Senior Ai/Ml Engineer Starr CompaniesSenior Ai/Ml EngineerNew York, NY$180,000–$200,000 / yearThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets: experience and training: licensure and certifications: and other business and organizational needs. 5+ years' experience with data science/machine learning techniques (e.g., logistic regression, hierarchical regression, decision tree, random forest, neural networks, etc.) and 2+ years of experience working with LLM.
NewBusiness Intelligence Developer New York UniversityBusiness Intelligence DeveloperNew York, New York$77,400–$94,600 / yearThe personnel of UDAR work university-wide as well as within individual schools and colleges of the University to discover, motivate, cultivate, solicit, and steward alumni, parents, faculty, and friends for immediate, long-range, and future financial support, through gifts and pledges to the University, for critical operations such as student aid, faculty support, academic and research program development, and facilities and infrastructure. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer.
Remote | PhD Machine Learning Research Scientist — $105–$140/hour 24-MagRemote | PhD Machine Learning Research Scientist — $105–$140/hourNew York, New YorkRemoteWe are sharing a specialised part-time consulting opportunity for PhD-level machine learning researchers with a demonstrated record of original frontier research and publications at ICML, NeurIPS, or ICLR. Selected researchers will contribute deep technical expertise across areas such as reinforcement learning, meta-learning, recursive self-improvement, and AI for scientific discovery.
Business Intelligence Manager Posillico Civil, Inc.Business Intelligence ManagerCollege Point, New York$150,000–$175,000 / yearFull timeThis role is responsible for overseeing the Business Intelligence team, driving a unified reporting strategy, ensuring data integrity across dashboards and reports, and building scalable analytics solutions aligned with business priorities. This is a people leader and strategic contributor role, partnering closely with operations, finance, technology, and executive stakeholders to advance a data-informed and AI-enabled culture.
Campus AI Research Engineer - Deep Learning (Full-Time) Jump TradingCampus AI Research Engineer - Deep Learning (Full-Time)New York, NYOur trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
AI Infrastructure Engineer BlackRockAI Infrastructure EngineerNew York, New YorkExperience supporting AI and machine learning workloads, with exposure to managed compute for model training and fine‑tuning, experimentation over large datasets, and end‑to‑end MLOps pipeline flow including data ingestion, training, validation and deployment. To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Senior Machine Learning Platform Engineer Charlie HealthSenior Machine Learning Platform EngineerNew York, NY$170,000–$220,000 / yearYou'll inherit and evolve existing infrastructure while building new platform capabilities—from multi-tenant model serving and GPU inference pipelines to multimodal data management, evaluation frameworks, observability, and infrastructure as code. Design, build, and operate production model serving systems; maintain infrastructure as code for reproducible ML environments, training pipelines, and deployment workflows.
Quantitative Researcher - Early Career (Usa) Trexquant InvestmentQuantitative Researcher - Early Career (Usa)New York, NY$120,000–$180,000 / yearAs a member of the Data Science team, you will be involved in parsing and analyzing large data sets, working on discovering and obtaining new sources of data and collaborating with the Alpha and Strategy team to build predictive machine learning models. As a member of the Alpha Researcher team, you will be involved in developing market-neutral signals, parsing and analyzing large data sets and collaborating with the Data and Strategy Research team to build a diverse set of predictive models.
Analytics Manager Forge GlobalAnalytics ManagerNew York, NY$120,000–$150,000 / yearpointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="request-WEB:47fb590f-5c3f-43aa-9e73-11c31a3810df-1" data-testid="conversation-turn-4" data-scroll-anchor="false" data-turn="assistant">. With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge's goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors.
NewSenior Software Engineer, AI (New York) Fitch Ratings IncSenior Software Engineer, AI (New York)New York, NY$140,000–$150,000 / yearStrong technical expertise in embeddings, vector databases for AI integration, and LLM integration/fine-tuning across platforms such as OpenAI, LLaMA; solid understanding of ML algorithms with production experience using frameworks and tools including FastAPI, PyTorch/TensorFlow, and MLflow. Collaborate and communicate effectively - Partner with cross-functional teams including product managers, engineers and business stakeholders to translate complex technical concepts, gather requirements, and ensure AI solutions directly address user needs and strategic objectives.
Lead Machine Learning Engineer Capital OneLead Machine Learning EngineerNew York, New YorkIn 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. Lead Machine Learning Engineer 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.
Sr Demand and Supply Planning Manager UVeyeSr Demand and Supply Planning ManagerTeaneck, NJ$150,000–$165,000 / yearDepending on the position, tasks may include extended periods of sitting, standing, or walking; working in and around vehicle service areas, rental facilities, dealerships, manufacturing sites, or warehouse environments; and performing occasional manual tasks such as lifting or carrying up to 40 lbs, bending, or reaching. With over $380M in funding and strategic partnerships with Toyota, Amazon, General Motors, JLR, Volvo, and Hertz, our technology is deployed across manufacturing plants, dealerships, wholesale auctions, fleets, and seaports worldwide.
Machine Operator NovolexMachine OperatorElizabeth, New JerseyFull timePrograms include company and industry training curricula, support for formal education through the Tuition Reimbursement Program (Non-Union), and a Learning Management System that supports and enhances employee skills at all levels of the organization. Novolex is a leading manufacturer of food, beverage, and specialty packaging that supports multiple industries including foodservice, restaurant delivery and carryout, food processing, grocery and retail, and industrial sectors.
Manager, Quantitative Analysis - Model Risk Office Capital OneManager, Quantitative Analysis - Model Risk OfficeNew York, New YorkCurrently has, or is in the process of obtaining one of the following with an exception that the required degree will be obtained on or before the scheduled start date: A Master’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience in quantitative analytics. As a Quantitative Analyst at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in cloud computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Staff Machine Learning Engineer Appgate IncStaff Machine Learning EngineerNew York, NY$180,000–$220,000 / yearThis is a hands-on technical leadership role, shaping our fraud prevention roadmap and ensuring the platform evolves to meet emerging threat patterns through automation, data intelligence, and generative AI-enhanced detection models. You will architect large-scale ML systems that detect and prevent fraud in real time combining deep machine learning expertise with scalable engineering and domain knowledge in financial systems.
Remote | Computer Science Research Expert (AI Benchmarking) — $55–$75/hour 24-MagRemote | Computer Science Research Expert (AI Benchmarking) — $55–$75/hourNew York, New YorkRemoteExpertise in one or more areas including GPU Kernel Engineering, Computer Architecture, Formal Methods, Distributed Systems, DevOps, Site Reliability Engineering, Data Engineering, Databases, Cloud Infrastructure, Operating Systems, Machine Learning Engineering, Web Development, APIs, Embedded Systems, Computer Graphics, Game Development, or Mobile Engineering. We are sharing a specialised part-time consulting opportunity for computer scientists, software engineers, and technical researchers with advanced expertise in computer systems, algorithms, Machine Learning, infrastructure, or software engineering.
Senior AI Engineer Tiger AnalyticsSenior AI EngineerJersey City, NJRemoteThe successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions.
Senior Full Stack Software Engineer - AI Applications Consumer ReportsSenior Full Stack Software Engineer - AI ApplicationsYonkers, New YorkWe are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. You’ll report to the Associate Director, AI/ML & Data Science and work closely with AI/ML engineers and data scientists to bring models, APIs, and data pipelines into production-ready experiences.
Technical Product Manager - Fraud Felix TechnologiesTechnical Product Manager - FraudNew York, New YorkDefine & Execute Risk & Fraud Product Strategy – Work with Risk leadership to develop and own the Risk Product roadmap, focusing on unifying disparate fraud domains into a single, scalable platform for detection, prevention, and other risk management capabilities. Proven technical fluency & resourcefulness – ability to work with engineering teams on API-based fraud prevention solutions, demonstrated ability to run simple SQL queries, and a clear understanding of data pipelines and system resilience (e.g., timeouts, service dependencies).
Senior Software Engineer, Programs EnergyHubSenior Software Engineer, ProgramsNew York, NY$130,000–$170,000 / yearWe collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.