Remote | Machine Learning Engineer — $80–$140/hour 24-MagRemote | Machine Learning Engineer — $80–$140/hourNew York, New YorkRemoteWe are sharing a specialised consulting opportunity for experienced Machine Learning Engineers with strong expertise in Python, machine learning frameworks, model evaluation, data pipelines, and MongoDB to contribute to an advanced AI training and machine learning project. Selected professionals will design and refine machine learning models, work with large datasets, develop efficient preprocessing and data pipelines, and evaluate model performance through rigorous experimentation and benchmarking.
Machine Learning Engineer Rapinno TechMachine Learning EngineerJersey City, New JerseyExperience working on various steps of developing a data science solution, like problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance. Experience working with demand forecasting, supply chain optimization, driver analysis, time series analysis, statistical models, regression models and deep learning models.
Machine Learning Engineer II OSTTRAMachine Learning Engineer IINew York, New York$140,000–$180,000 / yearOur mission is to make complex unstructured data easily discoverable and actionable by building intelligent, retrieval-driven systems that enhance enterprise search, question answering, deep research, report generation, and knowledge discovery experiences across S&P Global platforms. 3+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), information retrieval systems and large-scale text processing, including designing, shipping, and maintaining production systems.
Principal Machine Learning Engineer, Content Engineering Paramount Skydance CorpPrincipal Machine Learning Engineer, Content EngineeringNew York, NY$234,000–$260,000 / yearResponsibilities: Lead the ShortForm Pod: Define the technical roadmap for automated clip generation and video insight, managing a high-performing pod of ML engineers. This team is in charge of a critical mission: the automated transformation of our massive long-form content library into "ShortForm" assets-high-impact clips, "gists," and social-ready highlights.
Tech Lead Manager Machine Learning |M1| Cedar Cares IncTech Lead Manager Machine Learning |M1|NYRemote$195,500–$247,000 / yearBalancing Rigor with a Bias for Action: With a deep understanding of software engineering principles, you build robust, production-grade systems that can handle the scale of millions of healthcare transactions, while also enabling the ability to rapidly operationalize, iterate on, and improve ML models and approaches as we collect data and generate new insights. Full-Stack ML Execution: Lead and execute engineering work ranging from high-performance MLOps (feature stores, pipelines for model deployment, inference, and monitoring) to sophisticated ML modeling (can include training ensemble models, reinforcement learning, multi-armed bandits, or more), while employing guardrails for compliance and fairness.
AI/Machine Learning Engineer Fordham UniversityAI/Machine Learning EngineerNew York, NYSitting Often Repetitive Hand Motion (such as typing) Often Hearing, Listening, Talking Often Standing Seldom Walking Seldom Running Not Required Bending, Stooping, Kneeling, squatting, Crouching, Crawling Not Required Climbing stairs Not Required Climbing ladders Not Required Reaching overhead Not Required Pulling, pushing Not Required Shoveling Not Required Lifting - up to 20 pounds Not Required Lifting - up to 50 pounds Not Required Lifting - over 50 pounds Not Required. Title of Position AI/Machine Learning Engineer Position Number A11100 FLSA Exempt Scheduled Hours Per Week 35 Department Enterprise AI Campus Rose Hill, Lincoln Center Work Arrangement Hybrid Hybrid Policy: Please review the Hybrid Policy at www.fordham.edu/hybridpolicy.
Machine Learning Scientist, Multimodal AI Natera IncMachine Learning Scientist, Multimodal AINY$124,800–$156,000 / yearCore experience developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular diagnostics. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other.
Senior Associate - Machine Learning Engineer JPMorgan Chase Bank, N.A.Senior Associate - Machine Learning EngineerJersey City, NJFull timeBeyond building models and agents, you will help build robust, scalable systems, contribute to technical direction under the guidance of senior team members, collaborate closely with engineers and stakeholders, and help translate complex business problems into production-grade solutions that drive measurable impact. As a Senior Associate, Data Scientist / Machine Learning Engineer within our ASSET & WEALTH MANAGEMENT (AWM) AI/ML team, you will contribute to the design, development, and production of next-generation AI/ML systems across pricing, campaign targeting, personalization, and related business use cases.
Senior Staff Machine Learning Engineer - Content Platform SpotifySenior Staff Machine Learning Engineer - Content PlatformNew York, NY$281,196–$401,709 / yearAs the scale and diversity of content continue to grow—driven by advances in AI, new creation tools, and emerging content formats—we’re investing in intelligent systems that can understand, evaluate, manage, and route content reliably at global scale. That means turning complexity into clarity across hundreds of touchpoints—from our mobile and desktop apps to the smart speakers, TVs, cars, and integrations where Spotify shows up every day.
Principal Applied Machine Learning Scientist Omada Health IncPrincipal Applied Machine Learning ScientistNY$270,480–$338,100 / yearLead research and development of individual- and population-level health trajectory models that predict future member states, risks, and likely progression paths using messy, real-world longitudinal healthcare data. Below is a summary of salary ranges for this role in the following geographies: California, New York State and Washington State Base Compensation Ranges: $270,480 - $338,100 , Colorado Base Compensation Ranges: $258,720 - $323,400 .
Senior Machine Learning Engineer - Healthcare Stone Alliance Group Career PageSenior Machine Learning Engineer - HealthcareNew York, NY$118,000–$148,000 / yearAs the Senior Machine Learning (ML) Engineer , you will apply expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to develop and implement innovative ML solutions that have the potential to make a significant impact in the lives of children and adolescents struggling with mental health issues. - 3+ years of practical experience developing and designing production-oriented machine learning technologies and systems, including hands-on experience in NLP and modern ML/NLP.toolchains (e.g., pytorch, tensorflow, SpaCy, HuggingFace, NLTK).
Senior Machine Learning Engineer Capital One Financial CorpSenior Machine Learning EngineerNew York, NY$161,800–$184,600 / yearIn 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. 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.
Machine Learning Engineer, Causal Inference, Level 5 SnapchatMachine Learning Engineer, Causal Inference, Level 5New York, NY$209,000–$313,000 / year5+ years of post-Bachelor's experience in machine learning, with hands-on experience in causal inference or experimentation; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experience. Knowledge, Skills & Abilities: Strong understanding of causal inference and modern approaches to estimating treatment effects (e.g., meta learners, propensity score matching, instrumental variables).
Machine Learning Infrastructure Engineer, Safeguards Research AnthropicMachine Learning Infrastructure Engineer, Safeguards ResearchNew York City, NY$350,000–$500,000 / 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. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Staff Machine Learning Engineer, Personalization Spotify Technology SAStaff Machine Learning Engineer, PersonalizationNew York, NY$227,495–$324,993 / yearThis role is ideal for someone who enjoys taking models from research to production, driving technical direction in ambiguous problem spaces, and solving complex personalization challenges at global scale. The team owns and evolves the experiences that help listeners quickly connect with the content that matters most to them, including the Home Shortcuts experience and the underlying intelligence that powers it.
Lead Machine Learning Engineer Capital One Financial CorpLead Machine Learning EngineerNew York, NY$197,300–$225,100 / yearIn 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. 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.
Staff Machine Learning Engineer, Home Surfaces Spotify Technology SAStaff Machine Learning Engineer, Home SurfacesNew York, NY$227,495–$324,993 / yearThis role is ideal for someone who enjoys taking models from research to production, driving technical direction in ambiguous problem spaces, and solving complex personalization challenges at global scale. The team owns and evolves the experiences that help listeners quickly connect with the content that matters most to them, including the Home Shortcuts experience and the underlying intelligence that powers it.
Staff Machine Learning Engineer - Music Mission Spotify Technology SAStaff Machine Learning Engineer - Music MissionNew York, NY$227,495–$324,993 / yearAs a Staff Machine Learning Engineer, you'll help shape the Machine Learning technical strategy for this high-impact area, partnering across engineering, product, data science, research, and design to create tools that help artists grow their audiences while supporting Spotify's core business. You enjoy leading technically complex projects from idea through production and working closely with teammates and partners to deliver meaningful outcomes.
Senior Machine Learning Engineer - Artificial Intelligence Bloomberg LPSenior Machine Learning Engineer - Artificial IntelligenceNew York, NY$165,000–$260,000 / yearWe are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
AI & Machine Learning Director AlixPartners LLPAI & Machine Learning DirectorNYRemote$170,000–$400,000 / yearIn this challenging role, you will be responsible for leading projects and client engagements, analyzing corporate performance, driving cost reductions, revenue growth and profitability improvement in your industry or functional area(s) of expertise in 'high stakes' situations. In this role, you will have the chance to create ETL workflows, scripts, statistical models, and visualizations while taking responsibility for the design, build, test, execution, and support of the data migration, cleansing, wrangling, etc.