong troubleshooting ability across compressors, motors, electrical/mechanical components, • Ability to read technical manuals, schematics, and diagrams, • Prior experience in a food production, commercial kitchen, or industrial/manufacturing environment strongly preferred, • Ability to stand for long periods, lift up to 50 lbs, and work in a physically demanding environment, • Team-oriented, proactive, responsive — strong culture fit, • Reliable commute to Brooklyn, NYNice to Have, • Interest/aptitude in learning conveyor systems and general kitchen equipment/appliance repair, • RMO License (Refrigeration Machine Operator) or in progress

Job Description I am a manufacturer of children’s hand knit and machine knit apparel in Peru. We do mostly high end work in hand dyed merino wool superwash. Our high end product is private labeled for the brands we produce for. We have a few stores in Brooklyn that will be launching wholesale of the product we private labeled for them and they both need help with technical design and fitting to get sizing perfect. There’s nothing quite like finding a perfectly sized set of clothing that fit flawlessly – from the rise to the hem to the width of the neck opening. Getting it right the first time is like discovering the pot of gold at the end of the rainbow. I always credit our masterful technical designers for making that ideal fit possible. Right now I am looking to find a highly skilled children’s technical designer to freelance at first and then possibly become full time. Our team is critical, not just because they can make a shopper’s perfect-fitting dream outfit come true, but because of their work to ensure all garments and apparel fit correctly. What should you be skilled at? We need an enthusiastic expert to bridge the gap between design and our production team In Lima, PERÚ. Once a design is finalized, our technical designer will translate the concept into technical specifications that we as the manufacturer can easily understand and execute. Their work will include creating detailed technical sketches, developing patterns, conducting in person fittings and quality checks. They will also provide guidance on yarn and textile selection and construction techniques. Below are a list of skills the tech designer we seek should have: 1. Translate unique design concepts into detailed technical specifications and sketches, 2. Collaborate with us the manufacturer to ensure designs are feasible and can be successfully manufactured, 3. Develop and create precise patterns for garments, factors such as fit, construction, and production methods are critical to understand., 4. Perform thorough quality checks on prototypes and size sets to ensure they meet specified standards as required and communicate both verbally and through e-mail to address any issues or discrepancies that may have arisen., 5. Provide guidance and support to us as the manufacture regarding garment construction techniques, fabric or yarn selection, and production processes, 6. Maintain accurate and detailed documentation of technical specifications, patterns, and any revisions, 7. Collaborate with our suppliers and vendors to source materials and trims that align with design requirements and quality standards You should bring the following requirements: A. Experience working in the children’s fashion or apparel industry, in a technical design role preferably with a children’s brand or manufacturer. B. Bachelor’s degree in fashion design, apparel engineering, or a related field or over 10 years hands on experience. C. Strong proficiency in babies and children’s garment construction and pattern making techniques D. At least 5 years experience with industry-standard design software and tools such as Adobe Illustrator and Microsoft Excel E. Ability to translate children’s design concepts into detailed technical specifications and sketches F. Experience conducting in person fittings and making necessary adjustments to patterns and technical packs for optimal fit G. Familiarity with different fabrics & yarns, and their suitability for specific designs H. Understanding of manufacturing processes and ability to guide production team I. Attention to detail and ability to maintain high standards of quality control J. Superb problem-solving skills and the ability to address design challenges effectively I. Strong collaboration and communication skills to work effectively with cross-functional teams J. Up-to-date knowledge of industry trends, emerging technologies, and advancements in knitted garment manufacturing K. Strong organizational skills and the ability to manage time effectively meet and required production deadlines

Job DescriptionBenefits: • Bonus based on performance, • Company car, • Competitive salary, • Health insurance, • Opportunity for advancement, • Paid time off, • Training & development, • Vision insurance, • Dental insurance, • Free uniforms This Is Not Your Typical Job Posting Most job ads are full of corporate buzzwords, vague promises, and a laundry list of “requirements” that don’t tell you what the job is actually like. That’s not us. We’re looking for the one person who reads this and thinks: “Yeah — I could do this, and I’d fit in here.” At PIRTEK Staten Island, we keep New York’s equipment moving. From tugboats and shipyards to construction sites and industrial machines, when a hose blows or a machine goes down, work stops — and we’re the ones who get the call to get it running again. Fast. This is hands-on work, real problem-solving, and real responsibility. If you want an easy, predictable desk job, this isn’t it. If you want a career where your work actually matters, keep reading. Who We Are We’re a tight-knit Staten Island crew. We work hard, we bust chops, and we argue about important things — like who actually has the best pizza or bagels, and which New York team is going to inevitably break our hearts this season. We’re NYC through and through, and we take pride in that. Our customers aren’t always easy, the work isn’t always clean, the weather doesn't always cooperate and breakdowns don’t care what time it is — but that’s exactly why they call us. A few things we take seriously: • Communication matters. With customers and with each other., • Processes exist for a reason. Following them keeps everyone safe and successful., • Respect is non-negotiable. For customers, teammates, and equipment., • We hustle — and we get rewarded for it. Our best techs treat a customer’s equipment like it’s their own. That mindset is why most of our customers stick with us long-term. We believe in win-win-win: the customer wins, the company wins, and the tech wins. What You’ll Actually Do This isn’t a vague “technician” role. Here’s the real work: • Drive a fully outfitted PIRTEK mobile service van across Staten Island and the greater NYC area, • Respond to on-site breakdowns, routinely on an emergency basis, • Diagnose, replace, and install hydraulic and industrial hoses, • Work on:, • Marine equipment, tugboats, and shipyards, • Construction equipment, • Industrial machinery, • Machine servicing and cylinder repair, • Be part of the on-call rotation (yes, nights and weekends happen — and yes, you’re paid extra for it), • Communicate clearly with customers — explaining what’s wrong and what it’ll take to fix it, • Keep your truck, tools, and paperwork in order so you’re always ready to roll You Might Be a Fit If… • You like working with your hands and figuring things out, • You hustle and don’t need to be babysat, • You can stay calm when a customer is stressed and a machine is down, • You communicate well — problems don’t get ignored here, • You respect processes and understand they protect you, • You’re mechanically inclined (cars, boats, heavy equipment, machines — it all helps but specific experience isn't required), • You don’t mind dirt, grease, tight spaces, or being on your feet, • You have a valid driver’s license and can pass a background and drug check No hose experience? No problem. We provide hands-on training and 24/7 technical support. Training & Growth • 4–6 weeks of structured training, • Then you’ll be trusted to run your own service calls, • Over time, you’ll gain specialized repair knowledge (marine, cylinders, advanced diagnostics), • Strong performers can move into Lead Tech roles within 12–24 months, • This is a career path, not a dead-end job Pay & Benefits • $25–$35/hour depending on experience, • Commission-based sales incentives and performance bonuses, • Paid on-call premiums, • Company vehicle and phone, • Health benefits: medical, dental, and vision, • Paid time off and holidays, • Ongoing certified training and growth opportunities The Bottom Line This job isn’t for everyone — and that’s intentional. But if you want: • Real responsibility, • Real skills, • Real earning potential, • And to be part of a crew that actually has your back Then PIRTEK Staten Island might be the right move for you. Flexible work from home options available.

Job Description Mico Cooling Corp. is a service company affiliated with Local 638. We are looking for a service technician with a minimum of 2 - 3 years of independent field experience to drive our company vehicle to service and repair commercial refrigeration equipment. Responsibilities: • Respond to service calls within the (5) boroughs of NYC., • Troubleshoot and repair commercial refrigeration equipment, ice machine experience, • Communicates with customers and office regarding status of repairs, • Completes service tickets according to procedures, • Maintaining current vehicle inventory, cleanliness and maintenance, • Performing manual tasks such as: bending, reaching, standing, lifting/carrying up to 50 lbs., or maneuvering heavier items with additional manpower or appropriate devices Qualifications: • High school graduate/GED or the equivalent, • EPA Certified, • Mechanically inclined, • Valid driver's license and clean driving record, • Accurately and promptly completes required paperwork, • Own industry’s standard hand tools, • Successfully complete and pass: a criminal background check and driver's license check

Applied Researcher I\n \n \n\n Overview:\n\n\n \n \n \n \n \n \n \n \n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n \n \n Team Description: \n \n \n \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n \n In this role, you will: \n \n \n \n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n \n \n \n The Ideal Candidate: \n \n \n \n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. \n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. \n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. \n • \n Has a deep understanding of the foundations of AI methodologies. \n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. \n • \n Experience in delivering libraries, platform level code or solution level code to existing products. \n • \n A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. \n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. \n \n \n \n \n Basic Qualifications: \n \n \n \n • \n Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research \n \n \n \n Preferred Qualifications: \n \n \n \n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \n Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n \n \n \n • \n Behavioral Models \n \n • \n PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) \n • \n Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR \n • \n Worked on scaling graph models to greater than 50m nodes \n • \n Experience with large scale deep learning based recommender systems \n • \n Experience with production real-time and streaming environments \n • \n Contributions to common open source frameworks (pytorch-geometric, DGL) \n • \n Proposed new methods for inference or representation learning on graphs or sequences \n • \n Worked datasets with 100m+ users \n \n • \n Optimization (Training & Inference) \n \n • \n PhD focused on topics related to optimizing training of very large deep learning models \n • \n Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n • \n Experience optimizing training for a 10B+ model \n • \n Deep knowledge of deep learning algorithmic and/or optimizer design \n • \n Experience with compiler design \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n • \n Data Preparation \n \n • \n Publications studying tokenization, data quality, dataset curation, or labeling \n • \n Contribution to a major open source corpus \n • \n Contribution to open source libraries for data quality, dataset curation, or labeling \n \n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n \n \n \n \n \n\n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $218,700 - $249,600 for Applied Researcher I\n \n New York, NY: $238,600 - $272,300 for Applied Researcher I\n \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher I\n \n San Francisco, CA: $238,600 - $272,300 for Applied Researcher I\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher I\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher II\n \n \n Overview: \n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n \n Team Description: \n \n \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n \n In this role, you will: \n \n \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n\n \n \n The Ideal Candidate: \n \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. \n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. \n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. \n • \n Has a deep understanding of the foundations of AI methodologies. \n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. \n • \n Experience in delivering libraries, platform level code or solution level code to existing products. \n • \n A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. \n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. \n\n \n \n Basic Qualifications: \n \n \n \n\n • \n Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research \n\n \n \n \n Preferred Qualifications: \n \n \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \n Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n\n \n\n • \n Behavioral Models \n \n • \n PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) \n • \n Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR \n • \n Worked on scaling graph models to greater than 50m nodes \n • \n Experience with large scale deep learning based recommender systems \n • \n Experience with production real-time and streaming environments \n • \n Contributions to common open source frameworks (pytorch-geometric, DGL) \n • \n Proposed new methods for inference or representation learning on graphs or sequences \n • \n Worked datasets with 100m+ users \n \n • \n Optimization (Training & Inference) \n \n • \n PhD focused on topics related to optimizing training of very large deep learning models \n • \n Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n • \n Experience optimizing training for a 10B+ model \n • \n Deep knowledge of deep learning algorithmic and/or optimizer design \n • \n Experience with compiler design \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n • \n Data Preparation \n \n • \n Publications studying tokenization, data quality, dataset curation, or labeling \n • \n Contribution to a major open source corpus \n • \n Contribution to open source libraries for data quality, dataset curation, or labeling \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $262,500 - $299,600 for Applied Researcher II\n \n New York, NY: $286,400 - $326,800 for Applied Researcher II\n \n Cambridge, MA: $262,500 - $299,600 for Applied Researcher II\n \n San Francisco, CA: $286,400 - $326,800 for Applied Researcher II\n \n San Jose, CA: $286,400 - $326,800 for Applied Researcher II\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (AI Foundations)\n \n \n Overview: \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n In this role, you will: \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n\n \n The Ideal Candidate: \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. \n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. \n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. \n • \n Has a deep understanding of the foundations of AI methodologies. \n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. \n • \n Experience in delivering libraries, platform level code or solution level code to existing products. \n • \n A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. \n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. \n\n \n Basic Qualifications: \n\n • \n Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research \n\n \n Preferred Qualifications: \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \n Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n • \n Optimization (Training & Inference) \n \n • \n PhD focused on topics related to optimizing training of very large deep learning models \n • \n Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n • \n Experience optimizing training for a 10B+ model \n • \n Deep knowledge of deep learning algorithmic and/or optimizer design \n • \n Experience with compiler design \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher I\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher I\n \n New York, NY: $238,600 - $272,300 for Applied Researcher I\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher I\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (MLXT)\n \n \n Overview: \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n As a Senior Lead AI Engineer, you will drive critical technical initiatives that shape the future of enterprise AIML infrastructure targeted to transform the business analysis experience in a highly regulated environment. You will play a pivotal role in modernizing our core Analyst & AIML workflow orchestration layer and user interface, integrating frontier generative AI capabilities and self-serve tooling to enable no-code/low-code, well-governed model development for business domain experts. \n \n In this role, you will: \n\n • \n Modernize Workflows: Advance the orchestration layer and UI with generative AI capabilities and self-serve tooling to democratize AI development through governed, low-code/no-code tools for business domain experts. \n • \n Build Agentic-Driven Infrastructure: Modernize our platform services with agentic infrastructure that is reliable, scalable, secure, and seamlessly adheres to enterprise guardrails. \n • \n Drive AutoML Innovation: Scale enterprise-grade managed AutoML offerings for tabular and time-series data to radically reduce solution time-to-market from weeks to days. \n • \n Engineer AI-Driven Controls: Evolve the core component marketplace by engineering cutting-edge, automated governance frameworks \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications: \n\n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, integrating, delivering, and supporting complex AI systems \n • \n Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (SDK's: Gen AI Evaluation and MCP)\n \n \n Overview: \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n In this role, you will: \n \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications: \n\n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, integrating, delivering, and supporting complex AI systems \n • \n Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n\n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning)\n \n \n Overview: \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n In this role, you will: \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n\n \n The Ideal Candidate: \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. \n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. \n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. \n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. \n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. \n • \n Has a deep understanding of the foundations of AI methodologies. \n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. \n • \n Experience in delivering libraries, platform level code or solution level code to existing products. \n • \n A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. \n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. \n\n \n Basic Qualifications: \n\n • \n Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research \n\n \n Preferred Qualifications: \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 5 years of industrial NLP research experience \n • \n Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Publications in deep learning theory \n • \n Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n • \n Data Preparation \n \n • \n Publications studying tokenization, data quality, dataset curation, or labeling \n • \n Contribution to a major open source corpus \n • \n Contribution to open source libraries for data quality, dataset curation, or labeling \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $218,700 - $249,600 for Applied Researcher I\n \n McLean, VA: $218,700 - $249,600 for Applied Researcher I\n \n New York, NY: $238,600 - $272,300 for Applied Researcher I\n \n San Jose, CA: $238,600 - $272,300 for Applied Researcher I\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Distinguished AI Engineer (Remote Eligible)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n \n Team Description: \n \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n \n In this role, you will: \n \n \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n \n The Ideal Candidate: \n \n \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n \n Basic Qualifications: \n \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies \n • \n At least 10 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications: \n\n • \n 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems \n • \n Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or related \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer\n \n Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer\n \n McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer\n \n New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Sr. Lead Machine Learning Engineer (IC)\n \n \n As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. \n \n What You’ll Do: \n The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: \n\n • \n Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor’s Degree \n • \n At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) \n • \n At least 4 years of experience programming with Python, Scala, or Java \n • \n At least 3 years of experience building, scaling, and optimizing ML systems \n • \n At least 2 years of experience leading teams developing ML solutions \n\n \n Preferred Qualifications: \n\n • \n Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field \n • \n Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform \n • \n 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or XGboost \n • \n 3+ years of experience developing performant, resilient, and maintainable code \n • \n 3+ years of experience with data gathering and preparation for ML models \n • \n 3+ years of people management experience \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n 3+ years of experience building production-ready data pipelines that feed ML models \n • \n Ability to communicate complex technical concepts clearly to a variety of audiences \n • \n Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer\n \n Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)\n \n \n\n As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.\n \n Team:\n The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.\n \n What you’ll do in the role: \n \n The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:\n\n\n • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.\n, • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).\n, • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.\n, • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.\n, • Retrain, maintain, and monitor models in production.\n, • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.\n, • Construct optimized data pipelines to feed ML models.\n, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.\n, • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.\n, • Use programming languages like Python, Scala, or Java. \n\n\n \n Basic Qualifications:\n\n\n • Bachelor’s Degree\n, • At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)\n, • At least 4 years of experience programming with Python, Scala, or Java\n, • At least 2 years of experience building, scaling, and optimizing ML systems\n\n\n \n Preferred Qualifications:\n\n\n • Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field\n, • 3+ years of experience building production-ready data pipelines that feed ML models\n, • 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow\n, • 2+ years of experience developing performant, resilient, and maintainable code\n, • 2+ years of experience with data gathering and preparation for ML models\n, • 2+ years of people leader experience\n, • 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation\n, • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform\n, • Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance\n, • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents\n, • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion\n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n In this role, you will: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. \n • \n A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. \n • \n Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. \n • \n Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. \n • \n You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. \n • \n You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs \n • \n Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. \n\n \n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n Capital One is open to hiring a Remote Employee for this opportunity \n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies \n • \n At least 10 years of experience programming with Python, Go, Scala, or Java \n\n \n \n Preferred Qualifications: \n \n \n\n • \n 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) \n • \n 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) \n • \n 8+ years of experience designing mission-critical machine learning platforms \n • \n 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n • \n Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Master's degree in Computer Science, Computer Engineering, or relevant technical field \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading GenAI or LLM-Powered application architectures in production \n • \n Deep understanding of Responsible AI, data privacy and multi-tenant security patterns \n • \n K8s mastery (multi-region clusters, service mesh) \n • \n Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production \n\n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer\n \n Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer\n \n McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer\n \n New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Director, AI Engineering -Agentic AI Platform(Remote Eligible)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n In this role, you will: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One \n • \n Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n • \n Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI \n\n \n Capital One is open to hiring a Remote Employee for this opportunity \n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing or leading AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing or leading AI and ML algorithms or technologies \n • \n At least 5 years of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 7 years of experience managing and leading an engineering team \n • \n 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) \n • \n Master's degree in Computer Science, Computer Engineering, or relevant technical field \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Remote (Regardless of Location): $286,200 - $326,700 for Sr. Director, AI Engineering\n \n Cambridge, MA: $314,800 - $359,300 for Sr. Director, AI Engineering\n \n McLean, VA: $314,800 - $359,300 for Sr. Director, AI Engineering\n \n New York, NY: $343,400 - $392,000 for Sr. Director, AI Engineering\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Director, AI Engineering\n \n San Jose, CA: $343,400 - $392,000 for Sr. Director, AI Engineering\n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Compensation Type: Hourly Highgate Hotels: Highgate is a leading real estate investment and hospitality management company with over $15 billion of assets under management and a global portfolio of more than 400 hotels spanning North America, Europe, the Caribbean, and Latin America. With a 30-year track record as an innovator in the hospitality industry, this forward-thinking company provides expert guidance through all stages of the property cycle, from planning and development through recapitalization or disposition. Highgate continues to demonstrate success in developing a diverse portfolio of bespoke lifestyle hotel brands, legacy brands, and independent hotels and resorts, featuring contemporary programming and digital acumen. The company utilizes industry-leading revenue management tools that efficiently identify and predict evolving market dynamics to drive outperformance and maximize asset value. With an executive team of seasoned hospitality leaders and corporate offices worldwide, Highgate is a trusted partner for top ownership groups and major hotel brands. _ Location: Edging the bright lights of Broadway and the calm of Bryant Park, The Knickerbocker is a legendary New York landmark reborn as the first luxury hotel in Times Square. Filled with fabled legends, The Knickerbocker once played host to legendary political bigwigs, actresses, oil tycoons and sports figures—and it’s rumored the martini was invented here in the hotel. While historic details like the hotel’s gorgeous Beaux-Arts facade remain unchanged, a soothing new luxury aesthetic is offered within. The stunning transformation of this treasured Manhattan monument invites discerning travelers to discover 330 luxe guestrooms and suites boasting incredible views and bespoke furnishings. An air of posh authenticity embraces New York City’s premier luxury lifestyle hotel. Overview: The Kitchen Steward/Cleaner is responsible for the cleaning operation in all Food and Beverage areas, and is also expected to to maintain an acceptable level of sanitation and cleanliness throughout the Food and Beverage areas, in accordance with the Department of Environmental & Health Services. Responsibilities: • Operate the dishwashing equipment to ensure that all china, glass, and silver are cleaned thoroughly and sanitation of such is maintained., • Return all clean china, glass, and silver to its proper storage location using care to minimize breakage., • Knowledge of proper safe handling techniques for all chemicals used., • Sweep and Mop and assure organization of the entire Kitchen area including: sinks, ice machine, soap and sanitizers, • Manually wash and scrub all pots and pans., • Ensure all dispensers are fully stock of paper, soap and sanitizer., • Maintain a high standard of cleanliness and orderliness in all kitchens and utility work areas., • Wash tile floors in all food and beverage areas., • Empty trash and keep cans clean., • Comply with all Loss Prevention guidelines., • Sweep and mop floor. Keep floors clean and dry; clean up wet spills immediately., • Comply and assure compliance with all safety standards by following all safety rules and procedures., • Attend meetings/training as required by management. Qualifications:, • High School diploma or equivalent and/or experience in a hotel or related field preferred., • Flexible and long hours required at times., • Heavy work - Exerting up to 100 pounds of force occasionally and/or 50 pounds of force frequently and/or 20 pounds of force constantly to lift, push, pull or otherwise move objects., • Ability to stand during entire shift., • Maintain a warm and friendly demeanor at all times., • Must be able to effectively communicate both verbally and written, with all level of employees and guests in an attentive, friendly, courteous and service oriented manner., • Must be effective at listening to, understanding, and clarifying concerns raised by employees and guests., • Must be able to multitask and prioritize departmental functions to meet deadlines., • Approach all encounters with guests and employees in an attentive, friendly, courteous and service-oriented manner., • Attend all hotel required meetings and trainings., • Maintain regular attendance in compliance with Highgate Hotel Standards, as required by scheduling, which will vary according to the needs of the hotel., • Maintain high standards of personal appearance and grooming, which includes wearing the proper uniform and nametag., • Comply with Highgate Hotel Standards and regulations to encourage safe and efficient hotel operations., • Maximize efforts towards productivity, identify problem areas and assist in implementing solutions., • Must be effective in handling problems, including anticipating, preventing, identifying and solving problems as necessary., • Must be able to understand and apply complex information, data, etc. from various sources to meet appropriate objectives., • Must be able to cross-train in other hotel related areas., • Must be able to maintain confidentiality of information., • Must be able to show initiative, including anticipating guest or operational needs.

Job DescriptionCompany: Simon Quick Advisors Position: Associate Location: New York, NY (hybrid) Compensation: Starting at 80,000 (based on experience), plus bonus and benefits _ Company Description Simon Quick Advisors is an independent, employee-owned RIA that offers holistic financial planning solutions for affluent families, business owners and executives. We offer sophisticated strategies built around individual needs, preferences, risk tolerances, objectives, and tax considerations. Our purpose is to give our clients and our team the freedom to pursue what matters. We give our clients the peace of mind in knowing that they have a trusted partner in Simon Quick. This allows them to focus more of their attention on their careers, relationships, and hobbies. Similarly, we exist to serve our employees. We seek to provide our team with fulfilling careers, significant growth opportunities, and a best-in-class employee experience, ultimately giving them the same sense of freedom. Mission of the Position The Client Advisory Associate plays a vital role in delivering a high-touch, personalized client experience by supporting Client Advisors in the design and execution of comprehensive wealth management strategies. This includes contributions across key planning areas such as investments, tax, estate, insurance, and cash flow. The Associate ensures operational excellence, strengthens client relationships, and supports the creation of thoughtful, data-driven financial plans that align with each client’s unique goals. This role is intentionally structured as a developmental path toward becoming a lead advisor and obtaining the CFP® designation, offering exposure to all facets of holistic financial planning and client service. Top Accountabilities • Accountability 1: Support the Development of Comprehensive Financial Planning and Investment Recommendations: Assist in analyzing client goals, needs, and financial data to propose tailored recommendations across all areas of wealth management including investment strategy, retirement planning, tax optimization, estate planning, and risk management., • KPI: Proactive identification of planning opportunities and quality of recommendations across multiple planning domains (e.g., tax, estate, insurance), • KPI: Accuracy and clarity of recommendations presented to the Client Advisor, • Accountability 2: Deliver High-Quality Client Service and Daily Communication Support: Serve as a key point of contact for clients to support ongoing service needs, clarify planning strategies, and coordinate implementation across internal and external stakeholders., • KPI: High client satisfaction scores, • KPI: Timely and professional response to client inquiries, • Accountability 3: Execute and Monitor Investment and Financial Plan Implementation: Manage the operational execution of investment changes and financial planning recommendations, ensuring seamless coordination and documentation., • KPI: Zero data inconsistencies across internal systems, • KPI: Timely execution and follow-through on client decisions, • Accountability 4: Maintain and Review Client Performance and Planning Reports: Support the preparation and quality control of performance reports and planning updates, ensuring that they reflect current client objectives and financial conditions., • KPI: On-time and error-free delivery of client performance and planning reports, • KPI: Accuracy in reflecting portfolio and planning changes, • Accountability 5: Ensure Adherence to Fiduciary, Compliance, and Procedural Standards: Monitor and document client activity to ensure alignment with firm policies, fiduciary obligations, and best practices in client care., • KPI: 100% compliance with documentation and procedural standards, • KPI: Timeliness of implementation and reporting Other Duties & Responsibilities • Engage directly with clients to support a variety of service needs while helping to foster trusted, long-term relationships., • Coordinate with third-party providers, including custodians, investment managers, estate attorneys, and tax professionals, to facilitate timely and accurate execution of client strategies., • Interface with external investment managers to gather information, track investment activity, and support the alignment of client portfolios with overall planning goals., • Prepare meeting materials such as financial plans, performance reports, and investment summaries; participate in client meetings and capture next steps and follow-ups., • Uphold strict client confidentiality and remain vigilant in monitoring accounts for unusual or potentially fraudulent activity., • Collaborate with the Client Service Associate and other team members to ensure seamless execution of operational and administrative tasks. Key Criteria/Requirements • Bachelor’s degree, • 3-6 years of financial services experience, • Experience with Fidelity and Schwab, • Experience using DocuSign, Orion, Salesforce, and eMoney, • Proficiency in Microsoft Office (Excel, Outlook, PowerPoint, Word), • Experience with tax and estate planning concepts (trust structures, estate/gift tax planning, Roth conversions, charitable giving strategies, etc.) preferred, • While the CFP® certification is not required upon hire, candidates are expected to pursue and obtain the CFP® designation as part of their long-term professional development once approved by management. Key Competencies • Attention to Detail: Ability to spot discrepancies and ensure accuracy in financial data, • Client Focus: Builds and maintains strong client relationships through excellent service, • Problem Solving: Addresses issues with initiative and sound judgment, • Communication: Effectively conveys ideas verbally and in writing, • Technical Proficiency: Expert use of financial systems and software, • Adaptability: Manages multiple tasks while meeting deadlines in a dynamic environment, • Analytical Thinking: Applies logic and data analysis to decision-making, • Accountability: Takes ownership of responsibilities and deliverables, • Collaboration: Works well within a team, supporting collective goals, • Confidentiality: Maintains privacy and trust with sensitive client information Physical Requirements • Must be able to remain in a stationary position 50% of the time., • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and computer printer., • The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. Simon Quick Advisors, LLC is an Equal Opportunity Employer and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. Powered by JazzHR Ak11TmFR0k

Job DescriptionDescription: The Team Captain, in close partnership with the General Manager (GM) and Area General Manager, is responsible for the local experience in the coffee shop, as well as maintaining a cohesive, efficient and positive store environment. The Team Captain ensures that teammates are in the right place, doing the right things at the right time, to provide the local with a genuine daily escape. Assisting the GM in building a cohesive, efficient and stable team, the Team Captain acts as manager on duty in the absence of the GM. With keen awareness of the store’s financial performance the Team Captain drives the efficiency and recognition in the store to maximize and meet sales targets & average customer spend. The Team Captain understands & role models the Steps of Service, trains and directs the team to perform consistently. Positioning: The Team Captain is typically positioned behind the bar working alongside the team, frequently working on the POS station whilst overseeing the coffee shop as a whole, to ensure locals are receiving excellent & fast service, and that the store is clean. Essential Functions/Responsibilities: Ownership: ? Keen eye for detail and eyes over the store, the Team Captain sees locals needs, benches that need to be cleaned, a wobbly table, plates needed for clearing, etc and directs the team to act accordingly. ? In a busy environment, the Team Captain is all hands on deck and pitches in. ? Keeps the team motivated, engaged & busy during busy & down time; delegates to ensure all locals are serviced, all tasks are completed. ? Supports the GM or Area GM in achieving the efficient scheduling of all line team members while on shift, i.e. proactively sending people home early if the store is quiet ? Leads by example and reflects the company’s competencies & behaviors at all times. ? Responsible for overseeing waste management & inventory within their coffee shop. ? Provides feedback to GM or Area GM in their absence, at end of day, so adjustments can be made going forward: i.e. staffing opportunities, product needs/waste, customer requests or issues. ? Assists in onboarding and development of new team members. Has clear understanding of what good looks like in store. ? Working closely with the GM or Area GM ensure teammates are performing to expectations at all times, work together to create action plan to address performance needs. Speed: ? Drives sales in the coffee shop, ensuring aces in places and constantly upselling. ? Is a peer, coach and mentor. Develops teams to continuously improve performance & reach goals. Team Captain – Coffee Shops September 2019 Page 1 of 3 ? Provides regular feedback on team performance to GM or Area GM. Quality Product: ? Helps to develop a cohesive team and encourages the vision and culture of Bluestone Lane and work together towards achieving the common goals across the store. ? Assists as needed in ordering appropriate stock levels. ? Reports any issues with suppliers in a timely manner to the GM or Area GM. ? Follows implemented systems, to avoid wastage of food and beverage product. ? Ensures proper measures are in place to achieve the correct handling of food and beverage product to retain its freshness and quality. ? Maintains accurate product knowledge and ensures all team members follow specifications especially adhering to portion control in line with appropriate costing for a dish or beverage to avoid wastage of food and beverage product. Recognition: • First point of contact for locals and displays Aussie optimism and energy., • Communicates and interacts with locals using clear and enthusiastic words, tone of voice and body language. Makes locals feel appreciated and valued throughout interactions., • Sets tone in store – brings energy in everything you do., • Builds strong connection with locals. Learns names and creates a personal connection with them to build repeat business and create a daily escape., • Understands locals’ community. Awareness of trends and competition in the area., • Participates in projects to increase average check, daily sales, and operational profitability and develop a loyal local base. Cleanliness: ? Regularly comes around the bar (average of once every 15-20 minutes) to clean and restock condiment stations, clear and wipe down tables & counters. ? Supports the management of cleaning schedules on a daily, weekly and monthly basis and ensures deep cleans are performed regularly. Maintains an organized and clean working environment. ? Maintains DOH standards and ensures proper protocol is being followed daily. ? Completes store opening and closing procedures accurately and efficiently. ? Ensures expectations are met in all areas of the store regarding safety, cleaning, storage, ordering and sanitation for the store, escalating issues as required to the GM or Area GM. Measures of Success: • Cross-functional operations - flexible and agile moving from machine to serving local at POS, service focused and quality driven., • Team understand and follow direction; seen as mentor and coach to teammates., • Store team members stability and efficiency., • Locals feel welcomed & special when entering & while at the store., • Achievement of stores sales revenue & achieving the success factors for coffee shops., • Locals walk into store to place an order and paying at POS within 2 minutes., • Average pick-up time from leaving POS is 2 minutes for coffee and 5 minutes for coffee & food. Skills, Knowledge & Experience: ? You possess a passion for customer service. Team Captain – Coffee Shops September 2019 Page 2 of 3 ? You have worked in hospitality for minimum of 3 years. ? You have at least one year of supervisory experience. ? You are able to work in high-pressure, fast-paced work environment. ? You are well-organized and detail-oriented, you are able to view the workspace with a fresh set of eyes each day. ? You have experience using a Point of Sale (POS) system. ? You demonstrate the desire and ability to lead, communicate and train team members. ? You have accreditation with the Department of Health for Food Protection Certificate & Bluestone Lane Barista Accreditation. ? You possess strong interpersonal, leadership and verbal communication skills. ? Ability to stand for extended periods and lift up to 40lbs. Work Environment: Working conditions are typically indoors in environmentally controlled conditions. While performing the duties of this job, the employee is regularly required to talk or hear. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Requirements:

Job DescriptionDescription: The Team Captain, in close partnership with the General Manager (GM) and Area General Manager, is responsible for the local experience in the coffee shop, as well as maintaining a cohesive, efficient and positive store environment. The Team Captain ensures that teammates are in the right place, doing the right things at the right time, to provide the local with a genuine daily escape. Assisting the GM in building a cohesive, efficient and stable team, the Team Captain acts as manager on duty in the absence of the GM. With keen awareness of the store’s financial performance the Team Captain drives the efficiency and recognition in the store to maximize and meet sales targets & average customer spend. The Team Captain understands & role models the Steps of Service, trains and directs the team to perform consistently. Positioning: The Team Captain is typically positioned behind the bar working alongside the team, frequently working on the POS station whilst overseeing the coffee shop as a whole, to ensure locals are receiving excellent & fast service, and that the store is clean. Essential Functions/Responsibilities: Ownership: ? Keen eye for detail and eyes over the store, the Team Captain sees locals needs, benches that need to be cleaned, a wobbly table, plates needed for clearing, etc and directs the team to act accordingly. ? In a busy environment, the Team Captain is all hands on deck and pitches in. ? Keeps the team motivated, engaged & busy during busy & down time; delegates to ensure all locals are serviced, all tasks are completed. ? Supports the GM or Area GM in achieving the efficient scheduling of all line team members while on shift, i.e. proactively sending people home early if the store is quiet ? Leads by example and reflects the company’s competencies & behaviors at all times. ? Responsible for overseeing waste management & inventory within their coffee shop. ? Provides feedback to GM or Area GM in their absence, at end of day, so adjustments can be made going forward: i.e. staffing opportunities, product needs/waste, customer requests or issues. ? Assists in onboarding and development of new team members. Has clear understanding of what good looks like in store. ? Working closely with the GM or Area GM ensure teammates are performing to expectations at all times, work together to create action plan to address performance needs. Speed: ? Drives sales in the coffee shop, ensuring aces in places and constantly upselling. ? Is a peer, coach and mentor. Develops teams to continuously improve performance & reach goals. Team Captain – Coffee Shops September 2019 Page 1 of 3 ? Provides regular feedback on team performance to GM or Area GM. Quality Product: ? Helps to develop a cohesive team and encourages the vision and culture of Bluestone Lane and work together towards achieving the common goals across the store. ? Assists as needed in ordering appropriate stock levels. ? Reports any issues with suppliers in a timely manner to the GM or Area GM. ? Follows implemented systems, to avoid wastage of food and beverage product. ? Ensures proper measures are in place to achieve the correct handling of food and beverage product to retain its freshness and quality. ? Maintains accurate product knowledge and ensures all team members follow specifications especially adhering to portion control in line with appropriate costing for a dish or beverage to avoid wastage of food and beverage product. Recognition: • First point of contact for locals and displays Aussie optimism and energy., • Communicates and interacts with locals using clear and enthusiastic words, tone of voice and body language. Makes locals feel appreciated and valued throughout interactions., • Sets tone in store – brings energy in everything you do., • Builds strong connection with locals. Learns names and creates a personal connection with them to build repeat business and create a daily escape., • Understands locals’ community. Awareness of trends and competition in the area., • Participates in projects to increase average check, daily sales, and operational profitability and develop a loyal local base. Cleanliness: ? Regularly comes around the bar (average of once every 15-20 minutes) to clean and restock condiment stations, clear and wipe down tables & counters. ? Supports the management of cleaning schedules on a daily, weekly and monthly basis and ensures deep cleans are performed regularly. Maintains an organized and clean working environment. ? Maintains DOH standards and ensures proper protocol is being followed daily. ? Completes store opening and closing procedures accurately and efficiently. ? Ensures expectations are met in all areas of the store regarding safety, cleaning, storage, ordering and sanitation for the store, escalating issues as required to the GM or Area GM. Measures of Success: • Cross-functional operations - flexible and agile moving from machine to serving local at POS, service focused and quality driven., • Team understand and follow direction; seen as mentor and coach to teammates., • Store team members stability and efficiency., • Locals feel welcomed & special when entering & while at the store., • Achievement of stores sales revenue & achieving the success factors for coffee shops., • Locals walk into store to place an order and paying at POS within 2 minutes., • Average pick-up time from leaving POS is 2 minutes for coffee and 5 minutes for coffee & food. Skills, Knowledge & Experience: ? You possess a passion for customer service. Team Captain – Coffee Shops September 2019 Page 2 of 3 ? You have worked in hospitality for minimum of 3 years. ? You have at least one year of supervisory experience. ? You are able to work in high-pressure, fast-paced work environment. ? You are well-organized and detail-oriented, you are able to view the workspace with a fresh set of eyes each day. ? You have experience using a Point of Sale (POS) system. ? You demonstrate the desire and ability to lead, communicate and train team members. ? You have accreditation with the Department of Health for Food Protection Certificate & Bluestone Lane Barista Accreditation. ? You possess strong interpersonal, leadership and verbal communication skills. ? Ability to stand for extended periods and lift up to 40lbs. Work Environment: Working conditions are typically indoors in environmentally controlled conditions. While performing the duties of this job, the employee is regularly required to talk or hear. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Requirements:

Job Description We are seeking a highly skilled, organized, and dependable Lead CNC & Digital Fabrication Specialist to provide technical leadership across CNC machining, machine setup, and digital fabrication production for fast-paced, creative projects. Reporting functionally to the Digital Fabrication Department Head or assigned Production leadership, and working closely with Project Managers, Production Managers, and Technical Designers, this position drives machine-based production across the project lifecycle. This role is responsible for CNC programming, machine setup, production support, quality control, troubleshooting, and mentoring junior team members. The ideal candidate is highly capable in Rhino and Fusion 360 CAM, resourceful, proactive, and comfortable working in an environment where priorities can shift quickly, with the ability to take ownership of complex work, communicate clearly, and deliver accurate, high-quality results. This role is intended for a senior technical specialist with the potential to develop into broader department leadership as the Digital Fabrication Department continues to grow. Salary Range: $35 – $45 / hour (Dependent on experience) PRIMARY RESPONSIBILITIES CNC Programming, Machining & Digital Fabrication • Program, set up, and support CNC production using Fusion 360 CAM and related shop workflows., • Translate Rhino models, drawings, and project documentation into accurate, production-ready machine workflows., • Develop and optimize CNC machining strategies for complex, 2-sided, sculptural, and nested sheet-good workflows., • Select appropriate CNC tooling, feeds, speeds, fixturing, and machining parameters based on part and machine requirements., • Select appropriate digital fabrication strategies, materials, settings, and setup methods across related equipment., • Operate Homag, Weeke, laser, 3D printing, thermoforming, and related equipment in accordance with shop standards., • Monitor machine performance and troubleshoot programming, tooling, or machine-related issues., • Inspect digitally fabricated components for accuracy, finish quality, and alignment with design intent. Workflow Coordination & Cross-Department Collaboration • Collaborate with Project/Production Managers, and Technical Designers to align scope, schedule, and shop capacity., • Adapt design-provided 3D models for DFAB production through review, flattening, batching, labeling, and Design coordination., • Develop fabrication means, methods, and production strategies for complex builds., • Execute assigned machine queues while supporting planning around staffing, training, and production capacity., • Communicate production status and flag capacity, schedule, tooling, machine, material, or consumable concerns., • Participate in pre-production planning and post-project reviews to support execution and improve workflows., • Support peak-period AM/PM shift coverage, extended hours, evenings, or weekends when workload requires., • Collaborate across departments and take on tasks as needed to support overall shop capacity. Standards, Organization & Continuous Improvement • Maintain organized CAM files, machine settings, handoff notes, reports, and production documentation., • Support machine incident reports, production reports, and project-based material usage tracking., • Support development of department standards, SOPs, training materials, and documentation systems., • Reinforce standards across programming, setup, file organization, and production handoffs., • Coordinate material workflows, including sheet staging, nesting priorities, and machine readiness., • Monitor tooling, materials, and consumables, proactively flagging shortages and recurring issues., • Proactively identify bottlenecks, documentation gaps, and opportunities for workflow improvement., • Utilize CutRite and material management systems to support workflow optimization and material efficiency., • Support preventive maintenance and upkeep of CNC and related equipment, ensuring machines remain production-ready., • Stay current with relevant digital fabrication tools, materials, and production methods., • Maintain a clean, organized, and safe work environment, following all shop safety protocols., • Mentor, train, support, and onboard CNC Operators, Digital Fabrication Technicians, and freelance/seasonal support. ABOUT US TWOSEVEN is a multidisciplinary design/build firm located in Brooklyn, New York. We specialize in creating store window displays, retail interiors, showrooms, and event activations for high-profile fashion, luxury, and lifestyle brands. TWOSEVEN offers a wide range of services - combining a design studio, fabrication workshop, and installation team, all under one roof. We devote ourselves to excellent craftsmanship, high-quality design, and attention to detail. Join our creative, friendly, and dynamic workplace. TWOSEVEN is an Equal Opportunity Employer. Requirements • High school diploma or equivalent; background in industrial design, architecture, or related field preferred., • 4+ years of CNC machining and CAM programming experience in fast-paced creative production workshops., • Demonstrated proficiency in Fusion 360 CAM and Rhino; Grasshopper, WoodWop, WoodCAD|CAM, or similar software a plus., • Ability to execute complex machining operations, including multi-operation setups and 2-sided machining., • Ability to translate 3D models, shop drawings, and technical documentation into production-ready machine workflows., • Strong understanding of materials, tooling, feeds/speeds, fixturing, and fabrication methods., • Experience working with wood, MDF, plywood, plastics, foams, acrylics, laminates, and specialty sheet goods., • Experience with Homag/Weeke systems, CutRite, WoodWop, WoodCAD|CAM, or Intellistore preferred., • Hands-on experience with laser cutting and 3D printing workflows, including file prep, setup, and troubleshooting., • Working knowledge of thermoforming, plexi-polishing, fabrication, assembly, and material preparation methods., • Working knowledge of MS Office suite and Windows-based workflows, especially Excel., • Strong communication, organization, problem-solving, and leadership maturity when working cross-functionally., • Calm, collaborative, detail-oriented, and adaptable in fast-paced production environments., • Must be professional, punctual, and dependable, with a strong sense of accountability., • Must be available to work extended hours, evenings, and weekends during peak fabrication periods., • Physically capable of lifting and handling oversized sheet goods., • Forklift / hi-lo experience or willingness to be trained and authorized preferred., • Must be eligible to work in the U.S. Benefits • Employee Health Insurance. Three plans are available after a two-month waiting period, with TwoSeven covering from 55 to 70% of the premium., • (401k) After one year of employment, up to 4% of the salary matched., • Profit-sharing of up to 5% of salary after 1 year of employment., • Up to 80 hours PTO per year., • Up to 40 hours of sick leave per year., • 6 Paid holidays (New Year's Day, Memorial Day, Independence Day, Labor Day, Thanksgiving Day, Christmas Day)., • Life, short-term, and long-term insurance., • Paid Family Leave.

Job Description As part of its mission, Alphapointe provides preferential hiring to people with vision impairments (legally blind). Alphapointe is a non-profit agency whose mission is to empower people with vision loss to achieve their goals and aspirations. Alphapointe offers a great working environment that's both challenging and satisfying as well as an array of benefits including medical, dental, vision and life insurance, short and long term disability, vacation and sick time, paid holidays and flexible spending options as well as a generous 401(k). Job Summary: Ensure raw material has met/passed ISO’s quality controlled inspection before sing. Place material in machine in order to produce part of a finished product or a finished roduct. Ensure material being used is made for machine and for the item being produced. Essential Functions: • Understand and comply with all company safety policies and procedures and utilize all necessary safety equipment., • Understand and comply with the company’s Quality Management System (ISO 9001:2008), • Help meet daily production goals to manufacture product, • Be aware of machine capabilities for production of goods, • Ensure machine is calibrated to perform the task at hand, • Ensure proper directions are followed to operate machine, • Ensure that work area is clean and neat, • Help assure overall cleanliness and safety of work area, • Be prepared to work overtime as needed, • Perform all other activities as requested by management Knowledge and Skill Requirements: • Experience in various machine operations, • High school diploma/GED, • Good mechanical aptitude Working Conditions: • Standing for 8 hour shifts, • Heavy lifting up to 60 pounds Work Schedule: • Monday-Friday - 07:30am-4pm Salary: • $17.00/hr and up based on experience Alphapointe is an Equal Opportunity / Affirmative Action Employer. Minority/Female/Disability/Veteran

Senior Director, Applied Research\n \n \n Overview: \n \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n This is a people manager role that will lead teams to drive strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected people leader, you will guide and mentor a team of applied scientists. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. \n \n In this role, you will: \n \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n\n \n\n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n\n \n\n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n\n \n\n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n\n \n\n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n\n \n The Ideal Candidate: \n \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. \n\n \n\n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. \n\n \n\n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. \n\n \n\n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. \n\n \n\n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. \n\n \n\n • \n Has a deep understanding of the foundations of AI methodologies. \n\n \n\n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n\n \n\n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. \n\n \n\n • \n Experience in delivering libraries, platform level code or solution level code to existing products. \n\n \n\n • \n A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. \n\n \n\n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. \n\n \n Key Responsibilities: \n \n\n • \n Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. \n\n \n\n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n\n \n\n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n\n \n\n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n\n \n\n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n\n \n Basic Qualifications: \n\n • \n PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research \n • \n At least 5 years of people leadership experience \n\n \n Preferred Qualifications [choose applicable set based on focus of role]: \n \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n \n • \n PhD focus on NLP or Masters with 10 years of industrial NLP research experience \n • \n Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) \n • \n Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Has worked on an LLM (open source or commercial) that is currently available for use \n • \n Demonstrated ability to guide the technical direction of a large-scale model training team \n • \n Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens \n • \n Experience with common training optimization frameworks (deep speed, nemo) \n \n\n \n\n • \n Behavioral Models \n \n • \n PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) \n • \n Member of technical leadership for model deployment for a very large user behavior model \n • \n Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR \n • \n Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems \n • \n Experience with production real-time and streaming environments \n • \n Contributions to common open source frameworks (pytorch-geometric, DGL) \n • \n Proposed new methods for inference or representation learning on graphs or sequences \n • \n Worked datasets with 100m+ users \n \n • \n Optimization (Training & Inference) \n \n • \n PhD focused on topics related to optimizing training of very large language models \n • \n 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression \n \n • \n Finetuning \n \n • \n PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) \n • \n Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance \n • \n Experience deploying a fine-tuned large language model \n \n • \n Data Preparation \n \n • \n Numerous Publications studying tokenization, data quality, dataset curation, or labeling \n • \n Leading contributions to one or more large open source corpus (1 Trillion + tokens) \n • \n Core contributor to open source libraries for data quality, dataset curation, or labeling \n \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Sales Territory: $318,100 - $363,100 for Sr Director, Applied Research\n \n Cambridge, MA: $350,000 - $399,500 for Sr Director, Applied Research\n \n McLean, VA: $350,000 - $399,500 for Sr Director, Applied Research\n \n New York, NY: $381,800 - $435,700 for Sr Director, Applied Research\n \n Richmond, VA: $318,100 - $363,100 for Sr Director, Applied Research\n \n San Francisco, CA: $381,800 - $435,700 for Sr Director, Applied Research\n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionBenefits: • Paid time off, • 401(k), • Bonus based on performance, • Competitive salary The Production Finishing Specialist is responsible for the finishing and completion of projects in the center. This Production Finishing Specialist also sometimes includes the staging/preparation of completed jobs to be delivered or shipped to our client’s final destination. BENEFITS/PERKS: • Competitive Compensation, • Flexible Scheduling, • Hard work, collaboration, humanity, fun, and laughter, • Career path development COMPANY OVERVIEW: As an established leader in the Printing, Marketing, and Design industry, our mission is to partner with customers from local small businesses to Fortune 500 organizations and provide them with the tools and expertise needed to grow their businesses. Our tight-knit team, AlphaGraphics - US722 is actively seeking a Bindery Specialist to join us full-time. Our Production Finishing Specialist is primarily responsible for operating various machines and equipment to finish products that have been printed so they can be delivered. More than anything, we’re looking for highly-collaborative and dependable teammates who are driven by the opportunity to contribute to the success of a local business. We are a small, passionate, and fast-paced team that is fully invested in the success of our company, and we value contributions from each team member. WHAT WE EXPECT OF YOU: • Read work orders and take instructions on specifications for finishing of projects., • The ability to work under pressure and manage multiple projects while meeting deadlines, • Operate finishing machine devices, such as cutters, folders, laminators, collators/stitchers, and other production finishing machines as available in the center to facilitate the final assembly of finished products., • Maintain records, such as daily production records, using specified forms., • Follow all quality control procedures as instructed by the owner or manager of the center., • Any other essential functions/duties that are needed to provide the highest quality customer service and product output., • Maintain order and cleanliness within the department. WHAT YOU BRING TO THE TABLE: • 2+ years of experience in operating finishing equipment associated with the print, signage or associated industries, • Positive, Professional Attitude, • Strong Work Ethic, • Problem Solving Skills, • Cooperative interpersonal skills, • Demonstrated ability to work quickly and neatly while multi-tasking, • Basic math skills and ability to use a computer, • Ability to lift 50 lbs safely and work over a waist-high table, • Strong Multi-Tasking Ability, • Effective Communication Skills (oral and written), • Ability to follow instructions and prioritize workload Apply now if you want to become a Production Finishing and Bindery Operator with AlphaGraphics!

Overview: WHY COOLSYS? At CoolSys, we offer more than just a job—we provide stability, growth, and industry-leading benefits for our employees. No wonder Newsweek named CoolSys one of America’s Greatest Workplaces! As a large company serving diverse customers, we invest in our team with: • Competitive Compensation: $30-$52/hr depending on experience, • Sign on Bonus: Up to $5,000 depending on experience, • Ongoing Education & Training: Access to state-of-the-art facilities and paid online training., • Comprehensive Benefits: Medical, Dental, Vision, and Prescription coverage, paid vacation/holidays, and a 401(K) match., • Year-Round, Diverse Work: Stay engaged with consistent, interesting projects throughout the year, working across various industries and systems to keep learning and growing., • Extra Perks: Quarterly bonus plan, tuition reimbursement, employee discounts on vehicles, hotels, theme parks, pet insurance, and more. Join us and advance your career while working with top-tier clients in the HVAC and refrigeration industry! Responsibilities: · Ability to report to work in a timely manner as scheduled by supervisor. · Repair and overhaul equipment such as compressors, water pumps, air handlers, electrical and mechanical control devises and other similar machinery. · Test malfunctioning systems and components using electrical and/or mechanical skills. · Maintain legible corporate and personal records of work history. · Provide general repair work on refrigeration, heating and ventilation equipment such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors and electric motors. · Provide preventative maintenance activities; diagnose equipment malfunctions and operating efficiency of mechanical equipment. · Perform work on minor construction and remodeling projects including startups of new installations. · Other duties as assigned. Qualifications: · 1-2 years of commercial refrigeration experience required. · Experience working on refrigeration equipment in convenience stores or supermarkets a strong plus. Familiarity with single systems and rack systems along with previous work on display cases and walk-in boxes is very helpful. · Must have a good driving record and be able to work independently. · Emergency on-call availability is a basic requirement. · Must be able to lift up to 60 lbs. with no assistance and also be able to sit and/or stand for several hours at a time. Join Us: Today, there are 27 different companies that make up the CoolSys family of brands. Our valued employees are at the heart of our continued growth and success. We invite you to be part of that growth! Connect with us on and . CoolSys is an EEO/AA Employer. All qualified individuals - Including all ages, colors, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other characteristics are encouraged to apply. Pre-employment background screening (criminal and MVR for driving positions) and drug testing are required for all positions. CoolSys will consider qualified applicants with criminal histories in a manner consistent with federal law, state law, or local ordinance. Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, HVACR, supermarket, rack systems

Distinguished AI Engineer - Agentic AI Platform (Remote Eligible)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n \n Why this Role Matters: \n \n \n We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. \n You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. \n \n In this role, you will: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. \n • \n A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. \n • \n Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. \n • \n Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. \n • \n You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. \n • \n You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs \n • \n Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. \n • \n \n\n Capital One is open to hiring a Remote Employee for this opportunity \n \n \n Basic Qualifications: \n \n\n • \n Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies \n • \n At least 8 years of experience programming with Python, Go, Scala, or Java \n\n \n \n Preferred Qualifications: \n \n\n • \n 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) \n • \n 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) \n • \n 8+ years of experience designing mission-critical machine learning platforms \n • \n 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems \n • \n Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Master's degree in Computer Science, Computer Engineering, or relevant technical field \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n • \n Experience leading GenAI or LLM-Powered application architectures in production \n • \n Deep understanding of Responsible AI, data privacy and multi-tenant security patterns \n • \n Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders \n • \n K8s mastery (multi-region clusters, sericie mesh) \n • \n Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer\n \n McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer\n \n New York, NY: $293,600 - $335,100 for Distinguished AI Engineer\n \n San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer\n \n San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Staff Applied Researcher\n \n \n \n Overview: \n \n At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n \n The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. \n \n This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. \n \n In this role, you will: \n \n\n • \n Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. \n\n \n\n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. \n\n \n\n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. \n\n \n\n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. \n\n \n\n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals. \n\n \n The Ideal Candidate: \n \n\n • \n You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. \n\n \n\n • \n Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. \n\n \n\n • \n Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. \n\n \n\n • \n A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. \n\n \n\n • \n Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. \n\n \n\n • \n Has a deep understanding of the foundations of AI methodologies. \n\n \n\n • \n Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. \n\n \n\n • \n An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. \n\n \n\n • \n Experience in delivering libraries, platform level code or solution level code to existing products. \n\n \n\n • \n A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. \n\n \n\n • \n Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. \n\n \n Key Responsibilities: \n \n\n • \n Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. \n\n \n\n • \n Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation \n\n \n\n • \n Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences \n\n \n\n • \n Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data \n\n \n\n • \n Flex your interpersonal skills to translate the complexity of your work into tangible business goals \n\n \n Basic Qualifications: \n \n\n • \n PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research \n\n \n Preferred Qualifications: \n \n\n • \n PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields \n • \n LLM \n • \n PhD focus on NLP or Masters with 10 years of industrial NLP research experience \n • \n Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs \n • \n Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) \n • \n Has worked on an LLM (open source or commercial) that is currently available for use \n • \n Demonstrated ability to guide the technical direction of a large-scale model training team \n • \n Experience with common training optimization frameworks (deep speed, nemo) \n • \n Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Sales Territory: $278,400 - $317,700 for Distinguished Applied Researcher\n \n Cambridge, MA: $306,300 - $349,500 for Distinguished Applied Researcher\n \n McLean, VA: $306,300 - $349,500 for Distinguished Applied Researcher\n \n New York, NY: $334,100 - $381,300 for Distinguished Applied Researcher\n \n San Francisco, CA: $334,100 - $381,300 for Distinguished Applied Researcher\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer - Intelligent Foundations and Experiences (IFX)\n \n \n As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. \n \n What You’ll Do: \n The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: \n\n • \n Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor’s Degree \n • \n At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) \n • \n At least 4 years of experience programming with Python, Scala, or Java \n • \n At least 2 years of experience building, scaling, and optimizing ML systems \n\n \n Preferred Qualifications: \n\n • \n Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field \n • \n 3+ years of experience building production-ready data pipelines that feed ML models \n • \n 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow \n • \n 2+ years of experience developing performant, resilient, and maintainable code \n • \n 2+ years of experience with data gathering and preparation for ML models \n • \n 2+ years of people leader experience \n • \n 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation \n • \n Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform \n • \n Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion \n\n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer\n \n New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, VLM Customization)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n In this role, you will: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications: \n\n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer\n \n McLean, VA: $197,300 - $225,100 for Lead AI Engineer\n \n New York, NY: $215,200 - $245,600 for Lead AI Engineer\n \n San Jose, CA: $215,200 - $245,600 for Lead AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Responsibilities: As a Patient Care Technician (PCT) at US Renal Care, you will be an integral part of a cross-functional team providing care and delegated activities of treatment to patients. The PCT will work under the supervision of a Registered Nurse (RN) or Charge Nurse (CN) for patients with renal failure. Patient care. You will work directly with patients to provide safe, comfortable, and high-quality dialysis treatment. Responsibilities include gathering patient stats before and after treatment, initiating treatment, monitoring patients during treatment, terminating treatment, and collecting patient blood samples per physician orders. Technician Duties. You will ensure quality comes first by preparing machines for hemodialysis treatments, cleaning and disinfecting machines after treatment, and conducting machine safety checks and logging results for quality control, ensuring all protocols and regulations are followed. Safety and Quality. You will use appropriate safety measures, including personal protective equipment. Working under the supervision of a Charge Nurse, you will adhere to all company policies, procedures, and state/federal laws and regulations. You will participate in all required staff meetings and continuing education offerings. Qualifications: • High school graduate or equivalent., • Desire to work in healthcare and care for patients., • Previous healthcare experience in dialysis, phlebotomy, or as a CNA is a plus., • Must be comfortable mixing acids and bicarbonate according to protocol., • Ability to distinguish all primary colors. Other requirements • Successful completion of USRC training program approved by the Medical Director, including demonstrated competency; this includes successful completion of USRC training course in the theory and practice of hemodialysis within 8 weeks of hire., • CPR certification required within 90 days of hire or as required by the state., • Patient Care Technician certification must be obtained through a state certification program or national commercially available certification program within 18 months of hire date and maintained in good standing thereafter. Specific state requirements may be applicable and required. Are you ready to make a difference? We're here to change the lives of people with kidney disease and shape the future of kidney care. We still have much work ahead. If you desire to make a positive impact in the life of others and pursue a fulfilling career in healthcare, we invite you to join our team at U.S. Renal Care! Are you with US? Apply today! Benefit Details All Full-Time employees are eligible for the following benefits: • Medical / Pharmacy, • Dental, • Vision, • Voluntary benefits, • 401k with employer match, • Virtual Care, • Life Insurance, • Voluntary Benefits, • PTO All Part Time employees are eligible for the following benefits: • 401k with employer match, • PTO Pay Range: USD $20.93 - USD $31.39 /Hr. Company (Career Site Brand): U.S. Renal Care

Responsibilities: As a Patient Care Technician (PCT) at US Renal Care, you will be an integral part of a cross-functional team providing care and delegated activities of treatment to patients. The PCT will work under the supervision of a Registered Nurse (RN) or Charge Nurse (CN) for patients with renal failure. Patient care. You will work directly with patients to provide safe, comfortable, and high-quality dialysis treatment. Responsibilities include gathering patient stats before and after treatment, initiating treatment, monitoring patients during treatment, terminating treatment, and collecting patient blood samples per physician orders. Technician Duties. You will ensure quality comes first by preparing machines for hemodialysis treatments, cleaning and disinfecting machines after treatment, and conducting machine safety checks and logging results for quality control, ensuring all protocols and regulations are followed. Safety and Quality. You will use appropriate safety measures, including personal protective equipment. Working under the supervision of a Charge Nurse, you will adhere to all company policies, procedures, and state/federal laws and regulations. You will participate in all required staff meetings and continuing education offerings. Qualifications: • High school graduate or equivalent., • Desire to work in healthcare and care for patients., • Previous healthcare experience in dialysis, phlebotomy, or as a CNA is a plus., • Must be comfortable mixing acids and bicarbonate according to protocol., • Ability to distinguish all primary colors. Other requirements • Successful completion of USRC training program approved by the Medical Director, including demonstrated competency; this includes successful completion of USRC training course in the theory and practice of hemodialysis within 8 weeks of hire., • CPR certification required within 90 days of hire or as required by the state., • Patient Care Technician certification must be obtained through a state certification program or national commercially available certification program within 18 months of hire date and maintained in good standing thereafter. Specific state requirements may be applicable and required. Are you ready to make a difference? We're here to change the lives of people with kidney disease and shape the future of kidney care. We still have much work ahead. If you desire to make a positive impact in the life of others and pursue a fulfilling career in healthcare, we invite you to join our team at U.S. Renal Care! Are you with US? Apply today! Benefit Details All Full-Time employees are eligible for the following benefits: • Medical / Pharmacy, • Dental, • Vision, • Voluntary benefits, • 401k with employer match, • Virtual Care, • Life Insurance, • Voluntary Benefits, • PTO All Part Time employees are eligible for the following benefits: • 401k with employer match, • PTO Pay Range: USD $20.93 - USD $31.39 /Hr. Company (Career Site Brand): U.S. Renal Care

Sr. Lead AI Engineer (AI Foundations)\n \n \n Overview: \n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n \n \n Team Description: \n \n \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n \n \n In this role, you will: \n \n \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n \n The Ideal Candidate: \n \n \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n \n \n Basic Qualifications: \n \n \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, or Java \n\n \n \n Preferred Qualifications: \n \n \n\n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, integrating, delivering, and supporting complex AI systems \n • \n Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n\n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n Plano, TX: $209,000 - $238,500 for Sr. Lead AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)\n \n \n Overview: \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n In this role, you will: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies \n • \n At least 6 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications: \n\n • \n 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, integrating, delivering, and supporting complex AI systems \n • \n Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Posting Title: Vice President, Research Strategy Reports to: Chief Scientific Officer Location: Hybrid in New York, NY WHO WE ARE Fueled by passion and urgency, the National Kidney Foundation is a lifeline for all people affected by kidney disease. As pioneers of scientific research and innovation, NKF focuses on the whole patient through the lens of kidney health. Relentless in our work, we enhance lives through action, education, and accelerating change. WHAT WE BELIEVE IN NKF’s Mission is what we do, our Values are how we do it. • Accountability- Earn and Keep Trust, • Collaboration-Work as a team, • Communication- Empower with information, • Community-Build stronger community, • Compassion- Lead with care and respect, • Impact-Focus on the mission Your Voice Matters: https://www.kidney.org/about/diversity-equity-inclusion WHO YOU ARE The Vice President of Research Strategy is a leadership role responsible for shaping and executing the organization’s enterprise-wide research and insights strategy. This leader will ensure scientific rigor across all research activities, integrate data and analytics into decision-making, and translate evidence into actionable insights that drive programmatic impact, policy influence, and organizational growth. The VP of Research Strategy will report directly to the Chief Scientific Officer and will lead a diverse NKF internal research portfolio, including implementation science, outcomes research, qualitative and quantitative studies, market research, and program evaluation, while also advancing the organization’s extramural research grant program. WHAT YOU’LL DO Research Strategy & Portfolio Leadership • Develop and execute a comprehensive, organization-wide research strategy aligned with NKF’s mission, strategic priorities, and revenue goals, • Oversee and integrate a diverse research portfolio, including:, • Implementation science and health services research, • Market research and stakeholder insights, • Program evaluation and outcomes measurement, • Signature initiatives (e.g., KidneyCARE Study, CKD Prognosis Consortium, CKD-EPI-CT, Transplants for All), • Oversee NKF’s research grant portfolio and related funding programs, including strategic priority setting, application and peer review processes, award management, outcomes tracking, and dissemination of funded research findings, • Elevate NKF’s national profile as a leader in evidence generation, implementation science, and patient-centered research, • Ensure alignment of NKF-funded research initiatives with organizational strategic priorities, emerging scientific opportunities, and areas of unmet need in kidney health Kidney Intelligence & Data Integration • Lead the development of a Kidney Intelligence Hub, integrating data science, research operations, and analytics into a cohesive ecosystem, • Partner with internal teams to leverage data (clinical, programmatic, payer, and external datasets) to generate actionable insights on kidney care, • Establish frameworks for data governance, interoperability, and scalable analytics to support organizational decision-making Cross-Functional Collaboration & Organizational Alignment • Serve as a strategic partner across departments (Scientific Operations, Population Health, Marketing, Development, Policy, and Programs), • Embed research and insights into program design, education, advocacy, and partnership strategies, • Support service departments in aligning insights and evaluation with fundraising and programmatic goals External Partnerships & Fundraising • Collaborate with internal and external stakeholders to raise funds and expand research opportunities and strengthen NKF’s role as a convener and catalyst for innovative kidney research, • Build and lead strategic partnerships with academic institutions, health systems, payers, industry, and government agencies, • Identify and secure funding opportunities (grants, contracts, sponsored research, major gifts) to support research initiatives, • Represent NKF as a trusted partner and leader in kidney-related research and data-driven innovation Team Leadership, Research Operations, and Role Details • The VP Research Strategy role is based at NKF Headquarters in New York, NY and requires employees to be on-site two to three days per week. Fully remote is not an option for this role, • Candidates must currently reside in the New York Metropolitan area or being wiling to relocate, • NKF will provide a relocation package for the right candidate. Only applicants who meet this location requirement will be considered, as remote candidates are not eligible., • Build, lead, and mentor a high-performing research team, including the Senior Director, Data Analytics and the Senior Director, Patient Outcomes Research, • Oversee research operations, including study design, IRB processes, data management, and compliance, • Ensure adherence to the highest standards of scientific integrity, ethics, and regulatory requirements, • This position requires travel 6-8 times per year WHAT YOU’LL POSSESS • PhD, DrPH, ScD, or equivalent advanced degree in public health, health services research, implementation science, outcomes research, or a related field, • 10+ years of progressive leadership experience in research, analytics, or insights roles, preferably within healthcare, nonprofit, academic, or policy environments, • Deep expertise in implementation science, health services research, outcomes research, or real-world evidence generation, • Demonstrated success leading complex, cross-functional research initiatives and translating insights into strategy and impact, • Experience building and managing external partnerships and securing research funding, • Experience overseeing research funding mechanisms, grant review processes, or scientific advisory committees preferred, • Strong track record of publications, thought leadership, and/or national recognition in relevant fields, • Exceptional leadership, communication, and strategic thinking skills WHAT WE OFFER • NKF Colorado and New Mexico offers a flexible hybrid work environment, • Work/life Integration: Enjoy plenty of vacation time, sick leave, and holidays so you can recharge, regroup or reflect—and come back ready to tackle anything, • Support for Your Health: We've got your back with top-notch medical, dental, and vision insurance plans for you and your loved ones, • Peace of Mind: Rest easy knowing you're covered with life insurance and a 403(b) plan with matching company contributions to secure your future, • Creative savings: Take advantage of flexible spending accounts to save on eligible healthcare and dependent care expenses, • Easy Commuting: Reduce your stress with our commuter benefits program for transit and parking expenses, • Support When You Need It: Access confidential counseling, support services, and resources through our Employee Assistance Program, • A Chance to Spread the Word: Share the love and earn rewards by referring awesome folks to join our team, • A Big Tent: We're all about creating a diverse and inclusive workplace where everyone feels valued, respected, and heard, • Mission-Fueled Culture: Join a team that's passionate about making a difference and guided by values like integrity, compassion, and innovation EQUAL EMPLOYMENT OPPORTUNITY At the National Kidney Foundation, diversity, inclusion, and equal opportunity apply to both our workforce and the communities we serve as they relate to kidney health and kidney disease prevention. It is the policy of NKF to provide equality of employment opportunity regardless of race, creed, color, qualified handicap or disability, national origin, religion, marital status, sexual orientation, age, gender, political affiliation or veteran status, or any other factor or reason prohibited by relevant local, state, and federal fair employment laws. The Equal Employment Opportunity policy will apply to all employment practices of NKF, including, but not limited to, recruitment, hiring, promotion, training, compensation, benefits, layoffs, transfers, and discipline. Implementation of the Equal Employment Opportunity policy is the shared responsibility of the management of NKF. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The National Kidney Foundation does not accept resumes from third-party recruitment/search firms. Please do not forward resumes to NKF employees, company locations, or email addresses. NKF is not responsible for any fees related to resumes not solicited by NKF Recruiting. WORKING CONDITIONS, EQUIPMENT USED AND SPECIAL INFORMATION Must have unimpeachable integrity and trustworthiness while possessing a high degree of tact, discretion and professionalism. Maintain effectiveness under pressure. Competent in the use of standard office equipment, including telephone, personal computer, fax machine, and photocopier. Flexible for moderate overnight business travel which may include weekends. DISCLAIMER The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not intended to be considered an exhaustive list of all responsibilities, duties and skills required. The salary band listed reflects the range for this position. Actual compensation will be determined based on the selected candidate’s experience, qualifications, and other relevant factors.

Job Description At Portage Point Partners (Portage Point), you are not a cog in a legacy machine, you are shaping strategy, influencing outcomes and being rewarded for driving impact. Backed by New Mountain Capital, Portage Point is recognized for accelerated growth and is consistently featured in rankings from Inc.5000, The Financial Times and Consulting Magazine. This recognition is a testament to our focus on excellence, intensity and pace and ability to attract blue chip talent committed to delivering best-in-class outcomes. Our cross-functional platform spans the full business lifecycle and offers middle market clients integrated solutions across Transaction Advisory Services (TAS), Valuations (VAL), Transaction Execution Services (TES), Office of the CFO (OCFO), Performance Improvement (PI), Interim Management (IM), Investment Banking (IB) and Turnaround & Restructuring Services (TRS). The Delivery Enablement (DE) team powers Portage Point’s growth as a scalable, high-quality operational backbone. Including Marketing, Commercial Strategy, Talent Acquisition, Human Resources, Delivery Excellence, Accounting & Finance and Data Analytics, the DE team drives excellence, efficiency and automation across every practice line. The Vice President, Event Management role at Portage Point represents a unique opportunity to assume a wide range of responsibilities and make a significant impact. The Vice President, Event Management will lead the design and execution of high-impact firm events that strengthen our culture, deepen client relationships and elevate the Portage Point brand. This individual will serve as the strategic architect behind our most important internal and external experiences, from executive offsites and client experiences to firmwide celebrations and milestone gatherings. Reporting to the Head of Marketing and partnering closely with the Chief Operating Officer (COO) and Chief Revenue Officer (CRO) the Vice President, Event Management will shape and execute an event strategy that supports business development, brand growth and internal relationship building. The ideal candidate brings a strong mix of strategic vision and operational precision. This is a highly visible role that requires collaboration with senior executives, cross-functional teams and external partners to ensure every event is executed flawlessly. As the firm continues to grow, the scope and complexity of events will expand, providing significant opportunity for professional advancement and impact. Responsibilities • Develop and execute a comprehensive annual events calendar encompassing both internal and external firm events that aligns with business development, marketing and employee engagement objectives, • Partner with the Head of Marketing and CRO to design and deliver client events that strengthen relationships and elevate the Portage Point brand, • Lead end-to-end planning and execution for internal events such as the Annual Team Meeting, Managing Director Offsite, End-of-Year Team Meeting and Holiday Party, • Manage all aspects of event logistics, including venue selection / sourcing / management, vendor selection, contract negotiation, budgeting and onsite execution, • Ensure every internal and external event reflects Portage Point’s brand voice, values and visual standards, • Track and manage event budgets, ensuring cost efficiency and accurate forecasting, • Conduct post-event evaluations, analyzing performance metrics, feedback and return on investment (ROI) to identify improvements, • Collaborate with team members, as needed, for day-of execution and logistical coordination, ensuring seamless communication and continuity, • Create and maintain event standard operating procedures (SOPs), approval workflows and communication protocols, • Maintain awareness of industry best practices and trends in event strategy, hospitality and client engagement, • Support the Marketing team with other strategic initiatives as needed, • Contribute to a high-performing, inclusive and values-driven cultureQualifications, • Bachelor’s degree from a top undergraduate program, • Located in or willing to relocate to Chicago, Dallas, Los Angeles or New York, • Invested in a team-based culture, motivated to collaborate in office four days per week and willingness to travel, approximately 20% to 25%, to execute events in multiple markets, • Six plus years of experience and at least four years in investment banking, professional services or private equity, • Proven success developing event strategies that align with business development, client engagement, brand and internal engagement objectives, • Demonstrated ability to work with executive leadership and cross-functional teams to drive consensus, decision-making and flawless event execution, • Exceptional organizational skills with the ability to manage multiple complex projects, priorities and deadlines simultaneously, • Experience building and managing six-figure event budgets, negotiating vendor contracts and ensuring ROI-driven spend, • Understanding of client relationship dynamics and comfort hosting high-profile executives, • Strong aesthetic judgment and ability to translate brand identity into experiential design, • Familiarity with event management and marketing platforms (e.g. Cvent) and comfort using data and analytics to evaluate success, • Calm under pressure with a proactive, solutions-oriented mindset and willing to pivot quickly as priorities shift, • Superior written and verbal communication skills, including executive-ready presentation and reporting skills, • Proven ability to thrive in lean, fast-moving teams, • High attention to detail, responsiveness and ownership mindset, • In accordance with pay transparency laws in the City of New York and the State of California, Portage Point provides a good-faith cash compensation range for this position. This range represents the cash compensation (base plus bonus) that the firm reasonably expects to pay upon hire, based on good-faith and reasonable estimate at the time of posting. The final compensation within this range will depend on the candidate’s qualifications, education, training, experience and location. In addition to cash compensation, Portage Point may offer comprehensive benefits and equity participation, which are not reflected in the pay range above. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description At Portage Point Partners (Portage Point), you are not a cog in a legacy machine, you are shaping strategy, influencing outcomes and being rewarded for driving impact. Backed by New Mountain Capital, Portage Point is recognized for accelerated growth and is consistently featured in rankings from Inc.5000, The Financial Times and Consulting Magazine. This recognition is a testament to our focus on excellence, intensity and pace and ability to attract blue chip talent committed to delivering best-in-class outcomes. Our cross-functional platform spans the full business lifecycle and offers middle market clients integrated solutions across Transaction Advisory Services (TAS), Valuations (VAL), Transaction Execution Services (TES), Office of the CFO (OCFO), Performance Improvement (PI), Interim Management (IM), Investment Banking (IB) and Turnaround & Restructuring Services (TRS). The Cross-Functional (XFn) team is a game-changer in the professional services industry. Possessing industry agnostic expertise and services, the XFn team supports clients throughout every stage of the business and investment lifecycle, giving team members unparalleled access to key stakeholders and unfettered opportunities for professional growth. The XFn Vice President at Portage Point represents a unique opportunity to assume a wide range of responsibilities and make a significant impact. This Vice President is a proven leader in client delivery management, essential to shaping and executing high-impact strategy, financial, and operational engagements across our practice lines. The XFn Vice President will report directly to senior leadership and be responsible for guiding complex engagements, mentoring teams, and ensuring best-in-class deliverables. You will lead key initiatives, manage discrete workstreams, and work closely with senior executives, clients, and stakeholders in a fast-paced, collaborative environment. If you thrive in a high-performance culture and want to help build the future of a rapidly growing consultancy, this is the right role for you. Responsibilities • Develop and implement comprehensive solutions to complex financial and operational challenges across the business lifecycle — including value creation, transformation, performance improvement, and bankruptcy execution, • Build trusted relationships with C-level executives and stakeholders, supporting critical engagements through analysis, strategic guidance, and clear communication, • Manage execution of deliverable workflows alongside Portage Point teams, overseeing liquidity management, case administration, reporting packages and restructuring plan development, • Identify high-impact opportunities through assessment of organizational effectiveness and reallocate resources to initiatives with the highest risk-adjusted return, • Create streamlined processes, dynamic KPI reporting tools, and board-ready presentations while leading key meetings and constituent communications, • Provide coaching and mentorship to junior team members, • Support internal trainings and best practice sharing, • Support business development and client relationship efforts, • Support talent acquisition and firm-building initiatives, • Contribute to a high-performing, inclusive and values-driven culture Qualifications, • Bachelor’s degree from a top undergraduate program, • Located or willing to relocate to Chicago, Dallas, Los Angeles or New York, • Invested in a team-based culture, motivated to collaborate in office four days per week and willing to work at client sites as needed, • Five plus years of professional experience, including a minimum of two years in investment banking, consulting, private equity, or restructuring at a top-tier firm, • Proven ability to build trust across stakeholder levels — from senior executives to frontline operators — and consistently deliver strategic, high-impact outcomes, • Advanced financial modeling capabilities, including three-statement forecasts, thirteen-week cash flows, dynamic KPI reporting, and complex ad hoc analyses — or a demonstrated capacity to ramp quickly, • Direct leadership of client and internal teams across PI, TRS, IB, and OCFO workstreams, driving analysis, synthesizing findings, and communicating actionable insights, • Strong interpersonal maturity with an ability to navigate dynamic environments and represent Portage Point with credibility, professionalism, and client-first execution, • Superior written and verbal communication skills, including executive-ready presentation and reporting skills, • Proven ability to thrive in lean, fast-moving teams, • High attention to detail, responsiveness and ownership mindset, • Track record of success in high-pressure, client-facing environments In accordance with pay transparency laws in the City of New York and the State of California, Portage Point provides a good-faith cash compensation range for this position. This range represents the cash compensation (base plus bonus) that the firm reasonably expects to pay upon hire, based on good-faith and reasonable estimate at the time of posting. The final compensation within this range will depend on the candidate’s qualifications, education, training, experience and location. In addition to cash compensation, Portage Point may offer comprehensive benefits and equity participation, which are not reflected in the pay range above. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About Antler Antler is where founders come to go further, faster. Antler is the world’s most active early-stage investor, backing exceptional people at the very start of their journey — and supporting them from inception to scale. Across 27 cities worldwide—including New York, San Francisco, London, Berlin, Bangalore, Singapore, Seoul, and Sydney—the firm helps founders remove the barriers to building by connecting them with world-class peers, validating business models, and providing initial capital. For founders who go on to build breakout companies, Antler Elevate—the firm’s flagship, emerging growth fund—invests beyond the early stages. To date, Antler has backed more than 1,900 startups globally across a wide range of industries and technologies with the goal of backing more than 6,400 by 2030. Antler runs a highly structured and thorough due diligence process to assess early-stage opportunities at scale. Through Antler’s structured investment approach, Antler gains a deep understanding of their strengths, scale of ambition, grit, and passion. A global network of advisors and domain experts helps further validate their business models, giving unique insights into founders’ potential. Antler is backed by institutional investors, including asset managers, life insurance companies, sovereign wealth funds, wealth managers, alongside unicorn founders and family offices. The board is co-chaired by Sheila Patel, former Chairman of Goldman Sachs Asset Management, and Tore Myrholt, former EMEA Chair of McKinsey, and the advisory board includes James Anderson, Chairman of Kinnevik and former co-manager of the Scottish Mortgage Investment Trust at Baillie Gifford; Peter Harrison, former CEO of Schroders; Ken Hitchner, former Chairman and CEO of Goldman Sachs APAC; Nancy Zimmerman, Co-founder and Managing Partner of Bracebridge Capital; David Fischer, former Chief Revenue Officer at Facebook; Todd Ruppert, former CEO of T. Rowe Price Intl and former Y Combinator Partner and serial entrepreneur Aaron Harris. North America is a critical growth market for Antler, both as a source of world-class founders and as a key LP fundraising geography. The firm is now investing meaningfully in its North American capital formation capabilities to match the scale of its global ambition. The Role This is a foundational hire and pivotal moment for Antler in North America. We are looking for a Head of Capital Formation to own and scale fundraising across the region - leading institutional capital raising while helping shape the next phase of Antler’s platform. This is not a stewardship role; it is a build role. You will lead fundraising across institutional LPs, family offices, and strategic investors, driving commitments into Antler’s global fund platform. At its core, this is a senior sales leadership position - combining relationship depth, execution intensity, and meaningful strategic ownership. You will be Antler’s most senior capital markets leader in North America, partnering directly with our global Managing Partners to set and execute regional fundraising strategy, open new investor channels, and convert momentum into closed capital. This role will suit someone coming from a senior capital formation or distribution background within asset management who is excited to trade infrastructure for impact. You won’t inherit a large team, a polished machine, or layers of support - you will help build them. Expect to be deeply in the work: originating, pitching, travelling lean, and closing. You will build and lead a small, high-performing capital team, setting the tone for a culture defined by ownership, rigour, performance and accountability. The right candidate brings: • an established North American institutional LP network, • a track record of closing complex fund commitments, • and the entrepreneurial mindset to operate at senior level without corporate scaffolding Key Responsibilities 1. Capital Raising & Origination (Core Sales Function) • Lead and deliver against North America fundraising targets across Antler's fund suite, including flagship regional and global vehicles, thematic strategies, and co-investment opportunities., • Manage the full fundraising cycle from prospecting and origination through qualification, pitching, due diligence management, and close., • Build and maintain a high-quality, well-segmented pipeline of institutional investors, endowments, foundations, pension funds, family offices, sovereign wealth funds, and strategic corporates suited to Antler's fund products., • Lead term negotiation and closing processes, including side letters, subscription documentation, and partnership structuring where required., • Establish and convert strategic LP partnerships that expand Antler's footprint and distribution capabilities in the region., • Provide a clear, data-driven view of the NA fundraising pipeline, reporting regularly to global Capital Team leadership on progress, risks, and opportunities. 1. Investor Relations & External Representation • Serve as the primary relationship owner for North American LPs across the full investor lifecycle — from prospecting through ongoing stewardship., • Maintain consistent, high-quality engagement, ensuring Antler remains top-of-mind and investors are well-informed on fund performance, portfolio developments, and strategic direction., • Represent Antler externally at investor meetings, industry forums, conferences, panels, and other targeted events, acting as a credible and authoritative voice on early-stage venture, emerging managers, and private markets., • Expand Antler’s reach by building and leveraging a network of advisors, gatekeepers, consultants, and other capital market intermediaries., • Act as a brand ambassador for Antler’s mission, investment thesis, and portfolio — translating complex strategies into clear, differentiated narratives that engage prospective LPs. 1. Team Leadership & Management • Build, lead and develop a team of 3+ Capital professionals in North America, setting clear targets, priorities, and performance standards., • Foster a high-performance, collaborative team culture aligned with Antler's global values and the professionalism expected of a world-class capital markets function., • Actively coach and mentor team members, supporting career development and technical skill-building in fundraising, LP relations, and deal structuring., • Allocate coverage responsibilities and manage team workflow to ensure the LP pipeline is efficiently worked, and no relationship falls through the cracks., • Work collaboratively with global Capital Team colleagues to share intelligence, align on messaging, and contribute to a One-Antler approach to fundraising., • Balance strategic oversight with active participation in day-to-day fundraising execution. 1. Product Strategy & Market Insight • Partner with global Managing Partners and the Capital Team to influence design and positioning of fund products that resonate with North American LPs and enable Antler to continue to scale., • Translate LP feedback into actionable input for fund design, structuring, and commercial strategy., • Support the development of compelling pitch materials, fund documentation, data rooms, and LP due diligence responses in collaboration with the IR, Legal, and Finance teams., • Identify opportunities for new partnerships, structures, or distribution channels that support Antler’s broader commercial strategy and long-term growth. 1. Investor Relations Platform & Infrastructure • Influence Antler’s capital formation infrastructure, including the adoption of pipeline management and CRM tools, and reporting discipline., • Introduce best practices from institutional asset management environments while adapting them to a fast-growing global platform., • Partner cross-functionally to strengthen systems, processes, and operational scalability as fundraising activity expands. Candidate Profile Background & Experience We expect candidates to come from a senior capital formation, distribution, or fundraising leadership role within institutional asset management, private markets, or alternatives investing. Your background will include: • Significant experience raising institutional capital across North America, ideally spanning venture capital, private equity, growth equity, or a global multi-asset platform., • A demonstrated history of originating and closing fund commitments directly with institutional LPs and sophisticated family offices., • Deep, active relationships across the North American allocator ecosystem, including pensions, endowments, foundations, consultants, fund-of-funds, family offices, and strategic investors., • Experience leading or building capital formation teams and operating as a senior representative of your firm in the market., • Familiarity with venture or early-stage investing structures is helpful. Experience in closed-end blind pool vehicles, co-investment structures, and evergreen or open-ended products, is also a strong advantage. Skills & Capabilities - What you’ll bring This role requires strong commercial and execution capability. You will demonstrate: • Credibility and presence with sophisticated institutional investors, combined with a highly commercial mindset., • Strong commercial instinct and fundraising judgement — able to listen to LP needs, adapt product narratives, and manage objections with nuance and conviction., • Fluency with fund performance analysis, portfolio construction discussions, and institutional due diligence expectations., • A leadership style that develops strong teams while maintaining personal accountability for outcomes., • Able to operate autonomously in a busy, high-velocity environment — you’ll be organised and able to personally manage relationships, processes, and priorities from first meeting through close. Operating Style & Personal Attributes Antler combines institutional capital formation with a builder mindset. The individuals who succeed here have: • An entrepreneurial mindset — comfortable operating in a fast-growing, globally distributed organisation where priorities evolve and opportunities emerge quickly., • Strong personal ownership — self-directed, proactive, and accountable for outcomes, with the ability to move work forward without extensive structure or oversight., • A collaborative instinct — sharing market intelligence openly, working across regions, and contributing to a genuinely global capital formation effort rather than operating in silos., • Intellectual curiosity about venture and innovation — genuine interest in early-stage investing, founders, and emerging technology ecosystems., • Pragmatism and adaptability — equally comfortable representing Antler in a CIO meeting or rolling up sleeves to progress a process internally. Location: Based in, or willing to relocate to, a major North American financial centre (New York or San Fran preferred), with flexibility for frequent regional and international travel. Why Antler Antler offers a rare combination: the reach and operational infrastructure of a global firm with the culture and energy of a founder-led business. This role represents a genuine opportunity to shape the North American capital formation function at a pivotal moment in the firm's growth trajectory. What makes Antler compelling: • A genuine platform-building opportunity. You will shape Antler’s North American capital formation effort from an early stage, with direct influence on strategy, product positioning, and investor outcomes., • Institutional ambition with entrepreneurial pace. Antler combines global scale and sophisticated LP access with a lean operating model that rewards ownership, speed, and initiative., • A differentiated investment story. Antler backs exceptional founders at inception, creating exposure to the earliest point in the company lifecycle and offering LPs access to a distinctive, globally scaled venture platform., • Breadth of opportunity in a global team. Multiple fund vehicles and geographies create depth in the conversation with investors and a platform that can evolve with market demand., • High autonomy, high visibility. You will work closely with global leadership and have meaningful influence over how Antler presents itself to the market and raises capital in North America., • A mission with substance. Every commitment raised helps back the next generation of companies, founders, and technologies — with tangible impact beyond financial returns. Powered by JazzHR 7pjSykNh7z

Sr Director, AI Engineering\n \n \n Overview: \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n In this role, you will: \n \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. \n\n \n\n • \n Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n\n \n\n • \n Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n\n \n\n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n\n \n\n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n\n • \n Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. \n\n \n The Ideal Candidate: \n \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. \n\n \n\n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n\n \n\n • \n You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. \n\n \n\n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. \n\n \n\n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n\n \n\n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n Basic Qualifications: \n \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies \n • \n At least 5 years of people leadership experience \n\n \n Preferred Qualifications: \n\n • \n 7 years of experience managing and leading an engineering team \n • \n 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n\n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Sales Territory: $286,200 - $326,700 for Sr. Director, AI Engineering\n \n Cambridge, MA: $314,800 - $359,300 for Sr. Director, AI Engineering\n \n McLean, VA: $314,800 - $359,300 for Sr. Director, AI Engineering\n \n New York, NY: $343,400 - $392,000 for Sr. Director, AI Engineering\n \n Richmond, VA: $286,200 - $326,700 for Sr. Director, AI Engineering\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Director, AI Engineering\n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Embark on a transformative journey at the forefront of innovation as a Generative AI Strategist. Are you ready to shape the future of business by unleashing the power of generative AI and machine learning? Join us in driving strategic alignment, fostering collaborative engagement, and leading sales initiatives to deliver tangible business value through cutting-edge generative AI solutions. If you possess a passion for innovation and a drive to revolutionize businesses through generative AI, we welcome you to be part of our dynamic team. Seize this opportunity to drive impactful change and lead businesses into a new era of technological advancement as a Generative AI Strategist. Key Responsibilities: Strategic Alignment: • Facilitate alignment between the customer's technologists and business leaders to unleash the potential of generative AI and machine learning for driving business value., • Develop comprehensive roadmaps to ensure the effective implementation of generative AI solutions. Business Conceptualization: • Engage in discussions about intricate industry-specific concepts with executives, line managers, and technologists to identify key opportunities for leveraging generative AI. Collaborative Engagement: • Work closely with various teams within the customer's organization, including applied scientists, solutions architects, business development, marketing, and industry specialists to foster collaboration and innovation., • Build strong partnerships with regional organizations and external partners to amplify the impact of generative AI solutions. Sales Leadership: • Lead the strategic direction of large, complex sales opportunities from inception to successful closure and delivery., • Drive vision building exercises and scoping sessions to ensure alignment with customer needs and expectations. Workshop Facilitation: • Conduct interactive workshop sessions with customers to identify potential areas for deploying generative AI and machine learning solutions., • Collaborate with customers to define the scope of projects and articulate how generative AI can drive tangible business outcomes. Qualifications: • Proven experience in strategizing and implementing generative AI solutions in a business context., • Strong communication skills to engage with stakeholders at all levels and effectively convey complex concepts., • Expertise in collaborating with cross-functional teams and external partners to drive innovation and business growth., • Demonstrated ability to lead sales processes for complex technological solutions., • Proficiency in conducting workshops and facilitating productive discussions to drive actionable outcomes. If you are passionate about leveraging generative AI to transform businesses and drive innovation, we invite you to join our dynamic team as a Generative AI Strategist.

Job DescriptionJob Description Role Title: Java Open Source Contributor Role Type: Contract Location: Remote Scope of Work: • Contribute production-quality code, reviews, and documentation to open-source repositories relevant to the customer's project., • Design, implement, and optimize complex algorithms and system components using one or more of the following languages: C++, Python, JAVA, GoLang, Typescript, or Rust., • Identify and resolve technical challenges, bugs, and performance bottlenecks in existing codebases., • Collaborate with other contributors and stakeholders to align deliverables with project goals and best practices., • Create, maintain, and enhance technical documentation to support knowledge sharing and onboarding., • Participate in code discussions and provide constructive feedback to elevate overall code quality. Preferred Qualifications: • Previous experience working on large-scale, distributed codebases., • Familiarity with modern AI or machine learning systems is a plus, though not required., • Background in participating in rigorous code reviews and contributing to the development of software best practices.

Job Description About the Job The Physical Therapist is responsible for the evaluation, planning, directing and administering physical therapy modalities of treatment as prescribed by a licensed physician. Coordinates delegates and supervises responsibilities assigned to supportive staff. Maintains performance activities within the department and participates in CQI activities. What you'll bring • Master’s Degree or higher in Physical Therapy from a New York State Registered or Commission on Accreditation in Physical Therapy Education (CAPTE) / American Physical Therapy Association (APTA) Accredited Physical Therapy Program, • Three (3) or more years of experience in all aspects of physical therapy., • Current New York State Licensed Physical Therapist, • Current Basic Cardiac Life Support (B.C.L.S.), • Knowledge of physical medicine, physical therapy modalities, anatomy and physiology, • Knowledge of physical therapy machine operation, maintenance and repairs of same., • Basic computer knowledge, • Ability to communicate effectively in English, both verbally and in writing., • Strong written and verbal skills.Company DescriptionThe Brooklyn Hospital Center provides access to quality health care. TBHC is committed to service excellence and superior patient experience.The Brooklyn Hospital Center provides access to quality health care. TBHC is committed to service excellence and superior patient experience.

Job Description DUTIES AND RESPONSIBILITIES: • Cleans rugs, carpets and upholstered furniture using a vacuum cleaner, broom and carpet shampoo machine., • Cleans rooms, hallways and restrooms., • Washes walls and ceiling, moves furniture and turn mattress., • Sweeps, mops, scrubs, waxes. vacuums and polishes floor., • Dusts and polishes metalwork., • Collects soiled linen for laundering from housekeeping carts., • Assists in keeping the lobby area clean, neat and free of debris and trash as needed., • Receives linen supplies from laundry and stocks linen closets on guest floors in a neat, organized manner., • Maintains housekeeping carts and stocks supplies., • Strips soiled linen from beds when asked to help housekeepers., • Removes trash collected by room attendants., • Walks all assigned floors at beginning, throughout the day and end of shift to collect trash, soiled linen and other items as assigned by management., • Transports clean linen to the housekeeping storage rooms on the floors and refills the par stock of linen on each floor, • Refills the par stock of guest amenities and supplies on each housekeeping storage area., • Helps the room attendants with heavy lifting and special cleaning projects as directed., • Cleans all public areas in the prescribed manner while following department standard operating procedures., • Removes soiled linen and trash from the pool side and other service areas and takes to appropriate locations in the prescribed manner., • Assists housekeeping with placing bed boards, roll-ways beds, extra bed etc. in appropriate fashion per standard operating procedures., • Reports missing / found articles, damage or merchandise problems to the housekeeping supervisor and managers., • Responds at all times in a friendly, helpful manner to guests and other colleagues., • Handles any tasks assigned by the supervisors as and when needed. The above description reflects on the general details considered to describe the principal functions of the job. This is not a detailed description of all the work requirements that may be inherent in the job. Management reserves the right to alter the above requirements at any time. PREREQUISITES: Education: Elementary school diploma is preferred, Physical mobility and stamina required, must be able to follow instructions, possess detail orientation skills and demonstrate a professional attitude. The candidate must have the ability to work independently and under little supervision. Experience: Previous hotel-related experience desired. Physical: Requires standing for long periods of time and on occasion may be asked to lift and carry up to 50 pounds. While performing the duties of this job, it may be also required to stoop, kneel, crouch, or crawl.

Senior AI Engineer\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. \n \n What You’ll Do: \n\n • \n Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One \n\n \n The Ideal Candidate: \n\n • \n You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production \n • \n You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss \n • \n You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies \n • \n At least 3 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications: \n\n • \n 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n\n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n McLean, VA: $161,800 - $184,600 for Senior AI Engineer\n \n New York, NY: $176,500 - $201,400 for Senior AI Engineer\n \n San Jose, CA: $176,500 - $201,400 for Senior AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are looking for a Senior Manager / Associate Director to lead delivery workstreams within a large-scale enterprise Data Governance, Architecture & Controls Program. Responsibilities: • Lead pods focused on data lineage documentation (consumption through ADS to system of origin), target-state ADS landscape and architecture design, and aggregation layer controls including DQ rules, variance analysis, and anomaly detection., • Shape the data modeling and architecture decisions that underpin the target-state ADS landscape, working with enterprise architecture to evolve domain and subdomain taxonomy., • Conduct SME interviews across engineering and business data offices, translate enterprise data management policy into actionable delivery and build plans, and manage a small team of analysts through design and implementation., • Operate as the bridge between engineering, enterprise architecture, and data office stakeholders, and present findings and recommendations directly to senior client leadership., • Define and standardize repeatable playbooks, templates, and execution frameworks for data lineage harvesting and Authoritative Data Source (ADS) onboarding to ensure consistency across multiple pods., • Collaborate with Enterprise Architecture and Tooling teams to evaluate, select, and drive the adoption of data governance and lineage platforms., • Establish, monitor, and report on key performance indicators (KPIs) and operational metrics reflecting the progress of lineage coverage, ADS compliance, and data quality improvement to senior stakeholders. Requirements • 8+ years in Data Management, Data Governance, or Data Architecture, ideally in financial services., • Strong grounding in data modeling and data architecture — conceptual/logical modeling, domain-driven design, and Analytical Data Store (ADS) patterns., • Hands-on experience with data lineage (fine- and coarse-grained), data quality frameworks, and the design and implementation of data controls., • Ability to interpret and operationalize enterprise data management policy., • Familiarity with cloud data platforms (GCP preferred) sufficient to plan, scope, and oversee build and deployment work., • Strong executive presence — comfortable leading SME interviews and presenting to VP+ stakeholders., • Proven ability to work across engineering, architecture, and business teams as a connector and translator. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Join us as the Director of Engineering at the highly anticipated Rhyland Hotel, set to open this summer in vibrant Flushing, NY. This is a unique opportunity to lead our engineering and maintenance team from pre-opening through the exciting journey of establishing operational excellence. You'll play a critical role in ensuring our state-of-the-art facilities run seamlessly, creating a safe, welcoming, and exceptional environment for our guests and associates alike. If you're an experienced hospitality engineering leader who thrives on building systems, developing teams, and delivering outstanding guest experiences, we want you at the heart of our Rhyland Hotel team! Why Join The Rhyland Hotel? Prime Location: Situated in Flushing, a bustling hub of culture, dining, and commerce, with easy access to Manhattan and the surrounding boroughs. Exciting Opportunity: Be part of the launch of a brand-new hotel, offering a fresh and modern experience to guests. Growth Potential: Play a key role in our sales operations, with opportunities for career development in the hospitality industry. Essential Functions: • Independently manages maintenance personnel to include but not limited to the responsibility of hiring, training, administering performance reviews, determining wages, coaching and discipline, termination, and weekly scheduling., • Responsible for the proper operation and functionality of all electrical, mechanical, plumbing, HVAC, laundry, kitchen, refrigeration, lighting systems, and all specialized equipment and systems., • Performs and delegates property and grounds upkeep tasks, including painting, tile work, trim work, detailing, light adjustments, installations, cable/internet assistance, furniture repair, grout work, recycling and waste management, grounds keeping, etc., • Responsible for the pool maintenance, cleanliness, proper water chemistry and compliance with local department of health., • Ensure compliance with city, state and /or federal code., • Review work orders and complete work by room/guest priorities., • Ensure guestrooms, restaurant, and public areas are maintained to company standard., • Maintain continuous communication with Front Office during all shifts to ensure all complaints are addressed., • Primary liaison with 3rd party trades performing work as required., • Assume full responsibility for the condition of the property in the heart of the house (the infrastructure) as well as all the public areas., • Play a lead role in Energy conservation., • Cost effective management of equipment purchases or leasing, service contracts, repair and maintenance agreements, or sourcing local 3rd party tradesmen., • Management and achievement of budgeted capital and repair and maintenance operating costs., • Develop & maintain preventive maintenance programs for all guestrooms and equipment., • Responsible for continuous update of safety manual and all training for entire company including OSHA regulations, DOT testing, and Right to Know Law, and NFPA training., • Chair of Safety Committee., • Maintain an accurate inventory of supplies., • Ensure the Engineering shop and office are clean and organized., • Maintain department checkbook and code invoices for payment accordingly., • Oversee all engineers and maintenance personnel, including participating in the recruitment, onboarding, orientation, training, assessing/completing reviews, disciplining, and terminating of employees., • Address loss prevention management and security., • Have a thorough understanding of fire alarm procedures, emergency evacuation procedures and all safety related issues. Key liaison with town Fire Department authorities to work with GM to plan and perform regular quarterly evacuation drills., • Maintain all required permits and licenses for facility., • Dependent upon the weather, maintain safe walking areas for all guests and associates (activity required may include shoveling snow, raking leaves, addressing debris. Must play the primary role in Snow Removal in winter (including supervising outside contractor duties)., • Leadership role in curb appeal, landscaping, and grounds maintenance., • Ability to adhere to all HR Personnel standards and maintain a professional work environment with all Inn associates., • On call for any emergencies 24/7, • Address each and every guest using the S.E.A.C. method, with a smile, eye contact, acknowledge their presence in a timely manner with appropriate greeting, and kindly close., • Attend all scheduled meetings and training sessions., • Understand and practice all HCH safety and security procedures, including Emergency Evacuation Procedures, Accident Reporting, Right to Know Law, Written Information Security Program, Bloodborne Pathogen Procedures, Anti-Harassment Policy, and Violence in the Workplace Policy., • Comply with all Hotel and HCH time and attendance policies., • Comply with all Hotel and HCH uniform, dress code, and appearance standards. Hotel Specific Essential Functions: • Ability to remain standing for 10 hours., • Ability to remain in a stationary position for 10 hours., • Ability to frequently move and lift up to 80 lbs., • Ability to walk the property and grounds frequently, multiple times per shift., • Ability to move up and down stairs frequently., • Ability to bend frequently and repetitively during a shift., • Ability to use repetitive manual dexterity., • Able to kneel, crawl, crouch, and stretch into hard-to-reach places., • Ability to move quickly based on guest needs., • Ability to frequently communicate and exchange accurate information effectively., • Ability to read, write, understand and speak English., • Ability to operate a motor vehicle with valid operator's license. Technology and Equipment: • Microsoft Office, including Outlook, Word, and Excel programs., • Property Management System, • CB Radio, • Power Tools and handheld tools, • Blueprints, schematics, and other technical materials, • Computer and Printer, • Electronic/Mechanical gauges (thermometers, pressure gauges, etc.), • All room equipment, including vacuum cleaner, wallpaper steamer, carpet shampooer, etc., • All F&B equipment, including deep fryer, broiler, stove, steamer, food processor, slicer, flat top grill, mixer, oven, steam table, etc., • Sanding equipment, • Ladders, scaffolding, and support systems, machine operated lifts, • Snow removal tools and chemicals, • Time Keeping System

Join a leading organization dedicated to providing essential services and driving innovation within a critical industry. As a partner with Aquent, we are seeking visionary talent to help shape the future of our data-driven initiatives. Are you a highly skilled and innovative professional ready to make a significant impact? This pivotal role offers the opportunity to design, build, and optimize cutting-edge analytical solutions that will directly influence strategic business decisions and enhance operational efficiency. You will be at the forefront of leveraging large datasets to develop predictive and prescriptive models, establish robust data infrastructure, and empower business teams with actionable insights. Your expertise will be crucial in transforming complex data into tangible value, driving forward our mission with advanced technology and strategic vision, contributing directly to the success of our data-driven future. Key Responsibilities • Design, develop, and implement advanced analytical solutions to support critical business decisions., • Apply statistical and machine learning techniques to large datasets for predictive and prescriptive analysis., • Build and optimize robust data pipelines and ETL frameworks, ensuring data quality and availability., • Collaborate with cross-functional teams to define data requirements and integrate solutions., • Develop and maintain interactive dashboards and reports using leading Business Intelligence (BI) tools., • Write and optimize complex SQL queries for efficient data extraction and manipulation., • Manage and maintain data within relational and SQL databases., • Create comprehensive documentation for data processes, models, and tools., • Contribute to full-stack development, spanning both front-end and back-end components., • Establish and manage scalable data infrastructure, including hardware considerations, compilers, and interpreters., • Apply advanced machine learning and artificial intelligence techniques to solve complex business problems., • Leverage hardware experience to manage large datasets, develop efficient data pipelines, and ensure reliable data processing across servers and cloud platforms. Must-Have Qualifications • Strong experience with SQL and database management., • Proven experience in designing and implementing data pipelines and ETL processes., • Proficiency in machine learning and statistical modeling., • Hands-on experience with leading Business Intelligence (BI) tools., • Demonstrated full-stack development knowledge., • Experience with major cloud platforms., • Strong understanding of data architecture, data modeling, and infrastructure setup., • Ability to effectively work with and manage large-scale datasets., • Solid programming experience (e.g., Python, R)., • Exceptional problem-solving and analytical skills., • Bachelor’s degree in Electrical Engineering or Computer Engineering. Nice-to-Have Qualifications • Experience with advanced AI and machine learning frameworks., • Familiarity with big data technologies., • Proven experience in setting up new environments and infrastructure from scratch., • Knowledge of hardware and server configuration., • Experience in complex, highly regulated industries., • Familiarity with DevOps or data engineering tooling. About Skill Skill connects the best professional, IT, engineering, financial and administrative talent with the world’s biggest brands. Our eligible talent get access to benefits such as health benefit contributions, retirement plans with match and flexible spending accounts. Skill is an equal-opportunity employer. We evaluate qualified applicants without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive. #LI-ES2 #LI-Hybrid

Senior Staff Engineer, AI Compute (Remote Eligible)\n \n \n At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. \n \n Team Description: \n \n The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. \n \n You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. \n \n In this role, you will : \n\n • \n Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform \n • \n Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics \n • \n Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows \n • \n Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models \n • \n Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions \n • \n Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions \n • \n Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities \n • \n Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool \n\n Capital One is open to hiring a Remote Employee for this opportunity \n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies \n • \n At least 10 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications : \n\n • \n Master’s Degree in Computer Science or a Master’s Degree in Software Engineering \n • \n Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) \n • \n Experience building platforms that support LLM training, fine-tuning, or high-throughput inference \n • \n Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies \n • \n History of upstream contributions to major distributed systems projects \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. \n Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer\n \n Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer\n \n McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer\n \n New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n \n \n \n \n \n \n \n \n Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. \n This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.\n \n Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. \n This role is expected to accept applications for a minimum of 5 business days.\n \n No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.\n \n \n If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About Us ProAmpac is a global leader in flexible packaging – known for our innovation, customer service, and commitment to quality. We serve a wide range of industries with creative, sustainable solutions. Our five core values drive everything we do: Integrity • Intensity • Innovation • Involvement • Impact We are looking for a full-time, proactive Bag Machine Operator. The Bag Machine Operator is responsible for the safe and efficient setup and operation of converting equipment to produce Bags and Pouches to customer specification and quality expectations. He/she has demonstrated experience and expertise to perform all setups autonomously, troubleshoot and correct mechanical problems, provide training and coaching to less experienced team members, and is skilled in at least two different types of bag machine lines. Compensation for this role is $21.60 per hour. What You’ll Do: • Support and contribute to a healthy and safe work environment following all workplace regulations, policies, and initiatives, including reporting all first aid injuries, accidents, and workplace hazards., • Ensure compliance with all applicable PPE and Food Safety policies and procedures, wear steel tipped shoes, hearing protection, safety glasses, hairnets, beard nets, etc., • Adhere to all lock out tag out procedures., • Work areas are clean and organized for safety and optimal efficiency., • Analyze test results, machine error messages, and operator observations to diagnose equipment problems., • Interpret blueprints and manufacturer manuals in the efficient operation of machinery., • Repair and perform predictive and preventive equipment maintenance demonstrating both mechanical and electrical knowledge related to hydraulic, pneumatic, schematics, control systems, general electric equipment, power distribution, power supply, drives, ac/dc motors, computer & PLC hardware., • Examine parts for defects, breakage or excessive wear and determine whether replacements can be ordered, fabricated, or assembled., • Ensure parts, supplies, and tools are requisitioned, inventoried, and available as necessary., • Perform necessary record keeping and maintenance logs of equipment., • Coordinate projects and responsibilities with skilled trades (machinist, welder, etc.) to minimize downtime of equipment., • Manage Universal Waste; used oil and filters in designated containers and properly labeled., • Demonstrate to and train machine operators on proper equipment functions and features., • Participate in Continuous Improvement projects and provide suggestions to improve processes., • Work in an around energized equipment, confined spaces, and at heights., • Attend and participate in all appropriate meetings., • Perform other duties/tasks as assigned by your supervisor or a member of the management team. What You Bring: Education & Experience: • Reading and writing skills corresponding to the level of High School Diploma or equivalent. Technical Skills: • Experience in Flexible packaging and/or printing, converting equipment a plus. Soft Skills: • Customer oriented, • Motivated and collaborative within a team environment, • Must be able to problem solve and communicate/coach effectively., • Good work ethic, attendance, and punctuality. What We Offer: • Competitive compensation with performance-based incentives and retirement savings plans with company match, • Customizable group benefits including health, dental, life, disability, and travel insurance, • Paid time off, • Career development opportunities, • A dynamic, inclusive work environment where your voice matters and your growth is supported Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the _ notice from the Department of Labor.