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Overview: Company Overview MasTec Industrial, along with sister companies Casey Industrial and Phoenix Industrial, has served the power industry since 1947. We support utilities, developers, and municipalities with EPC services and project development expertise. Ranked by ENR as the #1 Power Contractor, we specialize in natural gas, oil, biomass, and waste-to-energy projects. Our team brings over 30 years of experience in utility and industrial systems, including simple and combined cycle plants and reciprocating engines. We’re committed to delivering quality, safety, and value at every project phase, from concept to operations. At MasTec Industrial, we invest in top talent and foster a respectful, inclusive environment where employees thrive as innovative leaders. The MasTec Industrial operating group is part of the MasTec Clean Energy & Infrastructure (CE&I) business segment. The CE&I segment generates over $4.5 billion in annual revenue, providing construction services across our renewables, industrial, infrastructure, and general building operating groups. Sustainability and safety are foundational to our culture and influence everything we do. MasTec, a minority-owned Fortune 500 company, has shaped the construction industry for more than 90 years. With over 35,000 employees and 400 offices nationwide, we provide flexibility and career growth in dynamic work environments. POSITION SUMMARY: Responsible for laying out, fabricating, assembling, installing and maintaining piping and piping systems, fixtures and equipment for steam, hot water, heating, cooling, lubricating, sprinkling and industrial processing systems. $3/HOUR COMPLETION BONUS FOR PIPE CREW Eligibility for completion bonus: Effective April 27, 2026, eligible hourly employees will receive an additional $3.00 for each hour worked. Hours eligible for this bonus exclude holiday pay, paid time off (PTO), and any leave of absence. Employees must be actively employed and in good standing at the time of payout to receive the bonus. Forfeiture of Eligibility: Employees who voluntarily resign or are terminated for cause prior to payout will forfeit all accrued bonus amounts. Responsibilities: ESSENTIAL JOB FUNCTIONS: • Promote and comply with all Company and safety policies and procedures, • Select type and size of pipe and related materials according to job specifications, • Inspect worksite to determine presence of obstructions and to determine that holes will not cause structural weakness, • Plan sequence of installation to avoid obstructions and activities of other construction workers, • Cut pipe using hacksaw, pipe cutters, hammer and chisel, cutting torch and pipe cutting machine, • Thread pipe using threading machine, • Bend pipe by hand or with pipe-bending machine, • Assemble and install a variety of metal and nonmetal pipe and pipe fittings, including: brass, copper, lead, glass and plastic, • Join pipe by means of threaded, caulked, wiped, soldered, brazed, fused or cemented joints, • Use hand tools to secure pipe to structure with clamps, brackets and hangers, • Install and maintain refrigeration and air-conditioning systems, including: compressors, pumps, meters, pneumatic and hydraulic controls and piping, • Test piping system for leaks by increasing pressure in pipes and observing gauges attached to pipes for indication of leaks, • Weld holding fixtures to structural steel members, • May be required to travel to different jobsites on limited notice, • 4+ years related experience and/or training or equivalent combination of education and experience, • High school diploma or GED Certification (preferred), • Be knowledgeable of MIC Health and Safety programs and project specific regulations., • When on-site, actively participate in daily toolbox meetings with crews and subcontractors., • Set a personal example of safe behavior., • Read and interpret documents such as safety rules, operating and maintenance instructions and procedure manuals, • Add and subtract two-digit numbers, multiply and divide with 10's and 100's and ability to perform these operations using units weight measurement and volume, • Common sense understanding to carry out instructions furnished in written or oral form, • Ability to work within precise standards of accuracy and follow set procedures and standards, • Other may duties may be assigned, • Work up to a 12-hour shift doing hard physical work in varying temperatures and outside conditions., • May need to maintain physical strength and stamina; Use arms, hands, and legs fully; Push, pull, and frequently lift and carry objects weighing up to 50 pounds; and stoop, kneel, balance, crouch, crawl, and climb to perform job tasks., • Stamina to perform this task repetitively and continuously for several hour intervals., • Uncontrolled environmental conditions: Constant change in weather and site conditions., • This work environment may involve moderate exposure to unusual elements, such as extreme temperatures, dirt, dust, fumes, smoke, unpleasant odors and/or loud noises., • Ability to wear personal protective equipment is required (including but not limited to- safety toed shoes, gloves, safety glasses, hearing protection, hardhat, vest, etc.)., • Move in and around confined, cluttered, and uneven areas., • May need to work at heights and must be able to abide by all safety and fall-protection requirements; must be able to wear and utilize all safety equipment required for work at heights., • Evaluate information based on measurable standards; and see details in objects or drawings and recognize slight differences in shapes and shadings., • Visualize objects in three dimensions from drawings., • Keep good balance and work at heights., • See well (either naturally or with correction)., • Hear well (either naturally or with correction.) This position is a Full-Time position scheduled to work typically 50 hours per week. Schedule is subject to projects requirements. TRAVEL: Travel required up to 90%. Position requires presence directly on the Project Site location with intermittent travel to residence of record. What's in it for you: Financial Wellbeing • Compensation $0-$0 / hour, commensurate with experience, • Competitive pay with ongoing performance review and merit increase, • 401(k) with company match & Employee Stock Purchase Plan (ESPP), • Medical, Dental, and Vision insurance (plan choice) - coverage for spouse, domestic partner, and children, • Diabetes Management, Telehealth Coverage, Prescription Drug Plan, Pet Insurance, • Short and long-term disability, life insurance, and accidental death & dismemberment, • Voluntary life insurance, accident, critical illness, hospital indemnity coverage, • Emergency Travel Assistance Program, • Group legal plan Position may be subject to pre-employment screening, which may include background check and drug testing. Accessibility: If you need accommodation as part of the employment process, contact . Due to the high volume of applications received, we are unable to respond to individual requests regarding application status. Please log into your candidate profile for up-to-date information. MasTec, Inc. is an Equal Employment Opportunity Employer. The Company's policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, genetic information, military status, or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. It is also MasTec's policy to comply with all applicable state, federal and local laws respecting consideration of unemployment status in making hiring decisions. MasTec Clean Energy & Infrastructure and our subsidiaries do not work with any third-party recruiters or agencies without a valid signed agreement and partnership with the Corporate Talent Acquisition Team. Appcast (For Export): #appflash

Experience with machine learning and related engineering skill sets - Full stack proficiency (e. As a Lead Software Development Engineer, it’s up to you to define, design and refine the tech that keeps us one step ahead of listeners. You'll work with talented engineers solving complex distributed

Lead AI Engineer (AI Foundations, LLM Customization and Finetuning) Overview 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. Team Description: 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. In this role, you will: * 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. * 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. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * 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. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $197,300 - $225,100 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 (Agentic AI Platform) Overview: 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. Team Description: 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. In this role, you will: * 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. * 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. * 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. * 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%. * 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. * 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. * You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs * 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. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * 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. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) * 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) * 8+ years of experience designing mission-critical machine learning platforms * 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * 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 * Master's degree in Computer Science, Computer Engineering, or relevant technical field * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * Experience leading GenAI or LLM-Powered application architectures in production * Deep understanding of Responsible AI, data privacy and multi-tenant security patterns * K8s mastery (multi-region clusters, service mesh) * Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 Engineer, AI Compute (Remote Eligible) Overview: 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. Team Description: 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. 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. In this role, you will : * Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform * 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 * Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows * Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models * 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 * 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 * Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities * Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Basic Qualifications * Bachelor’s Degree * At least 7 years of experience with application architecture and design patterns. * At least 5 years of experience with distributed databases, microservice architectures, and high availability systems Preferred Qualifications • Degree in Computer Science or a Master’s Degree in Software Engineering, • Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management), • Experience building platforms that support LLM training, fine-tuning, or high-throughput inference, • Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Overview: Action Carting Environmental Services/ Interstate Waste Services is the most progressive and innovative provider of solid waste and recycling services in the country! We primarily service Northern New Jersey, Southern New York State, New York City, Pennsylvania, and Ohio. We cater to a diverse range of industrial, medical, and commercial customers. Our mission has always been to provide our customers with the highest quality waste, recycling, and environmental services, while keeping focus on employee, customer, and environmental safety. What makes our company culture unique is we have mastered the ability to balance the standards of a large corporate company while maintaining our small business family style culture. We are seeking a Waste Collection Roll Off Driver who will be working out of our Jersey City Depot (264 Broadway, Jersey City, NJ 07306) servicing NYC Routes and reporting to the Site Manager but is also subject to supervision by Route Supervisors and Dispatchers. This is a full time, Union, non-exempt, hourly position with an overnight schedule starting anywhere between 7pm and 9pm, Sunday evening through Friday evening but may vary depending on business needs. Shifts may vary from 10 to 12 hours per evening or until the route is complete. Our Waste Collection Roll-Off Driver’s main responsibility is to safely operate a Roll-Off Truck, for the pick-up service of containers filled with waste or recyclable material. Drivers transport the material to a disposal, transfer or recycle facility, and may make one or more trips throughout the shift. A minumum of 1 year of experience driving and operating a Roll Off Truck is required. Essential Job Functions: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Other minor duties may be assigned.: • Continuously monitor for safety and service-related issues, as well as containers or other equipment in need of repair, and report any issues to the Route Supervisor or Dispatch., • All employees are expected to be responsible and accountable for the safety for themselves, their colleagues, the trucks, and other equipment and property. Drivers must immediately notify Route Supervisor or Dispatch of any incidents, accidents, injures, or property damage., • Performs pre- and post-trip inspections of assigned vehicle using utilizing standard DVIR (Driver Vehicle Inspection Report); notes all issues on DVIR form for corrective review/repair., • Communicate professionally with customers and Dispatchers at all times. This includes receiving complaints about schedules and quality of service. Our Drivers must make note of and report on any such complaints and respond in a courteous and respectful manner., • Notifies Dispatch or Route Manager of issues as prescribed by Service Machine protocol, including blocked containers, potential missed pick-ups or problems that arise on the route., • Communicates customer requests or issues to Dispatch or Route Manager., • Completely dumps all containers and leaves the customer’s location clean and free of debris., • Completes and submits customer tickets when excess yardage must be removed., • Positions containers on the customer’s property in a manner that ensures lids are properly replaced, containers are set in an upright position, and containers do not block driveway entrances or traffic., • Work closely with Route Supervisor to improve route efficiencies and identify best practices., • Attend all required training, operational meetings, and mandatory monthly Safety Meetings, • Maintain a clean, safe work area in compliance with Corporate / OSHA Standards, • The Driver position may be required to lift up to 50 pounds, as well as mount and dismount the truck multiple times every route., • Must be able to work outdoors in all kinds of weather., • Drivers must be able to physically mount and dismount the truck throughout the duration of the workday. Requirements and Qualifications::, • Applicants must be at least 21 years of age and legally eligible to work in the United States., • All Drivers must have a valid Class A or B CDL with airbrake endorsement, and a clean driving record., • At least 1 year of experience operating a vehicle requiring a CDL A or B, within the last 7 years. Experience as a Driver or Helper for a refuse company is highly preferred., • At least 1 year of experience driving and operating a Roll Off Truck, • Working knowledge of DOT, OSHA, and applicable traffic regulations., • Must be able to speak and read English well enough to converse with the public, understand highway traffic and signals, respond to official questions, and be able to make legible entries on reports and records., • Must be able to read and understand a map., • Must be able to meet the physical and safety requirements of the position. Action Carting Environmental Services/ Interstate Waste Services provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Drug-Free Workplace. Salary Range Minimum: USD $32.58/Hr. Salary Range Maximum: USD $32.58/Hr.

Overview: Action Carting Environmental Services/ Interstate Waste Services is the most progressive and innovative provider of solid waste and recycling services in the country! We primarily service Northern New Jersey, Southern New York State, New York City, Pennsylvania, and Ohio. We cater to a diverse range of industrial, medical, and commercial customers. Our mission has always been to provide our customers with the highest quality waste, recycling, and environmental services, while keeping focus on employee, customer, and environmental safety. What makes our company culture unique is we have mastered the ability to balance the standards of a large corporate company while maintaining our small business family style culture. We are seeking a Waste Collection Roll Off Driver who will be working out of our Jersey City Depot (264 Broadway, Jersey City, NJ 07306) servicing NYC Routes and reporting to the Site Manager but is also subject to supervision by Route Supervisors and Dispatchers. This is a full time, Union, non-exempt, hourly position with an overnight schedule starting anywhere between 7pm and 9pm, Sunday evening through Friday evening but may vary depending on business needs. Shifts may vary from 10 to 12 hours per evening or until the route is complete. Our Waste Collection Roll-Off Driver’s main responsibility is to safely operate a Roll-Off Truck, for the pick-up service of containers filled with waste or recyclable material. Drivers transport the material to a disposal, transfer or recycle facility, and may make one or more trips throughout the shift. A minumum of 1 year of experience driving and operating a Roll Off Truck is required. Essential Job Functions: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Other minor duties may be assigned.: • Continuously monitor for safety and service-related issues, as well as containers or other equipment in need of repair, and report any issues to the Route Supervisor or Dispatch., • All employees are expected to be responsible and accountable for the safety for themselves, their colleagues, the trucks, and other equipment and property. Drivers must immediately notify Route Supervisor or Dispatch of any incidents, accidents, injures, or property damage., • Performs pre- and post-trip inspections of assigned vehicle using utilizing standard DVIR (Driver Vehicle Inspection Report); notes all issues on DVIR form for corrective review/repair., • Communicate professionally with customers and Dispatchers at all times. This includes receiving complaints about schedules and quality of service. Our Drivers must make note of and report on any such complaints and respond in a courteous and respectful manner., • Notifies Dispatch or Route Manager of issues as prescribed by Service Machine protocol, including blocked containers, potential missed pick-ups or problems that arise on the route., • Communicates customer requests or issues to Dispatch or Route Manager., • Completely dumps all containers and leaves the customer’s location clean and free of debris., • Completes and submits customer tickets when excess yardage must be removed., • Positions containers on the customer’s property in a manner that ensures lids are properly replaced, containers are set in an upright position, and containers do not block driveway entrances or traffic., • Work closely with Route Supervisor to improve route efficiencies and identify best practices., • Attend all required training, operational meetings, and mandatory monthly Safety Meetings, • Maintain a clean, safe work area in compliance with Corporate / OSHA Standards, • The Driver position may be required to lift up to 50 pounds, as well as mount and dismount the truck multiple times every route., • Must be able to work outdoors in all kinds of weather., • Drivers must be able to physically mount and dismount the truck throughout the duration of the workday. Requirements and Qualifications::, • Applicants must be at least 21 years of age and legally eligible to work in the United States., • All Drivers must have a valid Class A or B CDL with airbrake endorsement, and a clean driving record., • At least 1 year of experience operating a vehicle requiring a CDL A or B, within the last 7 years. Experience as a Driver or Helper for a refuse company is highly preferred., • At least 1 year of experience driving and operating a Roll Off Truck, • Working knowledge of DOT, OSHA, and applicable traffic regulations., • Must be able to speak and read English well enough to converse with the public, understand highway traffic and signals, respond to official questions, and be able to make legible entries on reports and records., • Must be able to read and understand a map., • Must be able to meet the physical and safety requirements of the position. Action Carting Environmental Services/ Interstate Waste Services provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Drug-Free Workplace. Salary Range Minimum: USD $32.58/Hr. Salary Range Maximum: USD $32.58/Hr.

Lead Machine Learning Engineer (Gen AI, Python, Go, AWS) As a Capital One Machine Learning Engineer (MLE) on the GenAI Workflows Serving team, you'll be part of an Agile team dedicated to designing, building, and productionizing Generative AI applications and Agentic Workflow systems at massive scale. You’ll participate in the detailed technical design, development, and implementation of complex machine learning applications leveraging cloud-native platforms. You’ll focus on building robust ML serving architecture, developing high-performance application code, and ensuring the high availability, security, and low latency of our Generative AI solutions. You will collaborate closely with multiple other AI/ML teams to drive innovation and continuously apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role 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: * Design, build, and deliver GenAI models and components that solve complex business problems, while working in collaboration with the Product and Data Science teams. * Design and implement cloud-native ML Serving Platforms leveraging technologies like Docker, Kubernetes, KNative, and KServe to ensure optimized and scalable deployment of models. * Solve complex scaling and high-availability problems by writing and testing performant application code in Python and Go-lang, developing and validating ML models, and automating tests and deployment. * Implement advanced MLOps and GitOps practices for continuous integration and continuous deployment (CI/CD) using tools like ArgoCD to manage the entire lifecycle of models and applications. * Leverage service mesh architectures like Istio to manage traffic, enhance security, and ensure resilience for high-volume serving endpoints. * Retrain, maintain, and monitor models in production. * Construct optimized, scalable data pipelines to feed ML models. * 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. * Use programming languages like Python, Go, Scala or Java Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, Go or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 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). 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 Astrophysics Inc. is a global leader in X-Ray security inspection systems, dedicated since 2002 to making the world safer through advanced screening technology. Our systems protect critical infrastructure in over 150 countries, serving airports, government buildings, military bases, and more. We currently have an immediate full-time position opening for a Field Service Technician to be based remotely, located in or near New York, NY. Job Summary The Field Service Technician is responsible for on-site installation, preventative maintenance, and corrective maintenance of Astrophysics products at various customer locations. In this role, the technician will troubleshoot, diagnose and repair products, perform maintenance, and complete all service documentation and reports. The Field Service Technician must maintain a professional appearance and provide exceptional customer service. The Field Service Technician position requires the ability to travel, reliable vehicle transport, and a valid driver’s license. Essential Functions: • Perform on-site installation, and preventative and corrective maintenance., • Complete all necessary service documentation, including reports, radiation surveys, parts requisitions, and expense reports., • Test faulty equipment to diagnose malfunctions and return the defective parts regularly, as parts are accumulated and shipping is cost-effective., • Input and maintain all data in the service databases (including Astrophysics proprietary software and apps), ensuring timely and accurate completion., • Review machine and customer information prior to arriving on-site, and prepare the necessary equipment, parts, and documentation in advance., • Update the customer and Astrophysics service headquarters on progress and status of service call., • Deliver the customer package, including warranty, customer survey, and copies of all relevant reports., • Ensure an outstanding customer service experience., • Promote the sale of extended warranty service contracts and repeat x-ray purchases., • Provide operator and/or technical training., • Provide technical phone support and documentation as needed., • Associate’s or Bachelor’s Degree in Electronics, Computer Engineering, or related field., • 2-7 years technical support or field service experience., • Excellent analytical, problem-solving and troubleshooting ability., • Excellent customer service skills., • Professional appearance, demeanor and attitude., • Ability to consistently travel to various work sites., • Excellent medical, dental and vision benefits, • 401K plan with 4% employer match, • 11 paid holidays, 10 PTO days, • Free donuts on Fridays, company luncheons and year end party! Be part of a meaningful security mission with opportunities for personal and professional growth and development. Join our Astrophysics family today! Equal Opportunity Employer Astrophysics Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. For accommodation requests, please contact Human Resources at (909) 598-5488. Compensation details: 66560 Yearly Salary PI2934d537a122-25405-40425252

Astound is a leading provider of internet, WiFi, mobile, and TV services, dedicated to connecting communities and empowering lives through innovative technology. We also keep businesses connected with dependable fiber infrastructure and internet solutions backed by award-winning service, helping organizations thrive in an increasingly connected world. At the forefront of digital transformation, we continuously evolve our offerings to meet the dynamic needs of our customers—delivering reliable connectivity and groundbreaking digital experiences. Our commitment to excellence extends beyond infrastructure. We invest in our people through personalized training, coaching, and a supportive work environment that fosters growth and opportunity. Employees are empowered to represent a superior telecommunications company while making a meaningful impact in the communities we serve. We offer a robust benefits package that includes rewards, recognition programs, and employee discounts—ensuring our team members are supported in both their professional and personal journeys. At Astound, we believe in creating astounding possibilities for everyone, everywhere. A Day in the Life of the Enterprise Account Executive: The Enterprise Account Executive is responsible for outside sales to enterprise level commercial customers, including large business customers of both internet & telephone services. This includes proactively identifying new customer sales opportunities, defining customer needs, preparing proposals, and closing deals. • Conduct proactive outside sales activities, including cold-calling and knocking on doors, proactive needs assessment, applications development, proposal presentation, order negotiation and post-sales service requirements, • Negotiate to secure contracts with telecommunications decision makers in order to achieve revenue growth and retention., • Manage installation projects with various teams to ensure on-time delivery, successful turn-up and customer satisfaction, • Respond to requests from customers for information, support, assistance, joint proposals, pricing, etc., • Respond to demand sales requests, • Supports others within the sales/service team to achieve customer satisfaction, • Other duties as assigned What you bring to the table: • Minimum 5 years’ experience selling B2B in technology environment, • Demonstrated success in telecommunications and internet sales to end-user customers, including strategic and large business customers and government accounts using relationship management and system sales concepts, • Exceptional presentation, negotiation and closing skills, • Seasoned experience building a base of business, • Ability to sell to C level executives within an organization, • Experience in systems selling, consultative sales techniques, customer needs analysis, sales opportunity development, and service improvement planning., • Technical skills related to network and transmission design and local access services, • Product knowledge of both switched and dedicated services, as well as associated end-user and carrier applications, • Operational understanding of telecommunications ordering, provisioning, and billing processes, • Working knowledge of general marketing principle tools and processes, • Skills necessary for decision making and maintaining customer retention, • Strong interpersonal skills, • Ability to act like an Entrepreneur is a necessary attribute, • Ability to effectively operate in a highly dynamic environment, • Ability to communicate by telephone, correspondence, and in person, • Ability to problem solve and ability to see big picture, • Must have basic computer, typing and mathematics techniques, • Ability to operate standard office equipment, to include personal computer, telephone, printer, copier, facsimile machine, and calculator, • Ability to stay focused and remain composed during peak periods & when dealing with challenging situations, • Must have valid driver's license with clean driving record We're Proud to Offer a Comprehensive Benefits Package Including: * 401k retirement plan, with employer match * Insurance options including: medical, dental, vision, life and STD insurance * Paid Time Off/Vacation: Starting at 80 hours per year, and increases based on tenure with the organization * Floating Holiday: 40 hours per year * Paid Holidays: 7 days per year * Paid Sick Leave: Astound allows a number of paid sick hours per calendar year and varies based on state and/or local laws * Tuition reimbursement program * Employee discount program *Benefits listed above are for regular full-time position The base salary in New York for this position is $85,000 annually, plus opportunities for bonus, benefits and commission, if applicable. The base pay range represents the low and high end of the hiring range for this job. Actual pay will vary and may be above or below the range based on various factors including but not limited to relevant skills, experience, and capabilities. It is specific to New York and may not be applicable to other locations. Commissions at plan: Targeted commissions at full attainment are thirty-two thousand, four hundred dollars. Our sales total compensation offers the potential for significant upside above targeted earnings for those who overachieve their sales targets. Our Mission Statement: • Take care of our customers, • Take care of each other, • Do what we say we are going to do, • Have fun Astound is proud to be an Equal Opportunity Employer, and we are dedicated to cultivating an inclusive workplace where employees feel valued, respected, and empowered. Discrimination of any kind has no place here. We are committed to providing equal opportunities for all employees and applicants, regardless of race, color, religion, sex, gender, pregnancy, childbirth and related conditions, national origin, age, physical and mental disability, marital status, sexual orientation, genetic information, military or veteran status, citizenship, or other status or characteristic protected by applicable law. We strive to create a culture that celebrates our differences and promotes fairness and inclusivity in all aspects of our business.

Sr. Lead AI Engineer (AI Foundations) Overview: 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. Team Description: 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. In this role, you will: * 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. * 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. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * 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. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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) Overview: 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. Team Description: 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. In this role, you will: * 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. * 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. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * 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. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Distinguished AI Engineer 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. Team Description: 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. In this role, you will: * 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. * 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. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * 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. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor'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, or a Master'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 * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Richmond, VA: $244,700 - $279,200 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 ( MLX, Gen AI Platform Services, Agentic AI) Overview 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. Team Description: 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. In this role, you will: * 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. * 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. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * 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. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

National Field Service CNC Machine Tools - Elizabeth, NJ Field Service Mechanic Tech Maintenance Technician Engineer Install Repair Calibrate Maintain CNC Machine Tool Routers Grinders Saws Cutters Lathes Mills Millers Machining Centers Robot Loaders _. Seeking highly qualified and motivated Field Service Technician with 3+ years of experience in the maintenance and repair of automated CNC machine tools. Must possess ability to read blueprints and schematics, troubleshoot mechanical, electrical and pneumatic systems, and perform heavy mechanical repairs and electrical repairs to the board level. Requires extensive travel - Shall work in assigned region but may be asked to travel nationally as needed. Must have experience maintaining and repairing any of the following: • Multi-axis boring mills, grinders, lathes, or other machine shop equipment • Automated cutting tools - Saws, shears, presses, etc. • Industrial injection or extrusion molding machinery Offering comprehensive benefits package and highly competitive portal to portal compensation. Enjoy guaranteed pay for 40 hours per week plus OT at 1.5x after 40 hours. Receive top of the line training and grow with a multi-million-dollar, well-known, expanding organization. For complete details contact Christopher Moreno at: (609) 584-9000 ext 264 Or submit resume online at: Or email to: Please reference #43048NJ175 when responding. Diedre Moire Corporation Education Requirements: High School Minimum Experience Requirements: 2-5 years Job City Location: Elizabeth Job State Location: NJ Job Country Location: USA Salary Range: $80,000 to $120,000 Diedre Moire Corporation, Inc. diedremoire.com WE ARE AN EQUAL OPPORTUNITY EMPLOYER and our employment decisions are made without regard to race, color, religion, age, sex, national origin, handicap, disability or marital status. We reasonably accommodate individuals with handicaps, disabilities and bona fide religious beliefs. Jobs Career Position Hiring. CONSIDERED EXPERIENCE INCLUDES: Field Service Mechanic Tech Maintenance Technician Engineer Install Repair Calibrate Maintain CNC Machine Tool Routers Grinders Saws Cutters Lathes Mills Millers Machining Centers Robot Loaders #DiedreMoire #JobSearch #JobHunt #JobOpening #Hiring #Job #Jobs #Careers #Employment #jobposting #cncjobs #ManufacturingJobs #MaintenanceMechanic #FieldServiceJobs #TechnicianJobs DISCLAIMER: We will make every effort to consider applications for all available positions and shall use one or more of the contact methods and addresses indicated in resume or online application. Indicated location may be proximate or may be desirable point of embarkation for paid or unpaid relocation to another venue. Job descriptions may fit single or multiple presently available or anticipated positions and are NOT an offer of employment or contract implied or otherwise. Described compensation is not definite nor precise and may be estimated and approximate and is negotiable depending on market conditions and candidate availability and other factors and is solely at the discretion of employers. Linguistics used herein may use First Person Singular and First Person Plural grammatical person construction for and with the meaning of Third Person Singular and Third Person Plural references. We reserves the right to amend and change responsibilities to meet business and organizational needs as necessary. Response to a specific posting or advertisement may result in consideration for other opportunities and not necessarily the incentive or basis of the response. Nothing herein is or may be considered a promise, guarantee, offer, pledge, agreement, contract, or oath. If you submit an application or resume which contains your email address, we will use that email address to communicate with you about this and other positions. We use an email quality control service to maintain security and a remove and dead address filter. To cancel receiving email communications, simply send an email from your address with the word remove"" in the subject line to Or, visit the website at . If you have further concern regarding email received from us, call (609) 584-5499

Field Service Mechanic CNC Machining Centers - Jersey City, NJ Field Service Mechanic Tech Maintenance Technician Engineer Install Repair Calibrate Maintain CNC Machine Tool Routers Grinders Saws Cutters Lathes Mills Millers Machining Centers Robot Loaders _. Immediate opening available for experienced Field Service Technician to maintain and repair CNC Horizontal Machining Centers, Vertical Machining Center, Punch Press Machines, Boring Machines, Vertical Turing Lathes and more. • Mechanical and electrical troubleshooting • Swapping spindles • Replacing servo drives • Troubleshooting PLCs • Replacing or repairing gear boxes • Testing hydraulic and pneumatic systems Requires 5 or more years of experience carrying out the above mentioned (or similar) tasks. Must display knowledge and technical expertise related to electrical, mechanical, pneumatic and hydraulic systems found on automated machine tools. Must operate efficiently and effectively in an independent, unsupervised work environment. Must possess professional communication skills with ability to speak with technical support staff (as needed) and ability to train or educate customers in the field. Receive initial training on company equipment to bring you up to speed. Enjoy working in a low stress environment. Earn up to $45 per hour with OT at 1.5x. Allow for career growth and opportunities for advancement. Receive full employee benefits including 401K and medical insurances. For complete details contact Christopher Moreno at: (609) 584-9000 ext 264 Or submit resume online at: Or email to: Please reference #43048NJ157 when responding. Diedre Moire Corporation Education Requirements: High School Minimum Experience Requirements: 2-5 years Job City Location: Jersey City Job State Location: NJ Job Country Location: USA Salary Range: $80,000 to $120,000 Diedre Moire Corporation, Inc. diedremoire.com WE ARE AN EQUAL OPPORTUNITY EMPLOYER and our employment decisions are made without regard to race, color, religion, age, sex, national origin, handicap, disability or marital status. We reasonably accommodate individuals with handicaps, disabilities and bona fide religious beliefs. Jobs Career Position Hiring. CONSIDERED EXPERIENCE INCLUDES: Field Service Mechanic Tech Maintenance Technician Engineer Install Repair Calibrate Maintain CNC Machine Tool Routers Grinders Saws Cutters Lathes Mills Millers Machining Centers Robot Loaders #DiedreMoire #JobSearch #JobHunt #JobOpening #Hiring #Job #Jobs #Careers #Employment #jobposting #cncjobs #ManufacturingJobs #MaintenanceMechanic #FieldServiceJobs #TechnicianJobs DISCLAIMER: We will make every effort to consider applications for all available positions and shall use one or more of the contact methods and addresses indicated in resume or online application. Indicated location may be proximate or may be desirable point of embarkation for paid or unpaid relocation to another venue. Job descriptions may fit single or multiple presently available or anticipated positions and are NOT an offer of employment or contract implied or otherwise. Described compensation is not definite nor precise and may be estimated and approximate and is negotiable depending on market conditions and candidate availability and other factors and is solely at the discretion of employers. Linguistics used herein may use First Person Singular and First Person Plural grammatical person construction for and with the meaning of Third Person Singular and Third Person Plural references. We reserves the right to amend and change responsibilities to meet business and organizational needs as necessary. Response to a specific posting or advertisement may result in consideration for other opportunities and not necessarily the incentive or basis of the response. Nothing herein is or may be considered a promise, guarantee, offer, pledge, agreement, contract, or oath. If you submit an application or resume which contains your email address, we will use that email address to communicate with you about this and other positions. We use an email quality control service to maintain security and a remove and dead address filter. To cancel receiving email communications, simply send an email from your address with the word remove"" in the subject line to Or, visit the website at . If you have further concern regarding email received from us, call (609) 584-5499

Our client, a global manufacturer of precision sheet-metal products, has an immediate need for an experienced Field Service Technician, to join their winning team in Newark. Our candidate of choice will be at the forefront of delivering exceptional customer service during the installation of new products, servicing existing customer equipment, and providing technical support via phone or email. You will be crucial in ensuring customer satisfaction and maintaining the company's reputation for excellence. By expertly managing the final steps of product deployment and ongoing maintenance, you ensure that our customers receive top-notch support and that our products perform optimally, thereby enhancing customer loyalty and driving the company's success. KEY RESPONSIBILITIES: Perform a variety of technical field service duties, including new product installations, equipment start-up, functional testing, and customer training. Act as a professional company representative, ensuring exceptional customer service at customer locations or in any service support role. Read, understand, and work with blueprints, drawings, schematics, manuals, and other specifications. Document machine data, service history, and quality information. Assist customers with parts identification and ordering. Demonstrate products as necessary to support sales. Communicate with regional managers to ensure customer expectations are met and important information is relayed to the appropriate parties. Maintain prompt communication of expenses and service reports on a weekly basis. Make recommendations for changes and improvements based on field service activities. Travel domestically up to 100% and occasionally internationally to support service areas. KEY REQUIREMENTS: Two-year Technical Associate's Degree (Mechanical, Electrical, or Laser Technology) or equivalent technical school training and military/industrial experience. Minimum two years of hands-on electronic/assembly repair experience, with CNC fabrication machinery equipment repair strongly desired. Valid, clean driver's license and credit card. Willingness to travel domestically up to 100% to provide customer service support. Demonstrated computer skills (Microsoft Office environment, internal network). Experience with computer hardware, BIOS, operating systems, networking, and CAD/CAM is a plus. Experience using multimeters, oscilloscopes, and other electronic and precision mechanical equipment. Valid, clean driver’s license and credit card. Ability to lift/move objects up to 50 pounds regularly, with heavier lifting required occasionally. Comfortable working in environments with dust, odor, oil, fumes, and noise. WE OFFER: 401(k) 401(k) matching Dental insurance Health insurance Health savings account Life insurance Paid time off Vision insurance Please apply today to be immediately considered for the role! Elgen Staffing is the fastest growing staffing agency in New Jersey. With a deep understanding of today's hiring trends and technologies we have the ability to leverage the most effective recruiting methods to find the best candidates across numerous markets and industries and place them into the appropriate position successfully. Please allow us to help you find your dream job today!

Lead AI Engineer (Gen AI Platform Services) Overview 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. Team Description: 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. In this role, you will: * 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. * 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. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * 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. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 (Enterprise Platforms Technology) 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. What you’ll do in the role: 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 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). 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. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 Title: Textile Coordinator Location: Manhattan, NY 10038 Duration: 2 Months Job Type: Temporary Assignment Work Type: Hybrid (3 days in office 2 days WFH) Payrate:$ 35.00 - 38.00/hr. Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. The below job opportunity is to one of Our clients who is the world's largest intimates specialty retailer offering a wide assortment of modern, fashion-inspired collections including signature bras, panties, lingerie, casual sleepwear, swim and athleisure, as well as award-winning prestige fragrances and body care. Job Descriptions: • The Associate Textile Technologist will be the junior coordinator with Stylists, regional offices, and printers to execute the patterns to meet design intent and make sure to meet milestone deadlines., • Ensure all prints, patterns, and graphic packages/artwork are valid and viable for each region and vendor., • Develop graphics according to seasonal sourcing strategy provided by Graphic partners., • Ensure strike offs, handlooms, knit-downs are received in preparation for milestone meetings., • Meet with Stylist and Design teams to review print, pattern, and graphics submits and partner with manager to provide comments on correction., • Ensure prints, engineered graphics, and pattern placements are reviewed and approved in a timely manner with team managers and stylists team., • Ensure all prints, patterns, and graphics are captured and tracked via seasonal PLM/Centric tracking chart (our main communication tool with global partners)., • Ensure all print, pattern, and graphic approvals are made by the drop-dead dates provided by seasonal calendar and production partners. If deadlines cannot be achieved, partner with manager on recommendations and clearly communicate with cross-functional partners., • Follow up with textile technologist to ensure cross functional communication is appropriate and timely to avoid delivery, price, or quality issues., • Follow up with Stylists, CAD artists, and vendors for printing techniques and limitations based on repeats, special layouts for the raw materials, and machine limitations., • Support with Stylists and Managers to get final alignment for special strike offs for the prints., • Bachelor’s degree with a preferred concentration in apparel production management or equivalent experience., • Minimum 2 years’ experience in print pattern, graphic product development, and/or sourcing., • Experience in approving colors and layout for pattern and graphic strike offs., • Prior knowledge of repeat of artwork, fabric content, printing machine type, and basic testing for QA., • Prior knowledge of printing, yarn dyes, and graphic manufacturing., • Prior knowledge of garment washing, garment dyeing, and fabric finishing., • Working knowledge of printing process (understanding how print pattern and graphic development impacts the product development process through commercialization and applies knowledge to ensure business objectives are achieved)., • Excellent communication skills, both written and verbal., • Excellent organizational skills and highly detail oriented., • Excellent computer skills – Excel, Word, Outlook, PLM/Centric, and basic skills for Photoshop., • Self-starter with ability to self-manage, and work in a team environment., • Proactive and solution oriented.

Summary: Reporting to the Design Director of Knitwear, this candidate will support the Knitwear Design Team in the development and execution of fully fashioned and seamless knit garments across all categories. The role requires a candidate with an eye for detail and a strong ability to partner with Product Development on new techniques and trims. This candidate will liaise cross-functionally to ensure clear and detailed communication on all designs. Responsibilities include but are not limited to: • With direction from the Creative Team, this candidate will be responsible for researching and developing design ideas for the season; concept presentations should include silhouette research, yarn research, swatches/stitch developments, sketches, drapes, fabric manipulation, textile developments, and finished mock-ups. All designs presented should consider finishes, trims, and branding as needed., • Prepare tech packs for both in-house and out-of-house developments under the guidance of the Design Director, ensuring all details and fabric information are present., • Prioritize developments in accordance with overseas deadlines. Keep in close communication with Technical Design and Product Development (PD) to ensure developments are proceeding according to plan and present solutions where necessary., • Partner with Assistant Designer and Intern to support the Design Director., • Partner with Designer to name and set up all styles in the system, inclusive of product descriptions and accurate sketches. Follow and update all design changes systematically., • Support the Design Director in preparation for design meetings and follow through on updating all design collateral as needed when changes occur., • Actively update and communicate necessary changes to design boards., • Prepare updated information on all design developments for weekly design ops meetings., • Ensure all systems are up to date, including Miro, RLM, and necessary line sheets and trackers., • Follow up on all swatch launches with factories and keep the tracker up to date, ensuring all swatches are available for milestone meetings., • Participate in pre-fitting all prototypes prior to proto review with the intention of making improvements and preparing solutions., • Support the Design Director in preparation for all proto review and SMS meetings, ensuring that all garments have been assessed and are accounted for. If necessary, prepare solutions or supplemental ideas/concepts that are in accordance with the seasonal line plan., • Work with the Intern to ensure all garments are prepared ahead of time for meetings and fittings., • Communicate SMS launch by style and SKU to PD and ensure design boards and systems are updated to reflect launched styles., • Check all SMS upon arrival and work with the Design Team to make any necessary adjustments., • Support the Design Director in preparation for all styling meetings, ensuring that all SMS are present and organized in order of the line sheet. Prepare any supplemental design materials needed for styling., • Participate in all necessary Proto, SMS through TOP sample fittings. Ensure design integrity and that all fit comments are considered and communicated efficiently. Liaise with Technical Design, PD, and Production to maintain aesthetic and production viability through to the customer., • Analyze, leverage, and integrate sales and bookings data to inform ongoing and future designs., • Work on any additional projects as requested by the Design Director. Position Requirements: • BA or BFA with a specialization in knitwear, • 2–3 years of experience in a designer capacity, • Strong flat sketching skills, • Detailed knowledge of patternmaking or draping, • Strong knowledge of construction, sewing techniques, and finishes, • Familiar with yarn mills, yarn capabilities, and applications, • Familiar with domestic and computer knitting machines (i.e., Dubied, Stoll, Shima, Steiger, etc.), • Ability to develop unique stitches and swatches with all types of yarn, • Proficient in hand sewing and machine sewing, • Strong understanding of fabric attributes, • Strong color and print sense, • Excellent time management and interpersonal skills, • Ability to prioritize and manage workload with multiple deadlines, • Excellent communication skills, • Strong ability to present ideas, • Strong Adobe Photoshop, Illustrator, and InDesign skills, • Enthusiasm to bring new energy into the design process We are an Equal Opportunity Employer M/D/F/V In compliance with the New York City salary transparency requirements, the potential salary for this position is from $85,000 to $87,000, which represents a range commensurate with experience, knowledge, and skills required.

Be part of an amazing story. Macy’s is more than just a store. We’re a story. One that’s captured the hearts and minds of America for more than 160 years. A story about innovations and traditions…about inspiring stores and irresistible products…about the excitement of the Macy’s 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We’ve been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work. Job Overview The Lead Data Scientist advances Macy’s enterprise data science strategy by leading complex initiatives that transform customer experience and business performance. This role manages group work, mentors data scientists, and partners with senior stakeholders to embed AI-driven solutions into critical workflows. By ensuring scalability and proof of value (POV), the Lead Data Scientist accelerates innovation and delivers measurable outcomes across the organization. What You Will Do • Lead the design and deployment of advanced data science and AI models for enterprise use cases that solve complex business challenges and influence strategic decisions., • Guide teams in applying Generative AI and Large Language Models (LLMs) to create intelligent, customer-centric solutions., • Oversee hypothesis generation, data requirements, and model development to ensure alignment with business priorities., • Evaluate proof of value (POV) for data science initiatives, determining scalability and pivoting strategies when needed., • Partner with senior stakeholders to translate analytics into actionable strategies that drive retail innovation., • Collaborate with Data Engineering and Architecture teams to implement robust, scalable data pipelines and enterprise data assets., • Ensure responsible AI practices, including governance frameworks and bias mitigation, in all deployed solutions., • Mentor and develop data scientists, fostering a culture of collaboration, technical excellence, and continuous learning., • Communicate insights through compelling visualizations and clear storytelling to influence decisions., • Stay ahead of emerging data science and AI trends to enhance Macy’s capabilities and competitive advantage. Skills You Will Need • Technical Acumen: Proficient in Python, R, SQL, and cloud platforms such as Google Cloud Platform; experienced with big data tools (Spark, Hadoop) and visualization tools (Tableau, Power BI); understands machine learning concepts and generative AI applications., • Stakeholder Management: Builds strong partnerships with business leaders to embed data science into decision-making processes and ensure adoption of solutions., • Communication: Delivers clear, compelling insights through written, verbal, and visual storytelling to diverse audiences. Who You Are • Brings 5+ years of experience applying data science in business environments, including experience leading group work and mentoring others; advanced degree preferred., • Demonstrates fluency in advanced algorithms, statistical methods, and AI techniques., • Experienced in regression, clustering, time-series analysis, and machine learning., • Comfortable influencing senior stakeholders and managing priorities in fast-paced environments., • Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.

B2B Sales Agent – Claw & Vending Machines (Soccer, Basketball & Rugby Venues) Location: New York City Compensation: Base salary ~$55,000+ performance-based commission (strong OTE of $110k+) Type: Full-time About Us: We’re a fast-growing sports & gifting brand bringing “mystery shirt” magic into the real world – via claw machines and vending machines packed with surprise soccer, basketball and rugby jerseys. We’re at the very start of this channel and our long-term ambition is to place 800+ claw and vending machines across the NYC metro, Northeast, and key US markets in high-footfall, sports-focused venues. Once we’ve cracked the US East Coast model, the plan is to expand this rollout nationwide – turning it into a serious global revenue stream. The Role: Your mission is simple: Get our claw and vending machines into great locations on a revenue-share model and turn those locations into long-term, high-performing accounts. You’ll be responsible for the full sales cycle – from identifying target venues, to getting in front of decision-makers, to negotiating terms and overseeing successful installs. This is a role for a closer with a track record, not a “starter”. If you know how to sell physical, space-taking products into venues (or similar), this will feel familiar – just more fun. What You'll be Doing: Sales & Business Development: Build and manage a pipeline of target venues, including: • Soccer stadiums and clubs (MLS teams, soccer-specific venues), • Basketball arenas and sports centers (NBA, college basketball facilities), • Rugby venues, sports bars and high-footfall leisure sites (arcades, attractions, student hubs, family venues, etc.), • Research and map decision-makers (centre managers, commercial managers, tenant coordinators, operations, etc.) and get in front of them via outbound (cold email, calls, LinkedIn, in-person visits)., • Pitch our claw/vending machine concept and revenue-share model in a clear, commercial way that makes it a no-brainer for the venue., • Create tailored proposals and negotiate commercial terms (revenue splits, minimum terms, placement, branding, etc.)., • Own the full sales cycle from first contact → proposal → negotiation → signed agreement → handover/installation. Account Management & Expansion Act as key point of contact for venue partners – check performance, resolve issues, and keep relationships warm. Monitor machine performance by location, flag under-performance early, and propose solutions (relocation, offer tweaks, creative changes). Identify upsell / expansion opportunities (more machines, better placements, additional venues in the same group). Execution & Operations Coordination: Work closely with operations to schedule machine installs, maintenance and replenishment. Ensure all venue requirements (H&S, insurance, risk assessments, branding guidelines) are captured and communicated. Feed back on what you’re seeing “on the ground” – what types of venues and positions work best, what objections are coming up, what offers resonate. Reporting & Targets: Own and report on a clear set of KPIs: machines placed, signed venues, average monthly revenue per machine, pipeline value, win rate. Keep CRM / pipeline organised and up to date – no black holes, no mystery deals. What We're Looking for: Non-negotiable: proven track record. We’re looking for someone who has already sold into venues / locations and can show it. Must-haves • 3+ years B2B sales experience with a strong new business focus (not just farming existing accounts)., • Proven success selling physical or location-based products or services, such as:, • Vending / amusement / arcade / gaming machines, • POS / kiosks / retail hardware, • Experiential / in-store activations, • Other space-taking installations into venues, • Confident negotiating commercial agreements and revenue-share models., • Comfortable being out on the road, visiting sites, walking a venue and spotting where something would perform best., • Strong communication skills – in-person, on the phone, and over email. You can explain the numbers clearly and get to a decision., • Highly self-motivated and comfortable working in a fast-paced, entrepreneurial environment with clear targets. Nice-to-haves • Existing relationships with stadiums, soccer clubs, basketball arenas, rugby venues, shopping centres, or leisure groups., • Experience working with landlords, asset managers, or centre managers., • Interest in soccer, basketball, rugby and fan culture – you “get” the product and the audience. What Success Looks Like in 12 Months • A healthy, visible pipeline of targeted venues with clear next steps., • A growing network of signed locations with machines installed and trading., • Real, measurable monthly revenue from the machines – and a clear view of which types of locations perform best., • A clear, data-backed rollout plan that makes scaling to hundreds of machines (800+ over time) across the US feel achievable, not hypothetical. Why This Role is Exciting: • You’re early in a new revenue channel – you get to shape how it works and help design the playbook that scales to 800+ machines., • Clear line between your work and visible, tangible results (machines on-site, fans playing, revenue generated)., • Base salary plus meaningful commission upside – the more you place and the better the machines perform, the more you earn., • Real scope to grow with the project – from NYC/Northeast rollout to nationwide and international expansion.

Reimagine what coffee can be. Reimagine what you can become. Let’s grow together. Join Nespresso as a Boutique Team Leader in the heart of NY on 59th Street! As an integral member of our retail store leadership team, your primary focus is delivering excellence in people leadership, sales, service, and operations. You will not only love to sell but also coach our sales associates to become customer experience and product knowledge experts. Your dedication to creating exceptional coffee experiences for our customers and celebrating wonderful team performance sets you apart. WHAT’S IN IT FOR YOU: • Competitive pay – Plus quarterly bonus for achieving team sales and service goals., • Growth and Development – At Nespresso, you have an opportunity to build a career that aligns with who you are. You will be supported in personal development and empowered to take ownership of your career journey., • Caring Culture – Nespresso is known for a culture that inspires you to be, feel and do your best, ultimately caring for our people in a supportive and collaborative team environment. Working with us is like a fresh cup of coffee – warm, welcoming, and revitalizing., • Purposeful work – As a B Corp we view coffee as a force for good. Enjoy work that is making a positive impact for humans and our planet. The approximate hourly pay for this position is $27.00. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to knowledge, skills, and abilities as well as geographic location. WHAT WE OFFER: Nespresso offers Retail employees, performance-based incentives, and a total rewards package, which includes a free Nespresso machine and coffee product allowance, a 401k with Company match, educational reimbursement, health and mental wellness programs, DE&I resource groups, commuter benefits, pet adoption reimbursement, employee recognition program and discounts at over 2,000 companies and much more! (Incentives and/or benefit packages may vary depending on the position) WHAT YOU’LL BE DOING: • Drive Results: Function as manager on duty, driving sales by maximizing overall store productivity and building customer relationships through exceptional experiences in a fast-paced environment. You will assist the ASM and SM in leveraging reporting and sales trends to help the store achieve key goals in sales, customer acquisition and service., • Customer /Hospitality driven: Cultivate personalized coffee experiences by using storytelling to share your knowledge of our coffee and our sustainability practices to build customer relationships. Delight our customers with complimentary coffee tastings and highlight your extensive product knowledge. Your expertise will help build our customer base and boost sales., • Inspiring People Leadership: Act to influence and inspire a team to drive sales and service performance through coaching and training., • Excellence in Operational Execution: Ensure store standards are maintained; cleanliness, visual merchandising, and operational tasks (inventory/stock management, TQM compliance, and cash processes) Care about safety and create a safe, healthy environment for our employees and customers., • Collaborative Team Player: Actively seek and provide feedback, build strong relationships with colleagues, and thrive in a collaborative team setting. You find ways to champion innovative ideas, adapt quickly to changes, and bring a growth mindset to creatively solve problems. WHAT YOU’LL BRING: • You have 2+ yrs. experience in driving sales and leading a team in a high-volume retail environment., • You have patience for day-to-day challenges and are resourceful in troubleshooting on the spot., • You have effective communication, time management and analytical skills., • You are punctual and available to work open and closing shifts, weekends, and holidays.

Warby Parker is seeking a Staff Software Engineer to lead the development of our search, recommendations, and personalization platform. You'll architect and build the systems that help millions of customers discover their perfect eyewear, working at the intersection of large-scale data processing, machine learning, and distributed systems. Reporting to the Senior Director of Engineering, you'll collaborate with Product Managers, Data Scientists, and cross-functional teams to design and deliver high-performance backend services that power product discovery across our retail and e-commerce channels. Your work will directly impact how customers find and engage with our products, requiring both technical excellence and strategic thinking to balance user experience, business objectives, and system scalability. What you'll do: • Be the technical leader of teams designing and developing world-class backend applications that power our business, • Promote the adoption of new technologies that advance and evolve our product, • Tackle challenges of scale though solid engineering practices and creative problem solving, • Ensure your products are resilient and meet well-defined service level agreements with client stakeholders, • Lead code reviews and help maintain high standards of code quality, • Exceed quality expectations through a strong test-minded approach at every step of the SDLC, • You have a degree in Computer Science or related field, or equivalent work experience with 7+ years in professional software development, • Has demonstrated experience building and scaling search, recommendation, and personalization systems in production environments, • An expert in high-level languages such as Golang, Python, or C# with deep understanding of their ecosystems and best practices, • Has a mastery of domain modeling, system design, and data architecture patterns relevant to information retrieval and machine learning systems, • Proficient in cloud technologies (particularly AWS), distributed systems, and service-oriented architectures with focus on high-availability and low-latency services, • Understand the full stack of modern recommendation systems including data pipelines, feature engineering, model serving, and A/B testing frameworks, • Well-versed in agile work processes and comfortable breaking down complex search and ML initiatives to deliver value incrementally, • A clear, concise communicator who can translate technical concepts for cross-functional stakeholders and influence architectural decisions, • Possesses a strong belief in accountability and holds engineering teams to high standards around code quality, testing, observability, and performance, • Demonstrated ability to deliver complex software projects with a high level of autonomy while mentoring others, • Experience with AWS cloud infrastructure, particularly services like OpenSearch/Elasticsearch, SageMaker, Personalize, or Bedrock, • Background in machine learning engineering, including model training, evaluation, and deployment pipelines, • Experience with vector databases and semantic search technologies For applicable postings, the range listed is a good faith estimate of the compensation for this position at the time of posting. Final compensation is thoughtfully determined by a variety of factors, including the candidate's qualifications, experience, internal equity, and relevant market data. For applicable postings, non-exempt employees are eligible for overtime pay if you are required to work more than 40 hours in a workweek. Some benefits of working at Warby Parker for full-time employees: • Health, vision, and dental insurance, • Life and AD&D Insurance, • Paid sick leave1, • Paid Holidays1, • Vacation days per year1, • Retirement savings plan (401(k)), • Parental leave (non-birthing parents included), • Short-term disability, • Employee Stock Purchase Plan, • Employee Assistance Program (EAP), • Bereavement Support, • Optical Education Reimbursement, • Free eyewear, • Employee Assistance Program (EAP), • Employee Stock Purchase Plan, • Free eyewear, • Paid sick leave2 If you are a California resident, please review the additional privacy disclosures available in Section 8 of our Privacy Policy, which provides a summary of how we collect, use, disclose, and share personal information about you and explain your rights under the California Privacy Rights Act ("CPRA"). It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. CO only: The application window for this position is anticipated to close on the apply before date listed. We encourage interested candidates to apply through our Career website. 1 WA only: Full-Time employees' paid sick leave is accrued at a rate of 1 hour per every 26 hours worked. Full-time employees receive 5 paid holidays and 5-10 vacation days per year (after waiting period, depending on tenure and hours worked). 2 WA PT only: Paid sick leave (accrued at a rate of 1 hour per every 30 hours worked). About Us: Warby Parker was founded with a mission: to inspire and impact the world with vision, purpose, and style. We're constantly asking ourselves how we can do more and make a greater impact, and that starts by reimagining everything that a company and industry can be. We want to demonstrate that a business can scale while doing good in the world, without charging a premium for it. And we've learned that it takes creativity, empathy, and innovation to achieve that goal. Since the day we launched in 2010, we've pioneered ideas, designed products, and developed technologies that help people see. We offer everything you need for happier eyes at a price that leaves you with money in your pocket, from designer-quality glasses and contacts to eye exams and vision tests, and you can meet us online, at our stores, or even in your home. Wherever and whenever you need it, we're there to make exceptional vision care simple and accessible. (Delightful, too.) Ultimately, we believe in vision for all, which is why for every pair of glasses or sunglasses we sell, a pair of glasses is distributed to someone in need through our Buy a Pair, Give a Pair program.

Our client, an international financial leader, is seeking a GenAI Developer to join their team. As a GenAI Developer, you will be part of the Data & Analytics department supporting cross-functional teams. The ideal candidate will demonstrate strong problem-solving skills, adaptability, and a collaborative mindset, which will align successfully in the organization. Job Title: GenAI Developer Location: Jersey City, NJ Pay Range: $85.00-$115.00/hr What's the Job? • Design and implement scalable data pipelines and ETL processes across structured and unstructured data sources., • Integrate data from various Enterprise SORs and workflow tools to create process-level visibility., • Build and maintain data models, warehouses, and lakes for analysis and reporting., • Collaborate with analysts and business teams to develop dashboards and real-time metrics., • 5+ years of experience in Data Engineering, Analytics, or Machine Learning/NLP focused roles., • Experience with process mining tools such as Celonis or UiPath Process Mining., • Proven experience with cloud-based data pipelines., • Strong understanding of SQL, Python, and data transformation tools., • Opportunity to work on innovative AI-driven projects that shape the future of process automation., • Collaborate with a diverse and talented team committed to continuous learning and growth., • Access to cutting-edge tools and technologies in AI and data engineering., • Engage in meaningful work that impacts organizational decision-making and efficiency., • Medical and Prescription Drug Plans, • Dental Plan, • Vision Plan, • Health Savings Account, • Health Flexible Spending Account, • Dependent Care Flexible Spending Account, • Supplemental Life Insurance, • Short Term and Long Term Disability Insurance, • Business Travel Insurance, • 401(k), Plus Match About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

About Discovery ManagementGroup Discovery Management Group leadsone of the nation’s most purpose-driven and people-centered senior livingorganizations, managing and enhancing senior living communities across theUnited States. With a focus on operational excellence, lifestyle personalization,and culture-driven leadership, we proudly serve residents and families withmore than 15,000 units nationwide and growing. As part of one of the largestsenior living families in the U.S., our communities have earned Great Place toWork® certifications from 2022–2026. At Discovery Management Group, purposeguides our work, culture fuels our success, and growth defines our future. Wecontinually aspire and invest in learning and development opportunities thatsupport our team members’ professional growth, ensuring every team member hasthe tools to build a meaningful and rewarding career. Our community is looking for a Dishwasher to join our team. Dishwasher Responsibilities: • Operates dish-washing machine to properly wash and sanitize all dishes, silverware, glasses, utensils, and cooking equipment., • Maintains clean, sanitary, clutter free and safe environment in food services areas by sweeping, mopping and pressure washing floors, cleaning and sanitizing dish machine., • Cleans production equipment as needed or directed by supervisor., • Maintains or exceed standards of appearance, cleanliness, hygiene, and health standards., • Follows daily and weekly cleaning schedules., • Practices all safety and loss prevention procedures., • Records and maintains documentation for the following measures for service standards and regulatory compliance., • High school diploma or equivalent preferred., • One (1) year previous experience preferred., • Ability to work flexible hours as needed. DiscoverySenior Living Earned Coveted Great Place to Work Certification for 2025-2026! Alarge part of what makes Discovery different from other companies in thisindustry is our willingness to embrace change. At Discovery Senior Living, weare constantly challenging how we are doing things to ensure the lifestyle weare offering our residents is absolutely the greatest value proposition in themarketplace. It’s just as important to us that the environment and culture forour team members are constantly refreshed. In addition, embracing and evenencouraging change brings a never-ending supply of new energy to our businessand our culture. That energy translates to other far-reaching positive impactson our residents as well as our team members. Findout what makes working at Discovery unique in the world of senior living. Discover Your Purpose! Our Culture& Values Sooften, what brings people together is deeply rooted in who we are and what westand for. And at Discovery Senior Living, we’re unified by certain, corevalues, which we call our “Pillars of Excellence.” They make up the fabric ofour company, and include TEAMWORK, INTEGRITY, PERFORMANCE, ACCOUNTABILITY,COMPASSION, HARD WORK and CREATIVITY. Individually, they are ourvirtues, and together, they make up a roadmap which helps us foster innovationand success. Benefits You’ll Enjoy For eligible employees, we offer acomprehensive benefits package that includes competitive pay, medical, dental,vision, life, and disability insurance, paid time off and holidays, a 401(k)with employer match, paid training and career growth opportunities,wellness-related benefits, and additional support through our EmployeeAssistance Program (EAP). Equal Opportunity Employer We are proud to be an Equal Opportunity Employer. Wecelebrate diversity and are committed to creating an inclusive environment forall team members. EOE D/V A Note to Applicants This job description outlines the general nature and levelof responsibilities for this role and is not an exhaustive list of all duties.Qualified individuals with disabilities, as defined by the ADA, must be able toperform the essential job functions with or without reasonable accommodation,as determined on a case-by-case basis. Agency Policy We do not accept unsolicited resumes from staffingagencies. Please refrain from contacting hiring managers directly. Employment Scam Warning We only post jobs on our official careers site and acceptapplications through that platform. We do not conduct interviews via text orsocial media or ask for personal or banking information. RegulatoryCompliance & Background Screening DiscoverySenior Living complies with all applicable federal, state, and local employmentlaws and regulatory requirements governing hiring practices, backgroundscreening, and workforce eligibility. Employment may be contingent uponsuccessful completion of state-mandated and/or federally required backgroundscreenings, which may include criminal history checks, fingerprint-basedscreening, Level 2 background screening, registry verification, and otherscreenings required for healthcare and senior living roles with direct orindirect resident access. Certainpositions may be subject to additional requirements under federal programs,including CMS, Medicare, and Medicaid regulations, as well as state-specificlicensing or regulatory agencies. Screening requirements vary by role andjurisdiction, and candidates must meet all applicable standards as a conditionof employment. These measures support regulatory compliance and help maintain asafe, secure environment for residents, families, and team members. Employmentin Florida is contingent upon completion of a Level 2 background screeningin accordance with Florida AHCA requirements. Applicants will be required tocomplete fingerprinting and background screening through the AHCAClearinghouse. For more information, please visit: ___. If having a direct impact on the lives of others is appealing to you, apply today and join our team! EOE D/V

Senior Distinguished AI Engineer 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. Team Description: 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. In this role, you will: * 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. * 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. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * 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. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * 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. * 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. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * 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 * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems * Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level * 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 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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, Applied Research Overview: 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. Team Description: 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. 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. In this role, you will: * 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. * 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. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * 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. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * 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. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * 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. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: * 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 * At least 5 years of people leadership experience Preferred Qualifications [choose applicable set based on focus of role]: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * 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) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens * Experience with common training optimization frameworks (deep speed, nemo) * Behavioral Models * PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) * Member of technical leadership for model deployment for a very large user behavior model * Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR * Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems * Experience with production real-time and streaming environments * Contributions to common open source frameworks (pytorch-geometric, DGL) * Proposed new methods for inference or representation learning on graphs or sequences * Worked datasets with 100m+ users * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large language models * 5+ years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model * Data Preparation * Numerous Publications studying tokenization, data quality, dataset curation, or labeling * Leading contributions to one or more large open source corpus (1 Trillion + tokens) * Core contributor to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Sales Territory: $318,100 - $363,100 for Sr Director, Applied Research Cambridge, MA: $350,000 - $399,500 for Sr Director, Applied Research McLean, VA: $350,000 - $399,500 for Sr Director, Applied Research New York, NY: $381,800 - $435,700 for Sr Director, Applied Research Richmond, VA: $318,100 - $363,100 for Sr Director, Applied Research San Francisco, CA: $381,800 - $435,700 for Sr Director, Applied Research 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

Pay Range: (Specific to OHI,DEL,NY,CA,CO,WA,MD,CT,IL,NV,,KY,MI,NJ,ME,MO,MA,MT) $23.06 - $27.56 Hourly About Brink's: The Brink's Company (NYSE:BCO) is a leading global provider of cash and valuables management, digital retail solutions, and ATM managed services. Our customers include financial institutions, retailers, government agencies, mints, jewelers, and other commercial operations. Our network of operations in 51 countries serves customers in more than 100 countries. We believe in building partnerships that secure commerce and doing that requires fostering an engaged culture that values people with different backgrounds, ideas, and perspectives. We build a sense of belonging, so all employees feel respected, safe, and valued, and we provide equal opportunity to participate and grow. Job Description Who We Are: Brink's U.S., a division of Brink's, Incorporated, is the premier provider of armored car transportation, currency and coin processing, ATM servicing and other value added services to financial institutions, retailers and other commercial and government entities. The company has a proud history of providing growth and advancement opportunities for its employees. We have a challenging opportunity for a Coin Processor - Warehouse. Who You Are: You are interested in being the backbone of modern finance by connecting banks and businesses around the world with solutions that keep them moving forward. We take pride in being the ones totaling the day's balance and offering new solutions that make our teams more efficient. With a strong mechanical/machine maintenance acumen and a high motivation, we lead the pack in Coin Processing. The Coin Processor - Warehouse Role: In branch locations around the world, we're doing the critical coin accounting work that keeps modern commerce moving. Our work is essential, so our team members are essential. We verify bank deposits, prepare shipments and connect money from one place to the next. We do it because it makes us proud - #BrinksProud. As a Coin Processor at Brink's, you'll work within our branch locations to account for the coin we transport to banks and businesses worldwide. Additional responsibilities include: • Guard and maintain the safety and security of our employees, vault, and liability at all times, • Process, verify, and reconcile inbound and outbound currency transactions, • Monitor all aspects of production, detecting, and resolving malfunctions with necessary procedures to ensure maximum quality and efficiency, • Monitor levels of coin bin at all times to maintain constant coin supply during production, • Complete preventative maintenance requirements and properly troubleshoot malfunctions, • Enter all verification activity into logs as processed, • All other essential and assigned job functions The Qualifications You Must Have: • Minimum of 18 years of age, • Able to lift at least 50 pounds, • Data Entry skills, • Money handling experience, • Customer Service experience, • Ability to work independently in a fast paced, ever-changing environment, • Ability to satisfactorily complete and maintain all required internal training applicable to the position. The Additional Qualifications We Prefer: • Previous banking or professional finance experience, • Previous experience working with machinery, • Military background Some Perks for You: • A strong, team-oriented culture, • The strength and stability of our 160+ year history, • Robust internal growth potential, • Some uniform and protective equipment provided, • Insurance: including health, dental, and life (full time only), • 401K with company match (full time only), • Paid Time Off (full time only) A Career Worth Building: At Brink's, we value our team members and offer our Coin Processors a fast-paced work environment. We invest in growth and opportunity by providing world-class training. We also believe in cross training our team members in order to ensure diverse skillsets and to promote the internal growth of our team members. What's Next? Upon completion of the application process (including the pre-hire questionnaire), you will receive an email confirming that we have received your application. We will review all candidates and will reach out to you directly should this role match your credentials. Thank you again for your interest in a career at Brink's U.S. For more information about future career opportunities, join our talent network, like our Facebook page or follow us on Twitter. You deserve the best! Discover what it's like to be #BrinksProud - complete the application to be considered for a Brink's Team near you! Brink's is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, marital status, protected veteran status, sexual orientation, gender identity, genetic information or history or any other characteristic protected by law. Brink's is also committed to providing a drug free workplace. What's Next? Thank you for considering applying for a job at Brink's. To be considered for this position, you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature. Upon completion of the application process, you will receive an email confirming that we have received your application. We will review all candidates and notify you of your status should we deem you fit for a job. Thank you again for your interest in a career at Brink's. For more information about future career opportunities, join our talent network, like our Facebook page or Follow us on X. Brink's is an equal opportunity/affirmative action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, marital status, protected veteran status, sexual orientation, gender identity, genetic information, or history or any other characteristic protected by law. Brink's is also committed to providing a drug-free workplace. We are an Equal Opportunity Employer and 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.

Pay Range: (Specific to NY,CA,CO,WA,MD,CT,IL,NV,,KY,MI,NJ,ME,MO,MA,MT) $23.06 - $27.56 About Brink's: The Brink's Company (NYSE:BCO) is a leading global provider of cash and valuables management, digital retail solutions, and ATM managed services. Our customers include financial institutions, retailers, government agencies, mints, jewelers, and other commercial operations. Our network of operations in 52 countries serves customers in more than 100 countries. Brink's has been a trusted partner in securing commerce for more than 165 years. Together, every Brink's Team Member is committed to providing the highest levels of service and support to our customers. We take pride in our work, and we share a passion about our future. Learn why so many people have made the choice to join our team - and stay here. We believe that our team should be reflective of the customers we serve every day around the world. We believe in building partnerships that secure commerce and doing that requires fostering an inclusive culture that values people with diverse backgrounds, ideas, and perspectives. We build a sense of belonging, so all employees feel respected, safe, and valued, and we provide equal opportunity to participate and grow. Job Description Who We Are: Brink's U.S., a division of Brink's, Incorporated, is the premier provider of armored car transportation, currency and coin processing, ATM servicing and other value added services to financial institutions, retailers and other commercial and government entities. The company has a proud history of providing growth and advancement opportunities for its employees. We have a challenging opportunity for a Coin Processor - Warehouse. Who You Are: You are interested in being the backbone of modern finance by connecting banks and businesses around the world with solutions that keep them moving forward. We take pride in being the ones totaling the day's balance and offering new solutions that make our teams more efficient. With a strong mechanical/machine maintenance acumen and a high motivation, we lead the pack in Coin Processing. The Coin Processor - Warehouse Role: In branch locations around the world, we're doing the critical coin accounting work that keeps modern commerce moving. Our work is essential, so our team members are essential. We verify bank deposits, prepare shipments and connect money from one place to the next. We do it because it makes us proud - #BrinksProud. As a Coin Processor at Brink's, you'll work within our branch locations to account for the coin we transport to banks and businesses worldwide. Additional responsibilities include: • Guard and maintain the safety and security of our employees, vault, and liability at all times, • Process, verify, and reconcile inbound and outbound currency transactions, • Monitor all aspects of production, detecting, and resolving malfunctions with necessary procedures to ensure maximum quality and efficiency, • Monitor levels of coin bin at all times to maintain constant coin supply during production, • Complete preventative maintenance requirements and properly troubleshoot malfunctions, • Enter all verification activity into logs as processed, • All other essential and assigned job functions The Qualifications You Must Have: • Minimum of 18 years of age, • Able to lift at least 50 pounds, • Data Entry skills, • Money handling experience, • Customer Service experience, • Ability to work independently in a fast paced, ever-changing environment, • Ability to satisfactorily complete and maintain all required internal training applicable to the position. The Additional Qualifications We Prefer: • Previous banking or professional finance experience, • Previous experience working with machinery, • Military background Some Perks for You: • A strong, team-oriented culture, • The strength and stability of our 160+ year history, • Robust internal growth potential, • Some uniform and protective equipment provided, • Insurance: including health, dental, and life (full time only), • 401K with company match (full time only), • Paid Time Off (full time only) A Career Worth Building: At Brink's, we value our team members and offer our Coin Processors a fast-paced work environment. We invest in growth and opportunity by providing world-class training. We also believe in cross training our team members in order to ensure diverse skillsets and to promote the internal growth of our team members. What's Next? Upon completion of the application process (including the pre-hire questionnaire), you will receive an email confirming that we have received your application. We will review all candidates and will reach out to you directly should this role match your credentials. Thank you again for your interest in a career at Brink's U.S. For more information about future career opportunities, join our talent network, like our Facebook page or follow us on Twitter. You deserve the best! Discover what it's like to be #BrinksProud - complete the application to be considered for a Brink's Team near you! Brink's is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, marital status, protected veteran status, sexual orientation, gender identity, genetic information or history or any other characteristic protected by law. Brink's is also committed to providing a drug free workplace. What's Next? Thank you for considering applying for a job at Brink's. To be considered for this position, you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature. Upon completion of the application process, you will receive an email confirming that we have received your application. We will review all candidates and notify you of your status should we deem you fit for a job. Thank you again for your interest in a career at Brink's. For more information about future career opportunities, join our talent network, like our Facebook page or Follow us on X. Brink's is an equal opportunity/affirmative action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, marital status, protected veteran status, sexual orientation, gender identity, genetic information, or history or any other characteristic protected by law. Brink's is also committed to providing a drug-free workplace. We are an Equal Opportunity Employer and 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.

Applied Researcher I (AI Foundations, LLM Core and Agentic AI) Overview: 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. Team Description: 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. In this role, you will: * 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. * 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. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * 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. * 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. * 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. * 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. * 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. * Has a deep understanding of the foundations of AI methodologies. * 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. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * 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. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * 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 Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * 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) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. 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. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Francisco, CA: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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 (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) 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. Team Description: 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. What you’ll do in the role: 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: * 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. * 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). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * 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. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * 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. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 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). 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. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer 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. 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. 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. This role is expected to accept applications for a minimum of 5 business days. 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. 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 . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to 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. 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).

At Roche's AI for Drug Discovery (AIDD) group, we are revolutionizing drug discovery with cutting-edge machine learning (ML) techniques. We are seeking a Machine Learning Scientist to join the Foundation Models team within Prescient Design (gRED). You will work at the intersection of engineering and

The expected salary range for this position, based on the primary location of San Francisco, is $147,800 - 274,400 of hiring range for the Senior Scientist, and $172,400 - 320,200 for the Principal Scientist. For the primary of location of New York City, $141,300 - 262,500 for the Senior Scientist,

The expected salary range for this position based on the primary location of California for the Machine Learning Engineer is $147,600, - $274,000 and New York is $141,100 - $262,100, and the Senior Machine Learning Engineer for California is $167,400 - $310,800 and New York is $160,100 - $297,300. M

Job DescriptionMaintenance MechanicPosition Summary: We are seeking a skilled Maintenance Mechanic responsible for troubleshooting, repairing, and maintaining manufacturing equipment and production systems. This role supports daily operations by minimizing downtime and ensuring all machinery is operating safely and efficiently. Key Responsibilities: • Perform preventative, predictive, and corrective maintenance on production equipment, • Troubleshoot mechanical, electrical, pneumatic, and hydraulic systems, • Repair and replace defective components including motors, conveyors, belts, valves, and bearings, • Read and interpret blueprints, schematics, and technical manuals, • Conduct routine inspections to identify potential equipment issues and implement solutions, • Complete work orders, maintenance logs, and documentation in maintenance systems (CMMS if applicable), • Support equipment installations, upgrades, and changeovers, • Fabricate or modify machine parts as needed using shop tools (welding, machining, etc.), • Communicate with production teams regarding equipment status and downtime, • Maintain spare parts inventory and assist with ordering materials, • Follow all safety procedures including LOTO and maintain a clean work environmentQualifications:, • High School Diploma or equivalent; technical training preferred, • Experience in industrial or manufacturing maintenance, • Strong mechanical aptitude with working knowledge of electrical, hydraulic, and pneumatic systems, • Ability to troubleshoot and repair production equipment independently, • Ability to read blueprints and technical diagrams, • Experience using hand and power tools and precision measuring equipment, • Strong problem-solving skills and attention to detail Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program About Aerotek: We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meets their goals, skills and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role solving for companies’ construction, manufacturing and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are everything spirit to the test as your career continues to grow. Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance, health advocacy and employee assistance programs, a 401(k) plan, and employee discounts. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. Company DescriptionWe know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.

SHOWROOM COORDINATOR / CONCIERGE: As the voice and face of the company, we are looking for someone to leave a positive first impression on our clients. The client experience begins at the front desk, and it is here that we must portray our values and strengths as a company, by providing a personalized, efficient and pleasant experience for every client. Acting as a liaison with the sales teams, this role is crucial to the sales experience for everyone. MAIN TASKS & RESPONSIBILITIES: This role requires someone that can be at the front desk each day, interfacing between clients and sales staff, phone and computer. From this location, they are required to: • Provide front-desk customer service to clients., • Set the tone for a professional/positive experience., • Greet and route all incoming clients (phone or in person)., • Act as the liaison between the clients and sales teams., • ‘Diagnose’ and collect preliminary information from the client to then relay to salesperson (act as a first filter and add value to the experience)., • Run all credit card sales using the credit card machine and close out end of day., • Manage daily office calendar (appointments/absences/trainings…), • Run daily/weekly/monthly reports from the system as support to the sales teams., • Provide support to the sales teams for all front-office needs., • Monitor leads email and route requests accordingly., • Become familiar with the showroom product to help service the client when needed., • Ensure that someone is covering the front desk at all times. Inform when stepping away for lunch or break, so others can cover. QUALIFICATIONS: Candidate must have/be: • Good language skills, professional tone and vocabulary in English., • Personable and service oriented., • Professional presentation and manner of dress/style., • Good communicator, both verbally and in writing., • Computer skills for email and calendar (Microsoft office)., • Organized and pays close attention to detail., • Basic accounting skills., • Legal status to work in the United States., • SAP knowledge a plus. SAP skills needed as part of the role. Training provided., • Design enthusiast a plus. CHARACTERISTICS: The right candidate: • Is sociable and enjoys being around people., • Thrives in a fast-paced environment, interacting with different people and personalities., • Is mindful and respectful of their impact on the overall client experience., • Is team oriented and has the ability to multi-task., • Takes ownership of their position and demonstrates initiative to problem solve., • Proactive attitude and spirit. COMPENSATION & BENEFITS: • Salary based on experience, • Competitive medical and dental insurance, • Generous accrued Paid Time Off, • Commuter benefits, • Flexible Spending Account (FSA) after six months of employment, • 401k available after 12 months of employment EMPLOYMENT TYPE • Full-time, Monday-Friday, 8am – 5pm, • In person, Flatiron District, Manhattan

About Pret A Manger: Building the US Future of a Beloved Global Brand Pret US is at a defining moment. Backed by substantial investment and strategic commitment, we are not simply operating; we are transforming a beloved brand in the American market. With a newly established US Board and an entirely rebuilt senior leadership team, we are assembling exceptional talent to drive this ambitious vision forward. This is an opportunity to join a winning team built on an ownership mindset, rapid learning, bias for action, and competitive drive. Our ideal candidates are resilient, flexible, comfortable with ambiguity, and data-driven. We are seeking leaders who thrive in dynamic, high-stakes environments and are energized by the challenge of building something remarkable. As part of the Pret US team, you will work directly with seasoned leaders who understand turnarounds, scaling operations, and delivering results. If you are driven to exceed ambitious goals, make bold decisions, and build a brand that matters, this is where you belong. Join us in writing the next chapter of Pret in America. The Role As a General Manager at Pret, you are the hero of the shop. You oversee all aspects of shop operations from staffing and scheduling to inventory management, ensuring the business runs efficiently, profitably, and with heart. You are responsible for driving sales and profitability while creating a positive, inclusive, and high-energy environment where both guests and team members thrive. Our Managers are our in-shop Heroes. They protect the things that make Pret by keeping standards high, spirits high, and guests happy. When the shop gets busy, you lead from the front, whether that means rolling up your sleeves at the coffee machine (with training, of course) or diving into the P&L to improve margins. Key Responsibilities Own Full Shop Performance • Take full accountability for shop-level P&L performance, including sales growth, labor productivity, food cost, and waste control, • Drive strong transaction growth and operational efficiency, • Analyze performance trends and take decisive action to improve results, • Recruit, hire, and develop Assistant General Managers, Managers in Training, and hourly team members, • Create a culture of accountability, warmth, and high performance, • Conduct structured performance conversations and talent reviews, • Model Pret’s standards of hospitality on the shop floor, • Create a consistently warm, fast, and personal guest experience, • Coach in real time to improve service behaviors and guest engagement, • Ensure strict adherence to Pret’s recipes, food preparation standards, and product specifications, • Maintain high-quality, fresh food production throughout the day, minimizing waste while protecting availability, • Lead daily and weekly sales forecasting to accurately plan food production and labor, • Use historical data, sales trends, and upcoming promotions to optimize production levels, • Monitor waste and variance reporting, taking corrective action to improve forecasting accuracy, • Ensure full compliance with company policies, food safety, and health & safety regulations, • Maintain exceptional cleanliness and operational standards Qualifications Required Experience • 5+ years of management experience or equivalent leadership experience in restaurants, or hospitality environments, • Proven P&L ownership and financial accountability, • Experience developing and promoting internal talent, • Demonstrated ability to lead high-volume, fast-paced operations, • Ability to stand and walk for extended periods; lift, carry, push, pull, or move objects up to 50 pounds; bend, reach overhead, squat, kneel, and go up and down stairs as needed; safely maneuver through tight or compact spaces; operate restaurant equipment and handle tools such as tongs, pots, and pans with dexterity; work in environments ranging from hot to cold, including near open flames and occasional outdoor conditions; maintain close, distance, and peripheral vision; communicate continuously with team members; and work in a constant state of alertness while maintaining safe operations Education • Bachelor's degree Preferred Benefits & Salary • Competitive Salary + 20% Bonus Potential, • Medical, dental, and vision insurance plans to suit you and your family's needs, • Paid Time Off, • Complimentary Pret, • 401K enrollment, • The pay range for this role is $70,000 - $85,000. Compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and the specific work location of New York, New York, United States. In addition, you will be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.

Job Description Thermo Plastics is a leading manufacturer in the plastics industry, known for quality, innovation, and reliability. We are currently seeking a skilled Machine Maintenance Mechanic to join our maintenance team and help keep our production running smoothly. Responsibilities: * Troubleshoot, maintain, and repair plastic processing machinery and equipment * Perform preventative maintenance on machines to ensure optimal performance * Assist with equipment setup, changeovers, and calibration * Maintain maintenance logs and records * Ensure safety standards are followed at all times Requirements: * Mechanical experience in an industrial or manufacturing setting * Familiarity with plastic processing equipment is a plus * Strong problem-solving skills * Ability to work independently and as part of a team * Must be reliable and safety-conscious

HEAD OF PRODUCTION We are UNR — an award winning, tech-forward, full service creative production company that supports agencies, brands and distributors alike across all media, genres, channels and formats globally at scale. We are ambitious, growing and shaping the next era of integrated production. We bridge the gap between the entertainment and brand worlds, and are equally respected and acknowledged in both. We’re seeking a Head of Production to lead our global expansion, with a primary focus on North America. With studios in NYC, LA, DET & TOR, this person will lead our production teams, grow our revenue and represent UNR’s creative, strategic and cultural vision. This is the person responsible for ensuring UNR delivers world-class creative work across everything we make, operates effectively and efficiently with our external clients and our internal disciplines, and continues expanding our capabilities and reputation as a future forward, next generation production company. This is a leadership role for someone who thrives in a creatively driven, hybrid environment—part executive, part producer, part creative, part technologist and part culture-builder. ROLE OVERVIEW The Head of Production will oversee all production disciplines—Live Action, Photo, Post, AI, Experiential and Integrated Content—and serve as the primary executive steward for UNR’s creative output and production business. You will guide creative and strategic decision-making, manage senior client and agency relationships, build and optimize high-performing production teams, and drive commercial growth in each office. This role requires a solutions minded, creatively oriented, resourceful, practitioner who can operate within the work and the client meetings, not just above them. The ideal candidate brings diplomatic excellence, deep production and post production expertise, digital and generative technology knowledge, financial acumen and a highly collaborative leadership style. Our Unreasonable Head of Production will focus predominantly on always elevating Production & Post Production. This means a thorough understanding of the marketplace, interest and experience with well known production companies, best in class and emerging talent whether directors, DPs, editors, special effects talent, producers as well as the clients and their often complex needs in an ever evolving production environment. KEY RESPONSIBILITIES 1. Function Leadership • Provide overall production leadership for UNR — operationalising production capabilities, ensuring creative excellence and accuracy and diligence in delivery in all instances., • Serve as the senior-most representative in Production for UNR across all global clients, partners and agency collaborators., • Demonstrate thought leadership and practical implementation across AI and generative tech, video, post, social, photo, design and other emerging technologies., • Collaborate with global UNR leadership including Finance, Operations, Talent, etc. to align practice, culture and standards across all offices, clients and partners., • Serve as our public facing ambassador when it comes to clients, consultants, conferences, creative delivery and the community of production. 2. Oversight of Production & Post • Oversee production across all disciplines and formats—from brief, bidding, creative treatment, budgeting, shooting, editorial and finishing through execution and delivery—ensuring efficiency, profitability, and world-class quality and creative standards we are known for., • Provide management, guidance and oversight to Executive Producers, Integrated Producers and Post teams., • Create and uphold production frameworks, processes, project management and workflows using the latest tools, technology and software to their greatest effect. Demonstrate excellence in customization not just automation., • Maintain accountability for on-time, on-budget and on-scope delivery across the entire portfolio., • Drive the strategic adoption of Generative AI and machine-learning tools across the production lifecycle—from AI-assisted storyboarding and pre-visualization to automated rotoscoping, dialogue cleanup and "vanity" VFX in post—ensuring UNR remains at the frontier of production efficiency., • Move AI from "experimentation" to "standard operating procedure" by building robust guardrails for ethical AI use, IP protection, and quality control, ensuring that AI-enhanced outputs meet our world-class creative standards., • Be a leader in standardizing and optimizing the Adobe Creative Cloud ecosystem across all global hubs (NYC, LA, DET, TOR, LON), leveraging Adobe Creative Cloud, Workfront, AEM and Frame.io to ensure a Chase the Sun talent optimization, seamless asset sharing, real-time collaboration and version control across time zones., • Lead the ongoing evolution of our post-production stack, ensuring teams are trained on the latest Adobe features (such as Firefly-powered Generative Fill or AI-based audio enhancement) to reduce manual labor and maximize creative "maker" time. 3. Team Leadership, Development & Culture • Mentor and inspire all production personnel to produce the very best work across the entire production eco-system ensuring exceptional creative delivery and flawless execution., • Build the next wave of UNR talent: recruit, hire, coach, and develop producers, coordinators, creative production specialists and beyond., • Foster a proactive, highly creative, supportive, accurate and solutions-oriented environment. Build on our “maker’ mentality and craft culture., • Model leadership and mentorship at all times—setting the standard for how UNR shows up on set, with clients, and with each other., • Develop best-in-class client service and hospitality on behalf of UNR around productions, new studios, major industry events and conferences, etc. 4. Financial Management & Commercial Growth • Own the financial performance of production jobs including revenue forecasting, cost controls and profitability targets., • Partner closely with CEO, Finance & Operation to build regular business reports, revenue analysis and annual planning., • Create pricing models, rate cards, SOW frameworks, partnership agreements and scalable commercial systems., • Expand external client revenue within the Stagwell network; build relationships with brands, agencies and production partners to grow the UNR pipeline., • Adept at leveraging emerging production technologies to modernize workflows, reduce manual effort and elevate the quality and consistency of outputs. 5. Client & Agency Relationship Leadership • Serve as the senior point of production contact for key stakeholders at all Stagwell agencies, • Build long-term relationships with agency partners and external clients; ensure UNR is seen as an indispensable creative production partner., • Deliver executive oversight on pitches, treatments, creative decks, and major production approaches., • Champion a “find a way” mindset—warm, collaborative, fast and solutions-oriented. 6. Business Development & Brand Expansion • Showcase new talent, new projects, new technologies, new techniques that will help UNR develop new business., • Identify new revenue streams, new services, strategic partnerships and new categories where UNR can excel., • Attend industry events, festivals and emerging-tech environments on behalf of UNR, representing our capabilities and creative point of view. 7. Cross-Office Leadership & Travel • Maintain a strong presence across all N.A. offices; expect to be on the road visiting offices, sets, clients and partners, • Ensure cohesion across time zones, teams and active productions., • Train leadership, improve communication systems and ensure all offices work as one UNR. WHO YOU ARE • A seasoned production executive with 12–15+ years across live action, post, photo, animation integrated content and emerging/generative tech., • Experience beyond advertising agencies, very ideal in clear production first environments and/or in-house set ups., • A natural leader who balances creative ambition with operational rigor., • Comfortable balancing craft, commerce, creativity and culture., • Hands on vs hands off. Rolls sleeves up and works through problems on eye level., • Entrepreneurial, resourceful and excited to grow a new business., • A trusted advisor to agencies, directors, creatives and brand clients., • A mentor and culture builder—someone people love working with., • Calm under pressure; decisive; endlessly solutions-oriented., • Ideally based in New York, Detroit or Los Angeles.

Job Description We are a 70 year old Company located in a great and safe neighborhood in Brooklyn, servicing the NYC HI-rise building industries mechanical equipment. Reputable mechanical repair/machine shop with an extended field service fleet looking for a mechanic to join our team! Experience: We are seeking a industrial service technician to work on pumps and motors. Comfortable environment, and overtime available. Pay: 55k to 80K Benefits: • Company contributed medical, • Pension, Life Insurance, Employee Parking, Uniforms, Etc., • Paid holiday and vacationsApplicant must have minimum five years experience and must be willing to work overtime Salary based on experience

Title- Delivery Lead with Palantir Location- Jersey City, NJ Role- Fulltime Salary- $150K PA We are seeking a Delivery Lead to manage the end-to-end delivery of cutting-edge AI and data platform projects, including solutions leveraging Generative AI and modern data engineering architectures. This role requires strong coordination across cross-functional teams of Data Engineers, Machine Learning Engineers, Architects, and platform specialists to ensure successful implementation and business alignment. Key Responsibilities: • Lead full lifecycle delivery of data and AI solutions – from discovery and design through development, deployment, and adoption., • Collaborate with Solution Architects, Data Scientists, and business stakeholders to validate functional use cases and technical feasibility., • Manage technical risks, drive issue resolution, and ensure the quality and scalability of delivered solutions., • Oversee sprint planning, release management, and production deployment, including post-release monitoring and performance tuning., • Champion best practices in data governance, AI/ML lifecycle management, model interpretability, and ethical AI usage., • 8 +years of experience in delivering enterprise-scale data and AI projects, • Proven success in leading cross-disciplinary technical teams and implementing AI/ML solutions in production environments., • Strong grasp of data architecture, data pipelines, prompt engineering, model deployment, and evaluation metrics., • Excellent communication skills and ability to bridge technical and business teams effectively. Direct: 469-421-5604 , Ext- 218 • Linkedin URL:- ___ 6655 Deseo Dr, Suite 104,Irving, TX , 75039 •

Job Title - Delivery Lead Location - Jersey City (3-4 days per week) Salary - Up to 150k We are seeking a Delivery Lead to manage the end-to-end delivery of cutting-edge AI and data platform projects, including solutions leveraging Generative AI and modern data engineering architectures. This role requires strong coordination across cross-functional teams of Data Engineers, Machine Learning Engineers, Architects, and platform specialists to ensure successful implementation and business alignment. Key Responsibilities: • Lead full lifecycle delivery of data and AI solutions – from discovery and design through development, deployment, and adoption., • Collaborate with Solution Architects, Data Scientists, and business stakeholders to validate functional use cases and technical feasibility., • Manage technical risks, drive issue resolution, and ensure the quality and scalability of delivered solutions., • Oversee sprint planning, release management, and production deployment, including post-release monitoring and performance tuning., • Champion best practices in data governance, AI/ML lifecycle management, model interpretability, and ethical AI usage., • 15+ years of experience in delivering enterprise-scale data and AI projects, • Proven success in leading cross-disciplinary technical teams and implementing AI/ML solutions in production environments., • Strong grasp of data architecture, data pipelines, prompt engineering, model deployment, and evaluation metrics., • Excellent communication skills and ability to bridge technical and business teams effectively., • Palantir experience is a plus For more information on benefits and what we offer please visit us at ___

Senior AI Engineer New York, NY - 4 days onsite $250,000 - $275,000 + bonus; $400,000-$500,000 total THE COMPANY Harnham is partnering with a niche PE firm in the NYC area, which is looking for an experienced AI / ML Engineer. This person will be at the forefront of building AI automation applications for new ways at identifying automation and optimization opportunities throughout the portfolio. You'll partner with executive teams across the company and own generative AI, LLM and reinforcement learning modeling and deployment. RESPONSIBILITIES • Work closely with department heads to align on business goals, define machine learning challenges, and design effective ML solutions., • Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability., • Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing., • Stay informed on industry trends and advancements in generative AI, LLMs, agentic AI, deep learning, experiment with new model concepts, and run both offline and online evaluations., • Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use. SKILLS AND EXPERIENCE • BS/MS degree in Computer Science, Machine Learning or a related field., • Over 4 years of hands-on experience developing and deploying production-ready machine learning / deep learning / AI systems, covering the full model lifecycle—training, tuning, deployment, serving, and monitoring., • Background in Software Engineering required., • Enterprise-level application experience, ideally in real-time preferred., • Expertise in cloud infrastructure, machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments., • Experience as a tech-lead for scaling MLE teams preferred., • Commercial experience in smaller teams, scaling startups / scrappy environments a plus. BENEFITS The compensation package contains a base salary, bonus and a comprehensive benefits package. HOW TO APPLY Please register your interest by sending your CV via the Apply link on this page. KEY TERMS Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Private Equity | PE | Portfolio | Anomaly Detection | Fintech | Agentic AI | AI Agents | Software Engineering | Software Engineer

About Us At Biz2Credit, we seek individuals who are eager to join a dynamic and innovative fintech company on a mission to transform the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward. As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions. One of them is our Biz2X platform, a fully configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible. But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work. So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit. About the Role: The UX Designer will play a key role in shaping the user experience of Biz2X, our enterprise SaaS lending platform used by banks and financial institutions. You will translate complex financial workflows into intuitive, elegant, and scalable experiences. This role partners closely with Product, Engineering, Data, Sales, and Marketing to uncover customer needs, define value, and deliver solutions that are usable, viable, and impactful. You will work across both Biz2Credit (small business lending) and Biz2X (enterprise SaaS), engaging directly with clients and internal stakeholders to design workflows, interfaces, and systems that improve speedtodecision, operational efficiency, and borrower experience.‑to‑decision, operational efficiency, and borrower experience. Responsibilities • Build UX design across the full product lifecycle—from discovery and ideation to detailed design and implementation., • Collaborate with cross functional teams to define user journeys, workflows, and interaction patterns. ‑functional teams to define user journeys, workflows, and interaction patterns., • Create wireframes, prototypes, user flows, and design documentation that clearly communicate intent., • Use data, user research, and competitive insights to inform design decisions and validate hypotheses., • Contribute to and evolve our design system to ensure consistency, scalability, and efficiency., • Partner with engineering to ensure high‑quality implementation and maintain design integrity., • Facilitate alignment across teams and clients through clear communication, storytelling, and influence., • Drive continuous improvement of the Biz2X experience across modules and markets. Qualifications • 1-3 years of experience in UX/Product Design, preferably in SaaS or enterprise software., • Strong portfolio demonstrating complex workflow design, interaction design, and modern UI execution., • Proficiency with Figma, Sketch, Adobe XD, or similar design tools., • Experience working with design systems and component libraries., • Understanding of UX research methods and how to apply insights to product decisions., • Familiarity with front‑end technologies and how designs translate into development., • Experience working in agile product environments., • Strong visual, written, and verbal communication skills., • Ability to think logically, structure ambiguity, and design for both user value and business outcomes., • Experience with Jira, Asana, GitHub, or similar collaboration tools., • Experience designing for SaaS products; fintech or lending experience is a strong plus., • Experience collaborating with offshore development teams., • Exposure to AI/ML‑driven features or data‑powered workflows is a plus., • Experience with A/B testing, experimentation, and hypothesis-driven design.

Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

What You’ll Do: Provide personal assistance to the CEO and C-level executives Oversee day-to-day office operations to ensure a well-functioning and organized workspace Manage and track office budget and expenses Hold a position of trust and confidentiality Manage office supplies, deliveries, and facility-related needs Ensure ongoing office maintenance and resolve facility issues proactively Act as the point of contact for vendors, suppliers, and building management Collaborate with additional company office sites as needed Assist with onboarding new hires and general administrative support Support employee well-being initiatives and foster a positive workplace culture Plan and coordinate company events, holiday celebrations, and team activities Welcome and assist guests and visitors Who we are: EX.CO is the video technology fueling growth for media leaders worldwide. Since we launched, our mission has been to shape the future of media technology, powering publishers’ business success in a rapidly changing reality. Today, we partner with leading media companies—including USA Today, Hearst Newspapers, Motorsport Network, The Arena Group (Parade, The Street), and Ziff Davis (Mashable) —to maximize revenue across every screen: web, mobile apps, CTV, and DOOH. Our technology combines an online video platform with a machine learning-based yield engine, giving media owners the control, scale, and transparency they need to thrive. What drives us is simple: we’re stronger together, always evolving, and radically transparent. Collaboration fuels our best work, innovation keeps us ahead, and honesty builds lasting trust with our colleagues, partners, and customers. We are proudly backed by The Walt Disney Company, Saban Ventures, Viola Group, 83North, and others. Now we’re growing our team—and that’s where you come in. We’re building a place where talented people make an impact, ideas spark change, and everyone has a seat at the table. What We’re Looking For: 3–5 years of experience as an Executive Assistant Proven experience in office management, administration, or similar roles Excellent communication and interpersonal skills Strong organizational and multitasking abilities Comfortable working independently and taking initiative Proficiency in office software and tools (e.g., Google Workspace, Slack) What we offer: Competitive salary Health coverage (based on location) A flexible, hybrid work schedule in a dynamic and supportive environment Generous paid time off Stock options Company paid holidays Company paid sick leave Retirement savings plans Paid parental leave Volunteering days Employee referral program Training and development programs Casual dress code Women’s Employee Resource Group An innovative tech company at the forefront of machine-learning-driven video Hands-on experience working with high-impact digital assets Collaboration with a talented and diverse global team The pay range for this position in New York is $45,000–$55,000.