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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.

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.

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.

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

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.

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.

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).

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.

Job Description • Repair and/or replace machine parts daily while maintaining proper fluids and cleanliness of machinery, • Strong troubleshooting skills with mechanical, electrical, pneumatic, and hydraulic knowledge, • Repair of CNC controls, drives, motors, and mechanical assemblies, • Must be able to troubleshoot, diagnose and repair problems, • Possess the ability to change spindles, electronic boards, and all phases of maintenance, • Experience with Fanuc controls is a plus, • Preventative, predictive and reactive maintenance, • Basic maintenance tasks throughout the facility, • Requirements:, • High School diploma required, • Associate degree preferred (Electrical/Mechanical), • 3 years minimum CNC machine maintenance required, • CNC, PLC and servo drive experience preferredCompany DescriptionREQUIREMENTS • Must be a U.S. Citizen or a Green Card holder COMPANY OFFERS -\tGrowing Backlog -\tCompetitive Rate Structure (Depending on Ability and Experience) -\tTrainings -\tGreat Health, Dental and Vision Benefits, Life Insurance Package -\tProfit Sharing and Bonuses -\t401K Matching -\tSafety Equipment -\tModern Equipment and Attractive Shop -\tEqual Employment OpportunityREQUIREMENTS\r\n• Must be a U.S. Citizen or a Green Card holder\r\n\r\nCOMPANY OFFERS\r\n•\tGrowing Backlog\r\n•\tCompetitive Rate Structure (Depending on Ability and Experience)\r\n•\tTrainings\r\n•\tGreat Health, Dental and Vision Benefits, Life Insurance Package\r\n•\tProfit Sharing and Bonuses\r\n•\t401K Matching\r\n•\tSafety Equipment\r\n•\tModern Equipment and Attractive Shop\r\n•\tEqual Employment Opportunity

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

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.

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 ARE YOU DRIVEN? EverLine Coatings and Services is a premier line painting and maintenance company that proudly has a location in North New Jersey. We provide high quality line painting and pavement maintenance services for parking lots, roadways, parking garages and warehouses. In addition to painting services, we offer power sweeping, power washing, asphalt sealcoating, crack filling and more. With 110 franchise locations from coast to coast, we are transforming our industry and we aren’t slowing down! Learn more about how we got started on CBC’s Dragon’s Den (Canadian Shark Tank) here. Our success is a direct result of our dedicated team. Every employee at EverLine is committed to providing complete customer satisfaction in the delivery of our services. We work hard, have fun and have an amazing corporate culture. Our teams are DRIVEN. Dedicated, Resourceful, Integrity-Focused, Value-Based, Excelling, and Nourishing. Are you ready to make an impact? We are seeking a Pavement Maintenance Technician (PMT) for our North New Jersey crew. As the Pavement Maintenance Technician (PMT), you will perform a wide variety of projects for various clients across our region. This is a seasonal position, that begins mid-April and continues through the end of November with the opportunity of some winter work. Working hours are 40-50 hours per week with night, weekends and overtime work required. WHAT YOU’LL DO ● Use equipment to perform line painting, asphalt crack filling and sealcoating, power washing, epoxy flooring and more ● Plan and facilitate the production of a high-quality project ● Communicate job status daily with the Operations Manager ● Maintain a safe, hazard-free job site ● Additional tasks as required WHAT YOU BRING • A New Jersey driver’s license with a clean driving record (Driver’s Abstract is required) and a reliable mode of transportation, • Understand & solve Algebra level mathematics., • You are Self-Motivated, willing to learn and grow with us., • Mechanically inclined (small gas engines & tool maintenance knowledge), • Creative problem solver, • You have a sense of urgency to work efficiently, • Ability to work in a physically demanding role with lots of walking, bending and lifting (up to 75lbs), • Ability to work Overnight/rotating shifts/on-call as needed, • Willing to work overtime if needed, • Able to pass a background check for government contracted jobs, • Wear proper attire and employer-issued PPE (safety glasses, vests, gloves), • Safely operate equipment including but not limited to: Truck & Trailer, Line Stripers, Sealcoating Machine, Pressure Washer, Crack Sealing Machine, Concrete Saw & Asphalt Roller., • Fill out company reports as needed, • Be a team player, • Keep company trucks clean after use, • Use mathematic skills for new layouts, • Ability to understand & interpret blue prints/project plans, • Competitive wages and a flexible working schedule (time and a half for hours worked over 40 hours a week), • A challenging, fun atmosphere with a great team, • Training and advancement within the company, and opportunities to grow with us, • Clear advancement path, with growth milestones that can add up to $4 per hour to your base pay, and growth opportunities into other roles. EverLine is committed to diversity in its workforce and is proud to be an equal opportunity employer. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, national or ethnic origin, gender, age, disability, sexual orientation, gender identity and/or expression, marital or civil status, political affiliation, family or parental status, or any other status protected by the laws or regulations in the jurisdictions in which we operate. If you require accommodation throughout the application or selection process, we will make all reasonable efforts to accommodate. ARE YOU DRIVEN?

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.

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

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.

Job description: Job Title: Field Service Technician Category: Full-Time, Regular | Travel: Up to 100% Position Summary The Field Service Technician I serves as the primary on-site technical representative for a global leader in Plastics manufacturing Industry. This role requires extensive travel to perform installation, preventative maintenance, and emergency repairs on high-speed packaging machinery. The technician acts as a vital communication link between the client and the corporate engineering and project management teams. Key Responsibilities • Technical Support: Perform hands-on mechanical, electrical, and pneumatic troubleshooting. Study complex schematics and blueprints to diagnose and resolve equipment failures., • Installation & Commissioning: Lead the assembly, leveling, and power-up of new machinery at client sites. Perform quality inspections and ensure equipment meets performance specifications., • Client Training: Coach onsite operators and maintenance staff on machine functionality, safety protocols, and changeover procedures for different product formats., • Documentation: Complete detailed service reports, expense claims, and equipment acceptance forms within established deadlines. Audit spare parts inventory and recommend necessary orders to minimize downtime., • Collaboration: Interface with internal Engineering, Production, and Parts departments to resolve persistent technical issues or project-specific hurdles. Requirements & Qualifications • Education: Associate’s Degree in Electronics, Mechatronics, or a professional certificate in an industrial trade., • Experience: 2+ years of experience in the maintenance or service of automated equipment, preferably within the food, beverage, chemical, or industrial manufacturing sectors., • Technical Skills: Proficiency with hand tools, precision measuring instruments, and diagnostic software. Mastery of MS Office (Word, Excel, Outlook) for professional reporting., • Communication: Ability to maintain a professional demeanor under pressure and communicate effectively with international personnel and diverse management teams., • Logistics: Must possess a valid driver’s license and a clean driving record. Ability to manage complex travel itineraries and provide on-call support during weekends or emergencies. Physical Demands & Work Environment • Physicality: Regularly required to stand, kneel, and crawl in tight spaces. Must be able to lift up to 50 lbs and distinguish color-coded wiring., • Environment: Work is performed in active production facilities with exposure to moving mechanical parts, loud noise levels, and occasional electrical hazards., • Safety: Strict adherence to Lockout/Tagout (LOTO) procedures and the use of PPE (safety glasses, hearing protection, etc.) is mandatory. In addition to the Base, the position has the following benefits: • OT after 8 hours a day, • Per Diem of $75 a day, no receipts needed, • Incentive Program for Parts or Upgrades sold, • Standard perks such as mileage for personal car driven (seldom), loyalty programs kept by tech such as airlines, hotels, rental cars, etc.

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 ___

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: 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

Director of Maintenance – Bakery Manufacturing Role Summary The Director of Maintenance is responsible for providing strategic and hands-on leadership for all maintenance, reliability, and automation operations within the bakery facility. This role ensures the safe, reliable, and efficient operation of production equipment, utilities, and automated systems supporting 24/7 manufacturing. Success is demonstrated through measurable improvements in equipment reliability, repair efficiency, cost control, and safety. This role also develops and implements structured training programs to strengthen technician skills in troubleshooting, automation, controls, and reliability best practices. The Director of Maintenance leads preventive and predictive maintenance programs, manages breakdown response, oversees maintenance systems and inventory, and supports capital projects, construction, and equipment installations. This position requires strong technical expertise, disciplined leadership, and a proactive reliability mindset. Key Priorities · Drive equipment reliability and up time across all production and utility systems. · Establish a world-class preventive and predictive maintenance culture. · Lead maintenance teams with a strong focus on safety, accountability, and continuous improvement. · Support long-term automation and plant growth strategies. · Ensure compliance with food safety, electrical safety, and machine safety standards. Primary Responsibilities Maintenance & Reliability Leadership · Plan, manage, and continuously improve the preventive maintenance program to maximize equipment reliability and minimize downtime. · Direct and coordinate all corrective maintenance activities across production and facility systems. · Establish and lead structured root cause analysis (RCA) processes to eliminate repeat failures. · Develop, track, and analyze maintenance KPIs related to downtime, MTTR, MTBF, and PM effectiveness. Technical & Equipment Oversight · Provide technical leadership for bakery production equipment. · Ensure proper operation, maintenance, and reliability of compressed air, steam, water, and other critical utilities. · Oversee maintenance and performance of robotic systems and automated production lines, including pick-and-place robots, automated packaging, and material handling systems. · Develop and coordinate preventive and predictive maintenance strategies for the entire facility, reducing unplanned downtime and extending equipment life. · Coordinate preventive and predictive maintenance programs for all equipment. Projects & Capital Execution · Plan and manage construction-related maintenance projects, facility upgrades, and equipment installations. · Coordinate with engineering, contractors, and vendors to ensure projects are completed safely, on schedule, and within budget. · Support commissioning, start-up, and validation of new equipment and production lines. People Leadership & Development · Lead, mentor, and develop maintenance leadership and technician teams. · Lead training and skill development initiatives for maintenance technicians across all production and facility equipment systems. · Foster a culture of ownership, accountability, and continuous learning within the maintenance organization. · Partner cross-functionally with Operations, Engineering and Quality Teams. Qualifications Required · Bachelor’s degree in Electrical Engineering and/or Mechanical Engineering. · Minimum 10–15 years of maintenance experience in food manufacturing (preferred), pharmaceutical, or industrial manufacturing environments. · Minimum 5–7 years in a maintenance leadership or management role. · Strong technical knowledge of bakery or food manufacturing equipment and utilities. · Proven track record of implementing and improving maintenance and reliability practices. · Demonstrated leadership skills with the ability to lead teams in fast-paced, 24/7 manufacturing environments. · Strong communication, organizational, and problem-solving skills. · High work ethic, flexibility, and ability to multitask effectively.

Contract to hire position with a major financial firm. This position is hybrid to Newark, NJ As a Data Scientist on the Data Science team, 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 develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical 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. Here is what you can expect in a typical day: • Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Lead Data Scientist and Actuaries and the technical requirements specified by the Lead Data Scientist and Actuaries. • Perform hands-on data analysis, model development, model training, model testing, model deployment. • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques. • Write production-level code and partner with machine learning engineers to push development code into production. • Partner with machine learning engineers to productionized machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. • Work closely with the business and data science lead to recommend and develop models for GI financial underwriting, medical underwriting, marketing analytics and other business use cases. • Manage external vendors in the execution of the data science development process. 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[1]depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results. • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business. Create and test hypotheses for customer engagement and wellness programs. • Experience in research, designing experiments (ex: A/B testing), working with claims and customer experience data. An insurance actuary background is preferred but not required. • Ability to learn creative skills and knowledge on an on-going basis through self[1]initiative and solving challenges., • Excellent problem solving, communication and collaboration skills. Applied experience with several of the following: • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R. • Database Management System: Knowledge of how databases are structured and function in order to use them e8iciently may include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. o Knowledge of how to work with data from (do not build) o SQL skills (relational) - CORE / Initial Proficiency o Unstructured (NoSQL) o Graph / ontology (DB Graph) • Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning. • Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Di8erential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured). • 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, and monitoring machine learning models. Understanding and expertise in NLP (natural language processing). • Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher

Relocation assistance provided for non-local candidates (Newark NJ or Somerset, NJ) A rapidly growing consulting firm is seeking a Regional Safety Consultant to service clients in the region (primarily in manufacturing industries). This role will require 80% regional travel to client sites, with the remaining 20% remote/home-based. The organization has an award-winning and collaborative company culture and ambitious growth plans, with many opportunities for advancement and leadership. The role: • Develop and implement EHS&S programs and procedures and conduct comprehensive safety training for, • LO/TO, • Confined Space, • Machine Guarding, • Ergonomics, • Assist with permitting, monitoring, and reporting in compliance with local and federal agencies, • Conduct incident investigations and audits; recommend corrective/preventative measures where indicated, • Advise on risk management issues, including workers' compensation The candidate: • 3+ years of progressive EHS experience, preferably in manufacturing or consulting, • Bachelor's degree in Occupational Safety, Environmental Engineering, or related field (preferred), • Candidates with relative years of experience and no degree will also be considered, • Independent and self-driven, able to juggle competing priorities and thrive in a fast-paced environment, • Ability to travel frequently to client sites, including overnight stays (primarily within driving distance)

Machine Shop / Facilities Manager Location: Englewood, NJ Reports to: President Department: Production Direct Reports: Planner, Machinists, Assembler, Welder Indirect Reports: Purchasing Representative, Production Control Supervisor, Warehouse/Shipping & Receiving Supervisor, Assembly & Test Engineer About the Company Flowtec Group has partnered with a well-established rotating equipment and spare parts manufacturer on their search for a Machine Shop / Facilities Manager. Our client operates a multi-million-dollar precision manufacturing facility serving demanding industrial markets. Position Summary The Machine Shop / Facilities Manager is responsible for managing and continuously improving all operational aspects of the manufacturing facility. This is a hands-on, high-energy leadership role reporting directly to the President. Key Responsibilities • Ensure a safe, OSHA, and environmentally compliant workplace, • Manage facilities operations and lead modernization initiatives, • Supervise machinist, assembly, and welding personnel, • Coach direct and indirect employees to maximize morale, engagement, and productivity, • Utilize visual metrics to provide constant feedback on performance vs. plan and continuous improvement goals, • Own capacity, expense, inventory, and capital investment budgeting and forecasting, • Lead machine shop and test area capacity planning, • Manage all aspects of the supply chain, including supplier selection and contract negotiation, • Oversee critical shop activities including production planning, preventative maintenance, and continuous improvement, • Utilize EPICOR Release 10 ERP system to schedule and track production transactions, • Interface with customer representatives and third-party quality assurance organizations during shop inspections and customer witness testing, • Participate in the Quality Review Board, • Drive 5S and lean implementation, • Reduce slow-moving inventory and manufacturing costs, • Provide cost estimates for sales and engineering in support of proposal and product development activities Required Qualifications • Minimum 10 years of machine shop supervisory experience, preferably in a high-precision manufacturing environment, • Engineering degree or equivalent work experience, • Strong CAD/CAM, CNC, and manual machine tool knowledge and experience, • Basic knowledge of ASME welding and pressure vessel code requirements, • Ability to read engineering drawings and specifications, • Experience working within ISO or Military Standard Quality assurance systems, • Working knowledge of Microsoft Office, • Root cause analysis, problem solving, and corrective action implementation, • Basic understanding of casting techniques and casting quality control, • Continuous improvement mindset and drive, • Leadership and coaching skills, • Desire and aptitude to grow into more senior positions within the company

SVP, MLOps / DevOps Engineer – Full Time – Hybrid We’re partnering with our client, a fast-growing fintech firm, on a senior-level MLOps-focused hire to help build and scale the infrastructure behind their AI and machine learning platforms. This is a highly visible, hands-on role where you’ll sit at the intersection of engineering, data, and cloud; helping bring AI/ML models into production in a secure, scalable, and automated way. The priority here is MLOps first, supported by strong DevOps experience across AWS, Kubernetes (EKS), and GitLab CI/CD. What You’ll Be Doing • Build and scale MLOps pipelines across the full model lifecycle, • Help productionize AI/ML and GenAI (LLM) workloads, • Design and manage cloud infrastructure in AWS, leveraging Kubernetes (EKS), • Develop and improve CI/CD pipelines (GitLab) for ML and platform services, • Partner closely with ML engineers to bring models into production, • Drive automation, reliability, and performance across the platform, • Implement monitoring, governance, and security for AI workloads What They’re Looking For • 15+ years of experience in MLOps, DevOps, or platform engineering, • Strong, hands-on MLOps experience in production environments (key priority), • Deep experience with AWS (SageMaker preferred), • Expertise with Kubernetes/EKS and containerized environments, • Experience building CI/CD pipelines using GitLab, • Strong scripting skills (Python or similar) and Infrastructure as Code (Terraform), • Exposure to Generative AI / LLMs is a big plus, • Comfortable working cross-functionally in a fast-paced environment Why This Role • Opportunity to shape and scale AI infrastructure at a growing fintech, • High-impact, high-visibility role working across teams, • Strong compensation: $180K–$230K base + bonus + equity, • Hybrid model: 4 days onsite / 1 day remote (NYC area) By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: ___

Job title: Machine Learning Scientist (Quantitative Strategies) Salary: Up to $500,000 starting base + industry-leading guaranteed bonus and package. Location: New York - Hybrid (Up to 3days onsite per week). Client: • Globally leading quantitative investment manager and an early pioneer of systematic strategies in the 1990s., • Scientific and data-driven fund who have been at the forefront of computational finance for the last four decades., • Multi-disciplinary team of STEM-subject matter experts who deploy a collaborative approach to developing and executing quantitative and fundamental trading strategies across an array of asset classes and investment products. Role: • Following stellar performance in financial markets last year, this firm are scaling their quantitative research and trading capabilities in New York., • Given longstanding investments in ML, they’re in the process of developing and deploying the firm’s first suite of ML-driven strategies., • Seeking to apply a multitude of novel ML methodologies from LLMs, DNNs, CV to more traditional frameworks in Statistical ML to an array of complex and noisy data., • Role entails holistically contributing to the research lifecycle including alpha signal generation, understanding risk and maximizing profitability of quantitative trading strategies. Required skills: • Advanced degree in STEM or another highly quantitative discipline., • Proficient knowledge of novel areas of ML including but not limited to GenAI, LLMs, DNNs, CV, Agentic AI and more traditional forms like Statistical ML., • Capable across topics in algorithms, data structures, probability and statistical analysis., • Extensive experience of dealing with noisy data challenges., • Proficiency in either Python or C++. Desirables: • Strong ML-related publications in top conferences or peer-reviewed journals including ICML, NeurIPS, AISTATS and CVPR., • Best Paper Awards or Impact accreditations across ML., • Direct experience of translating mathematical models to production-level code. If this opportunity is of interest, please apply direct or email me at .

LLHRS is working directly with the partner of an elite NYC litigation boutique who is seeking talent for their high-profile, high impact cases. Details below: • Recent cases span everything from celebrity defense in headline-making trials, to multimillion-dollar contract disputes in the entertainment industry, to groundbreaking intellectual property appeals. One week you might be drafting a brief on a cutting-edge IP issue, the next you’re prepping a key witness for a high-profile trial. It’s the kind of work that gets reported in the news, and you’ll be a critical part of it., • All associates operate as true generalists, meaning you won’t be pigeonholed; you’ll handle a mix of trial and appellate work across diverse areas., • Culture-wise, this firm is tight-knit and dynamic. The partners are ex-BigLaw heavyweights (including a former SCOTUS clerk and a former BigLaw NY practice head) who have built a team that’s collegial, mentorship-focused, and laser-focused on excellence. They’ve cultivated a reputation for being fearless in court and creative in strategy, and they’ve got the awards to show for it (think top boutique rankings and trial-of-the-year honors). As an associate, you won’t be a small cog in a big machine – you’ll have a voice at the table, significant client contact, and the chance to truly hone your craft by working closely with some of the sharpest litigators in the game., • The firm’s billing expectation is reasonable for this caliber of practice – targeting about 1800–1900 hours., • Salary will be in the low 200s with a discretionary bonus in the 5-figure range., • Enjoy the flexibility of a 3/2 hybrid work arrangement. All submissions are confidential. Equal Opportunity Employer/Veterans/Disabled To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ___ The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: • The California Fair Chance Act, • Los Angeles City Fair Chance Ordinance, • Los Angeles County Fair Chance Ordinance for Employers, • San Francisco Fair Chance Ordinance

Do you want to help design the next generation of materials used for batteries, space exploration or water purification? Are you interested in getting a PhD? A position is available in Prof. Jacob Gissinger's group at Stevens Institute of Technology (nanocipher.org), for Fall 2026. The research will involve computational design of polymeric systems, such as polymer electrolytes, or high-performance polymers and composites for use in extreme environments. Prerequisites Applicant must not have a PhD. Applicant must hold a bachelor's degree before Fall 2026. American citizenship required for some projects. Why Stevens? We are a research-intensive university in a prime location. Quiet Hoboken is a 10-minute subway ride from downtown Manhattan. Responsibilities Be excited to do research. Be curious. Be willing to learn. Qualifications • Bachelor's degree in materials science, chemical engineering or related fields, • Programming skills in languages such as Python, • Ability to work in an interdisciplinary and collaborative environment, • Excellent written and verbal communication skills, • Background in computational materials science, machine learning and polymer engineering preferred Please direct any questions to Prof. Gissinger at . For more information about the group, visit nanocipher.org.

Job title: Utility Operator (Night shift) Location: 1249 Newark Turnpike, Kearny, NJ 07032 Pay: $24.86ph Shift: 5:45 pm to 6:00 am - 36/48 schedule Duration: Direct hire Interview: Onsite (1:30/2h hours - HR/Test/Site Tour) Required experience: • More than 1 year in Production and/or warehouse., • Steady work history. SUMMARY The Utility position is an hourly position, and reports to the Production Shift Supervisor. The employee is responsible for ensuring that the end process of producing quality shingles continues even during process upsets. The Utility ensures that only quality product makes it from the production line. Principal Duties and Responsibilities: SAFETY • Follow and enforce all safety rules and procedures, training, and initiatives., • Maintain good housekeeping in all work areas., • Participate on safety teams., • Engages in TPM activities, supporting the plant initiatives., • Actively leads and improves TPM processes., • Encourages new ideas to create best practices., • Supports pillar progress and addresses issues by submitting TPM tags ensuring continued progress for the plant. QUALITY • Perform laminator quality checks., • Compliant with the Layered Process Audit requirements, • Check measurements of shingles, • Ensure bundles are properly stacked when exiting autocatchers., • Evaluate viewing board., • Monitor and report unusual or suspect material issues., • Remove off-specification shingles from line., • Ensure that no granule build-up is falling onto bundles., • Remove splices., • Monitor levels and application of laminate and seal. PRODUCTION • Be familiar with the functions and components of the autocatchers., • Be familiar with all areas of operations., • Demonstrate Autonomous Maintenance (AM) ownership of equipment (5S - Sort, Set in Order, Shine, Standardize, Sustain; CIL- Cleaning Inspection and Lubrication Standards, etc.), • Strive to maintain TPM (Total Productive Maintenance) goals of zero losses, zero accidents, zero defects., • Clear machine jams, • Assist in cleaning all machines, as necessary., • Wrap or rewrap finished product as necessary., • Assist in lace-up procedures., • Handle, stack, weigh, mark, and store product in proper location, • Perform Preventive Maintenance (PM) or downtime cleaning and Autonomous Maintenance (AM) activities., • Perform process stops actions., • Display shingles on viewing board every hour and during color changes, • Assist Utility team members to keep front end of line running smoothly., • Relieve Utility team members for break periods., • Visibly verify completion and submission of operator paperwork, • Participate in process teams (Ex. TPM), • Perform assigned housekeeping tasks., • Shrouding Finished Product SKILLS AND ABILITIES • Must be able to read Human Machine Interface and understand control of Accumulator Conveyor, • Must be able to read, write, and speak English., • Must be able to work at a rapid pace in a high-speed manufacturing environment., • Must be able to work all shifts including nights., • Regular attendance, timeliness, and scheduling flexibility are required., • Must have the ability to do basic mathematical calculations., • Must be able to work with a computer to perform basic data entry., • Must be able to obtain a forklift license. COMPUTER AND SOFTWARE COMPENTENCIES • Must be able to operate a computer or other keyboard instrument. EDUCATION • Minimum high school diploma or equivalent ESSENTIAL PHYSICAL REQUIREMENTS/WORK ENVIRONMENT • Exposure to temperature extremes, • Exposure to sounds or noise levels that may be uncomfortable., • Exposure to dust, dirt, fiberglass particles, and fumes, • Prolonged standing for 8 – 16-hour shifts, • Mandatory overtime as required., • Repetitive movements, • Frequent climbing, bending, twisting, and lifting., • Handle, control, and feed product, • Ability to frequently move 40-100 pounds (lift over 40 pounds only with a team member) ADDITIONAL REQUIRED TRAINING • All annual safety and role specific training, as required by the nature of this position., • Initial TPM AM Steps and additional training as site progresses., • Engages in TPM Activities, supporting in plant initiatives., • Actively leads and improves TPM processes. The involvement in TPM (Total Productive Maintenance) is mandatory. This is a system by which we improve our everyday processes and quality of work.

SailPoint is the leading, AI-driven security platform providing the autonomous governance that best solves the needs of the modern enterprise. By harnessing the power of AI and machine learning, SailPoint automates and streamlines the complexity of delivering the right access to the right identities and technology resources at the right time. Delivered at the scale our enterprise customers demand. We are proud of our team and the culture we have built, which has led to our employees voting us “best places to work” – 15 years in a row. The role: SailPoint is seeking an Advisory Solution Consultant (pre-sales Solution Engineer) to support the US Northeast sales regions for Strategic accounts. You will partner with our sales teams by applying your technical abilities and business acumen in support of SailPoint’s growth objectives. Responsibilities: • Actively participate in the sales process and work closely with the direct and channel sales teams, • Discover and understand customer requirements and align our solutions to those requirements, • Present SailPoint business functions, value, and competitive differences, • Provide product demonstrations to prospective customers, • Assist in developing RFP responses in coordination with our RFP response team, • Participate in onsite and remote Proof of Value (POV) evaluations, • Provide feedback to Product Management on product enhancements Requirements: • 5+ years of professional experience as a pre-sales technical resource in an enterprise software company (B2B), • Excellent written and verbal communication skills, • A working knowledge of technical infrastructure, including web services, application servers, databases, virtualization, and directories is required, • Conversant in modern SaaS architecture and familiarity with IaaS platforms such as Azure/AWS/GCP, • Experience with APIs and API tools such as Postman, Agentic AI technology such as Amazon Bedrock AgentCore, Google Vertex, Azure Foundry, Salesforce Agentforce, etc., LLMs, MCP, RAG, Java, XML, LDAP, SQL, and JSON is desirable, • 3+ years working with Identity, Governance, and Access Management solutions is preferred Path to Success: Within the first 4 months, you will: • Learn the Identity Security and Identity Management space, • Participate in demo best practices training, presentation skills training, negotiation,, • Handle initial demos and discussions in IGA, • Attend Revenue Onboarding for a deep dive into Challenger Sales training, • Hone technical discovery skills through SE Scrum groups, • Pitch to Account Executives (AEs) to master messaging and build relationships, • Navigate internal relationships with Customer Success Managers, Product Management, Professional Services, and Partners, • Coordinate with AEs before and after client calls, tying what is presented back to business value Within 6 months to 1 year, you will: • Contribute to building new technical collateral for organization-wide use, • Grow familiarity with IT audit functions, regulatory frameworks, SOX, HIPAA, NERC-CIP, GDPR, and CCPA, • Speak at national or regional conferences and meetups, • Proactively network and build your own personal brand, • Articulate the business value of SailPoint as a strategic sale, • Communicate at the business level with clients outside of IT, such as HR, Finance, risk management, counsel, and lines of business, • Be fluent in the language of Identity Security Location: • Residence in any Northeast state is required., • We anticipate 25% travel and flexibility to travel within the US (primarily in the Northeast states) will be necessary. Education: • BA/BS or global equivalent, • 8 years of related experience Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint. As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD): $116,900 - $197,083.60 Base salaries for employees based in other locations are competitive for the employee’s home location. Benefits Overview 1. Health and wellness coverage: Medical, dental, and vision insurance, 2. Disability coverage: Short-term and long-term disability, 3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D), 4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children, 5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account, 6. Financial security: 401(k) Savings and Investment Plan with company matching, 7. Time off benefits: Flexible vacation policy, 8. Holidays: 8 paid holidays annually, 9. Sick leave, 10. Parental support: Paid parental leave, 11. Employee Assistance Program (EAP) and Care Counselors, 12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options, 13. Health Savings Account (HSA) with employer contribution SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.

About Sigmoid Analytics: Sigmoid unlocks business value for Fortune 1000 companies through expert data engineering, data science, and AI consulting. We solve complex challenges for leaders in CPG, Retail, BFSI, and Life Sciences. With 10+ delivery centers in the USA, Canada, UK, Europe, Singapore, and India, we deliver cutting-edge data modernization and generative AI solutions. Join us to shape the future of data-driven innovation! Why Sigmoid? • Inc. 500 Fastest-Growing Companies (4 years running), • Deloitte Technology Fast 500 (4 years running), • Top Employer: AIM’s 50 Best Firms for Data Scientists Summary: The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this role, you will partner with senior client stakeholders, translate business challenges into data science solutions, review and guide offshore deliverables, and ensure delivery of high-quality outcomes. You will combine hands-on modeling expertise with client leadership, solution ownership, and team guidance to drive measurable business impact Provide clear guidelines for offshore development teams & own outcomes. You will nurture key client relationships to ensure client account success. Desired Experience : • 8–12 years of overall experience., • 3+ years in consulting or client-facing analytics roles., • 3+ years of experience in CPG or adjacent commercial analytics environments., • Proven experience engaging with senior stakeholders and leading client conversations., • Strong track record in data science, statistics, and machine learning Role & Responsibilities : • Develop and refine analytics & ML models and tools (e.g., Price Elasticity, iPPA diagnostics, Portfolio Simulators, TPO, TPM etc.) to support strategic RGM decisions, • Employ your analytical skills to decipher large datasets, and identify opportunities to enhance existing solutions, as well as develop new ones as scalable proof-of-concepts (PoC)., • Work closely with cross-functional teams, including data scientists, data engineers and product managers and business experts to ensure the smooth development of RGM models and translate outcomes to business stakeholders, • Collaborate extensively with business stakeholders to gather requirements, deeply understand challenges and identify opportunities., • Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data analytics and AI, • Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required., • Perform a role that involves a combination of hands-on contribution and customer engagement, • Contribute to organization building through training, mentoring, and developing repeatable analytic approaches Primary Skills (Mandatory) • Strong foundation in ML and statistical concepts., • Proficiency in SQL, Python, and PySpark., • Experience with Snowflake, BigQuery, Azure, AWS, or Databricks., • Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce, or customer analytics., • Ability to convert rigorous analysis into strategic recommendations., • Strong project management, communication, and team leadership skills, • Strong problem-solving skills and a creative mindset for disrupting how RGM analytics is conducted today. Be at the forefront of innovations in commercial analytics space Secondary Skills (Good to have): • Exposure to supply chain analytics, manufacturing analytics, or e-commerce analytics., • Data engineering / MLOps experience., • Dashboarding experience with Power BI or Tableau, • Exposure to Agentic AI / LLMs or any other Gen AI capabilities

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru, and beyond. At InMobi Advertising, you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit ___. Overview of the role: We are seeking a Vice President, Industry Relationships to lead our engagement across the advertising, policy, and regulatory ecosystem. This role sits at the intersection of ad tech, policy, and product, and will serve as a key external and internal voice on complex industry issues, including privacy, identity, measurement, and emerging AI governance. This leader will represent the company with trade bodies, standards organizations, and regulators, while also translating evolving external dynamics into clear, actionable strategies for internal teams. The ideal candidate brings deep fluency in ad tech mechanics, not just policy frameworks, and is equally comfortable influencing external stakeholders and advising product, legal, and commercial teams. The impact you'll make: • Represent the company across key industry forums, trade bodies, and regulatory discussions, building credibility and influence without a traditional lobbying posture, • Engage with organizations such as the Interactive Advertising Bureau, IAB Tech Lab, Association of National Advertisers, and other relevant industry groups and regulators like the FTC, CMA, EDPB, DG COMP, the AI Office, CFPB, FCC, ASA, JFTC, etc., • Lead conversations on complex topics, including privacy frameworks, consent signals, identity/addressability, measurement standards, competition concerns, and AI governance, • Translate ambiguous or evolving external developments into clear, actionable guidance for Product, Legal, Revenue, and Communications teams, • Partner closely with Product and Commercial leaders to ensure industry changes are reflected in product roadmaps and go-to-market strategies, • Serve as a trusted internal advisor on regulatory risk, platform policy changes, and industry standards, • Help shape the company’s point of view on critical industry issues and ensure consistent external messaging, • Build and maintain a strong network across regulators, platforms, and industry leaders, particularly within the New York ecosystem, • Identify emerging regulatory, policy, and industry trends that may impact the company’s technology, data practices, and business model, proactively shaping internal strategy and external engagement, • Collaborate with senior leadership to ensure the company’s perspective is effectively represented in industry initiatives, standards development, and cross-company collaborations, • Strengthen the company’s visibility and credibility across the broader advertising ecosystem by cultivating relationships with key stakeholders, including platforms, publishers, regulators, and policy leaders The experience we need: • 15+ years of experience in digital advertising, MarTech, media policy, or related fields, • Deep, hands-on fluency in ad tech mechanics, including identity, addressability, measurement, and data infrastructure—not just policy interpretation, • Significant experience engaging with trade bodies and standards organizations, • Strong understanding of regulatory frameworks, especially U.S. state privacy laws, Federal Trade Commission considerations, platform policies, and emerging AI governance, • Experience in senior roles such as General Counsel, Chief Privacy Officer, policy leader, or standards executive within ad tech or adjacent industries, • Demonstrated ability to translate complex external developments into practical business and product decisions (“operator mindset”), • Executive presence with the ability to navigate nuanced, high-stakes discussions with regulators, partners, and senior stakeholders, • Demonstrated credibility and influence within industry forums, policy discussions, or standards-setting bodies, • Strong ability to bridge policy, technology, and commercial considerations in order to guide strategic decision-making, • Experience working cross-functionally with product, legal, and revenue teams to translate industry developments into scalable platform capabilities or market strategy, • Based in New York, with an established network across the advertising and media ecosystem At InMobi, you’ll be surrounded by people who… • Think big and act fast: We’re entrepreneurial, thrive in ambiguity, and love solving high-impact problems, • Are passionate, fanatically driven, and take immense pride in their work: We care deeply about the impact we create and continuously push our potential, • Own their outcomes: We take responsibility, make bold decisions, and execute with confidence, • Embrace freedom with accountability: We value autonomy and understand that trust comes with responsibility, • Believe in lifelong learning: We welcome feedback, challenge ourselves to grow, and aren’t afraid to take smart risks Award-winning culture, best-in-class benefits Our compensation philosophy enables us to provide a competitive salary that drives high performance while balancing business needs and pay parity. We determine compensation based on a wide variety of factors, including role, nature of experience, skills, and location. The base salary (fixed) pay range for this role would range from $257,920 — $346,550 USD (min to max of base salary pay). This salary range is applicable to our offices located in California and New York*. In addition, an InMobian may also receive variable pay in the form of an annual variable bonus or quarterly variable bonus/sales incentive, as deemed per policy, in addition to fixed compensation. *Our ranges may vary based on the final location or region of the roles in accordance with the geographical differentiation in pay scales in the country. In addition to cash compensation, based on the position, an InMobian can receive equity in the form of Restricted Stock Units. We believe that our employees/personnel should have the ability to own a part of the entity they are a part of. Therefore, the entity employing you may elect to provide such stocks to you. Ownership of stock enables us to treat our employer company as our own and base our decisions on the company’s best interest at heart. To encourage a spirit of shared ownership, we grant InMobians relevant company stock(s). As you contribute to the growth of your company, certain stocks may be issued to you in recognition of your contribution. A quick snapshot of our U.S. benefits: • Competitive salary and RSU grant (where applicable), • High-quality medical, dental, and vision insurance (including company-matched HSA), • 401(k) company match, • Generous combination of vacation time, sick days, special occasion time, and company-wide holidays, • Substantial maternity and paternity leave benefits and compassionate work environment, • Flexible working hours to suit everyone, • Wellness stipend for a healthier you!, • Free lunch is provided in our offices daily, • Pet-friendly work environment and robust pet insurance policy - because we love our animals!, • Employee Assistance Program (EAP) If this sounds like the kind of team, role, values, benefits, and challenges that excite you, we’d love to hear from you. Go for it! InMobi is an equal opportunity employer InMobi is a place where everyone can grow. Howsoever you identify, and whatever background you bring with you, we invite you to apply if this sounds like a role that would make you excited to work. InMobi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

We are seeking a Senior Machine Learning Engineer to join the Foundation Model team to build the platform for autonomous scientific agents to automate and accelerate drug discovery. You will partner with Machine Learning Scientists to engineer the distributed systems that allow models to plan workfl

The expected salary range for this position, based on the primary location of San Francisco, is $167,400 - 310,800 of hiring range for the Senior Scientist, and $194,000 - 360,400 for the Principal Scientist. For the primary of location of New York City, $160,100 - 297,300 for the Senior Scientist,

PhD degree in Computational Biology, Computer Science, Chemistry, Physics or related disciplines, with up to 2 years of industry research experience (Scientist) or 2+ years of industry research experience (Senior Scientist). We are looking for exceptional machine learning scientists who want to perf

We are seeking talented engineers with a passion for building large-scale, distributed machine learning algorithms and systems that will transform the drug discovery process. AIDD's Foundation Model team is seeking an exceptional Machine Learning Engineer to develop the backend of our internal agent

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,

We are seeking an experienced AI Engineer with strong expertise in Generative AI, Machine Learning, and Large Language Models (LLMs).The ideal candidate will have a proven track record of building scalable AI systems and working in agile, distributed environments.Collaborate with product owners, scr

Enterprise Account Executive, NY Onsite - AI, SaaS Startup with Top Tier Investors - Meaningful Equity About the Role KIKU Growth Solutions is conducting a confidential search on behalf of a well-funded B2B AI company in New York City. We are looking for Enterprise Account Executives to join a small, elite founding sales team at a company that has established itself as the leader in AI-powered accounting automation. The company builds AI agents that perform complex, end-to-end work — at a speed and accuracy that isn't achievable manually. The majority of deals over the past year have been inbound. A major funding round was recently closed from top-tier institutional investors. This is a full-cycle role; AEs own the process from first contact to signature. The team is small now and will scale significantly. People joining at this stage will have a direct hand in building the playbook and a clear path to leadership. What You'll Do • Own the complete sales cycle from prospecting through close with no hand-offs, • Lead discovery with senior partners at professional services firms, Chief Accounting Officers, and CFOs, • Partner with embedded technical subject matter experts (domain specialists who support complex demos and objection handling), • Manage multi-stakeholder deals over several months, including a structured pilot phase, • Contribute field insights to Product, Engineering, and GTM teams to influence roadmap What We're Looking For • 3–8 years of full-cycle, quota-carrying B2B SaaS sales experience (enterprise or upper mid-market), • Verifiably in the top 10% of your sales organization — President's Club, consistent quota outperformance, or clear performance proof, • ACV history of $50,000 or more with multi-month, multi-stakeholder deal cycles, • Has sold to C-suite or partner-level buyers — CFOs, Chief Accounting Officers, or Senior Partners, • Intellectual and consultative communication style — this is a measured, sophisticated sale, not a high-velocity transactional motion, • Stable career history with clear progression, • Based in New York City; committed to 5 days/week in-office Bonus Points if you have... • Experience at a Series A/B/C startup during a growth phase, • Background in AI, machine learning, or fintech SaaS sales, • Familiarity with ERP or accounting software ecosystems (NetSuite, Sage, etc.) — a significant differentiator, • Finance or accounting background (FP&A, banking, etc.) Compensation & Logistics • Base: $110,000–$130,000, • OTE: $200,000–$300,000 (most current AEs at $225,000–$250,000), • Equity: Meaningful package included, • Location: New York City — 5 days/week in-office (non-negotiable), • Visa sponsorship: Not available Interview Process AE screen (video) → Head of Sales call → Onsite (case study presentation + 1:1 team meetings) To Apply Submit your resume and include your targeted base and OTE; and confirm US citizenship and ability to work in NYC. The company name will be shared with qualified candidates after an initial conversation. Include bullet points outlining how you fit the role for best chances at an interview.

Company History The origins of Prym date back to 1530, making it one of the oldest family-owned industrial companies in the world. Founded by Wilhelm Prym as a goldsmith in Aachen, the company has shown remarkable resilience and adaptability throughout its nearly five-century history. In the mid-17th century, Prym relocated to Stolberg and shifted its focus to brass production. As demand for brass products declined, the company pivoted to machine production of metal haberdashery, establishing itself as a leader in this field. A significant milestone in Prym's history occurred in 1903 when Hans F. Prym developed the innovative s-spring press fastener, which revolutionized fastening solutions. This invention, produced in countless colors and shapes, has solidified Prym's reputation for quality and reliability, showcasing the company’s commitment to innovation. Today, Prym thrives with over 3,500 employees across 30 locations in 18 countries and 9 production sites. Under the William Prym Holding, four independent divisions operate globally, each catering to distinct market needs. Prym Consumer is the first choice for textile handicraft, Prym Fashion serves the fashion industry with exceptional customer service and tailored solutions, Prym Intimates offers innovative accessory solutions for lingerie, swimwear, and athleisure, while Inovan Prym specializes in unique engineering for metal and hybrid processing. As a majority-owned family business, Prym remains dedicated to its founding values while embracing the dynamic needs of its customers, playing a vital role in shaping the future of crafting and textile innovation. Summary/Objective The Account Executive drives strategic, profitable, long-term growth for existing customers, while building intentional sales development plans for acquiring new business. Essential Functions • Lead all aspects of sales for designated accounts with responsibility for growth and development of the business. Responsible for achieving sales revenue and profitability for Prym Fashion America accounts., • Develop and execute sales strategies by account to foster and grow business. Focus on acquiring new customer targets while nurturing strong relationships with current business partners., • Proactively manage business opportunities with individual customers to set Prym apart from our competitors., • Manage own costing strategies to align with team margin goals., • Collaborate with internal global team members in sales, customer service, finance, and product development., • Translate market trends and customer needs into measurable goals that build competitive advantage., • Self-motivated: Ability to take initiative and solve problems with the tools available., • Product Curiosity – deeply interested in product and interested in learning new categories., • Act as a team player and change agent., • Model the Group’s code of conduct and values., • Other duties as assigned Required Education and Experience • Bachelor’s Degree in Fashion, Marketing, Business Administration, or other related degree, • 5-8 years’ experience in the Fashion industry or a related field, • Must be proficient in MS Office products including Word, Excel and PowerPoint, SharePoint and Microsoft Teams, • Proven success in cross-regional projects or initiatives., • Sophisticated business and financial acuity needed., • Practical experience in researching new opportunities and implementing successful account penetration., • Excellent oral, written communication, and presentation skills., • Strong organizational skills-able to focus, prioritize and follow through. Preferred Education and Experience • Experience working within Fashion segments, • In-depth knowledge of the Fashion Industry and understanding of market trends. Supervisory Responsibility This position has no supervisory function. Career Path Progression from this position Sr. Sales Manager Travel This position requires up to 20% travel – mostly regionally in NY and/or domestic. Work Environment or Working Conditions This job operates in a combination of professional office and basement environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, and filing cabinets. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Physical Demands • Ability to lift 5 – 20 lbs. periodically and 50 lbs. on occasion, • Ability to stand/walk for up to 8 hours, • Ability to sit for up to 8 hours EEO Statement EOE/Vet/Disabled

Company Description Zealogics Inc specializes in IT and Engineering Services, providing innovative solutions across Mechanical, Electronics, and Software platforms to facilitate digital transformation. With a focus on customer-centric product strategies and automation frameworks, Zealogics streamlines processes to deliver high-quality results. Serving Fortune 500 enterprises and OEMs, the company prioritizes client satisfaction by connecting experienced professionals to address complex challenges. Integrity and a commitment to long-term partnerships define Zealogics, as they strive to provide their clients with tangible value and world-class services for both full-time and contractual needs. Role Description We are seeking an AI Automation QA Manager for a contract role with Zealogics Inc. This hybrid position, based in North Bergen, NJ, offers a combination of onsite and work-from-home flexibility. The AI Automation QA Manager will oversee automation quality assurance processes for AI systems, develop and manage testing strategies, and ensure software aligns with business requirements. Daily responsibilities will include leading automation testing efforts, collaborating across cross-functional teams, creating automation frameworks, and analyzing results to enhance continuous improvement processes. Qualifications • Proficiency in Automation Testing, developing QA methodologies, and creating test automation scripts, • Knowledge of AI and machine learning systems, algorithms, and frameworks, • Experience with test planning, design, and execution to validate software functionality and quality, • Strong abilities in problem-solving, debugging, and applying improvements, • Expertise with tools such as Selenium, JIRA, and similar QA automation platforms, • Strong communication, organizational, and time-management skills, • Ability to collaborate effectively with cross-functional teams and manage projects within deadlines, • Educational background in Computer Science, Engineering, or a related discipline (Bachelor’s degree preferred), • Experience in the IT or Engineering sector is advantageous but not required, • Familiarity with Agile/Scrum methodologies is a plus