Senior Machine Learning Engineering Manager Capital Rx, Inc.Senior Machine Learning Engineering ManagerNew York, NY$189,600–$237,000 / yearWe want people who like leading and working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. We are looking for an experienced software engineer with hands-on machine learning and leadership expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services.
Vice President, AI Strategy Mutual of AmericaVice President, AI StrategyNew York, New YorkThis is a strategic role, focused on working with business leaders and technology teams to define the company’s AI strategy and building scalable AI solutions that can be used across the organization. Build partnerships with executive leadership and senior team members to execute on the vision for managing AI projects and applications, to exploit data and AI capabilities to maximize the value.
AI/ML Research Scientist PeratonAI/ML Research ScientistBasking Ridge, New Jersey$135,000–$216,000 / yearFull timeConduct applied research on AI/ML-driven analytics using cutting edge machine learning and optimization techniques to expedite high-fidelity modeling and simulations. You will work with a small team of research scientists to investigate challenging problems, develop optimization and AI/ML-based solutions, software prototypes and demonstrate performance through hands-on evaluations.
NewSenior Product Manager Omnichannel Solutions, Alzheimer's Disease EisaiSenior Product Manager Omnichannel Solutions, Alzheimer's DiseaseNutley, New JerseyThis role partners across functions and with external teams to integrate AD treatment omnichannel priorities into enterprise workstreams, improve ways of working, and enable consistent execution across campaigns. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States.
NewEntry Level Urethane Machine Operator Rubber and Silicone ProductsEntry Level Urethane Machine OperatorFairfield, NJJob Description Rubber & Silicone Products has been a manufacturer of various rubber and silicone products for over 70 years. Assist in operation of other machines and tasks which the business demands in the other production areas.
VP, Data Science / Machine Learning Lead - Capital Markets & Fixed Income TWG Global AIVP, Data Science / Machine Learning Lead - Capital Markets & Fixed IncomeNew York, NY$290,000–$300,000 / yearAt TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries, including financial services (particularly capital markets and fixed income), insurance, technology, media, and sports, by leveraging data and AI as core assets. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development.
NewData Scientist, Media Consultant KnownData Scientist, Media ConsultantNew York, NY$120,000–$130,000 / yearThat structure earned us an Ad Age #3 A-List ranking, back-to-back Data & Insights Agency of the Year wins, plus Emmys, Cannes Lions, Clios, and Effies across clients in finance, tech, entertainment, consumer goods, and real estate. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values.
NewAI Engagement Lead Turing Enterprises IncAI Engagement LeadNew York, NY$240,000–$260,000 / yearProject Planning and Oversight:\n Manage the big-picture program timeline (releases, phases, go-live plans) using engineering velocity and capacity inputs provided by the Engagement Manager.\n Co-own delivery planning by managing the program-level timeline and facilitating Sprint Planning sessions ensuring release milestones and sprint goals are aligned with business priorities, clearly defined requirements, and the engineering capacity and feasibility inputs provided by the Engagement Manager.\n \n\n Own overall delivery to ensure quality, scope, and timelines are consistently met.\n Ensure robust business-facing documentation, including requirements documents, BRDs/PRDs, implementation plans, product roadmaps, and client-facing marketing or enablement materials.\n For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.\n \nRecognized by Forbes, The Information, and Fast Company among the world's top innovators, Turing's leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT.
Machine Learning Engineer - Fully Remote MercorMachine Learning Engineer - Fully RemoteNew York, New YorkRemoteUse frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
Lead Machine Learning Engineer - Generative AI and Agent Platforms JPMorgan Chase Bank, N.A.Lead Machine Learning Engineer - Generative AI and Agent PlatformsJersey City, NJFull timeAs an Applied AI and Machine Learning Lead at JPMorganChase within Payments Technology, Data Analytics, Regulatory & Compliance (Data Analytics) in the Commercial & Investment Bank , you will build and operate unique Agentic operation system and runtime that allows engineering teams build and safely, reliably run their AI agents. You'll work across Corporate & Investment Bank sub-lines of business and Payments, using Platform's runtime, retrieval, and memory primitives plus platforms such as Databricks and the GenAI Gateway, and apply MLOps for automation, continuous delivery, and compliance with AI/ML control expectations.
Machine Learning Engineer - Inference / Serving YobiMachine Learning Engineer - Inference / ServingNew York, New YorkRemoteEngineers here own major surface areas , build 01 systems in large-scale data and model infrastructure, and help define how Behavioral AI scales ethically and effectively. You’ll work at the core of our production environment, turning trained models into performant, reliable, and continuously improving services that power our open-web and CTV products.
Machine Learning Engineer - Core Signals YobiMachine Learning Engineer - Core SignalsNew York, New YorkRemote$180,000–$275,000 / yearEngineers here own major surface areas , build 01 systems in large-scale data and model infrastructure, and help define how Behavioral AI scales ethically and effectively. You've worked on and can speak to at least some of: representation learning, embeddings drift, CTR modeling, sequence modeling, etc., preferably on "big data" in an industrial setting.
Machine Learning Engineer - Applied / Product YobiMachine Learning Engineer - Applied / ProductNew York, New YorkRemote$180,000–$275,000 / yearThis role involves a large degree of 0-to-1 development, and will rely on collaboration with Product, core signals MLEs, and leaning on your own expertise and insight in building holistic ML-powered products. Engineers here own major surface areas , build 01 systems in large-scale data and model infrastructure, and help define how Behavioral AI scales ethically and effectively.
Lead Software Engineer - Machine Learning JPMorgan Chase Bank, N.A.Lead Software Engineer - Machine LearningJersey City, NJFull timeAs a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank Payments Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
NewSenior Specialist, Programmatic KnownSenior Specialist, ProgrammaticNew York, NY$80,000–$90,000 / yearThat structure earned us an Ad Age #3 A-List ranking, back-to-back Data & Insights Agency of the Year wins, plus Emmys, Cannes Lions, Clios, and Effies across clients in finance, tech, entertainment, consumer goods, and real estate. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values.
NewPolicy Design Manager, Conventional Weapons Anthropic PBCPolicy Design Manager, Conventional WeaponsNew York City, NY$245,000–$285,000 / yearThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Hands-on engineering experience in a weapons-relevant technical domain, such as systems engineering, robotics and autonomy, guidance/navigation/control, sensors and signal processing, aerospace or mechanical engineering, materials and energetics, or embedded software.
AI / Machine Learning Engineer Apogee Global RMSAI / Machine Learning EngineerPiscataway, New JerseyThe ideal candidate will have strong experience developing production-grade machine learning models, working across the full ML lifecycle—from data preparation and model development to deployment and optimization across cloud and mobile environments. This role will focus on designing, building, and deploying advanced AI and computer vision solutions that drive innovation in identity, security, automation, and digital trust.
Translational Scientist, Applied Machine Learning and Agentic AI, Pharma R&D Tempus AITranslational Scientist, Applied Machine Learning and Agentic AI, Pharma R&DNew York City, New YorkYou will apply advanced scientific methodologies to develop new predictive models and utilize causal inference frameworks to analyze vast multimodal oncology data, helping to scale scientific discovery from a manual process to a high-throughput, automated engine. The Translational Scientist, Applied Machine Learning and Agentic AI will contribute to the technical development of cutting-edge agentic frameworks designed to automate the discovery of novel prognostic and predictive models in oncology.
Senior Manager, Data Scientist Summit Therapeutics plcSenior Manager, Data ScientistPrinceton, NJRole and Responsibilities: Design and implement advanced analytical models (e.g., predictive modeling, segmentation, optimization, machine learning) using diverse datasets such as claims, outlet-level sales data, EDI, hub data, real-world data (RWD), specialty pharmacy/distributor data, EMR, and internal commercial datasets. A core focus of the role will involve executing analytics on a variety of data sources-including patient claims, EDI shipment data, and unstructured datasets-as well as supporting future machine learning initiatives.
Senior Associate, Data Scientist - PXT Analytics JPMorgan Chase Bank, N.A.Senior Associate, Data Scientist - PXT AnalyticsJersey City, NJFull timeYou'll source, develop, and track metrics tied to software delivery performance, including continuous integration/continuous delivery (CI/CD) improvements and generative AI solutions embedded in the development workflow. You'll work with diverse data sources such as CI/CD pipeline telemetry, developer activity signals, and tool usage patterns to identify trends, quantify adoption, and highlight opportunities to streamline delivery.