Machine Learning Engineer, Generative ML, Level 4 SnapchatMachine Learning Engineer, Generative ML, Level 4New York, NY$173,000–$259,000 / yearOur team creates intuitive tools, platforms, and agentic systems that empower creators, developers, and internal teams to bring ideas to life, while advancing personalized, human-centric experiences across mobile, web, and wearable devices like Spectacles. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
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.
AI & Machine Learning Senior Vice President AlixPartners LLPAI & Machine Learning Senior Vice PresidentNY$160,000–$310,000 / 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. At AlixPartners, we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve.
Senior Machine Learning Engineer AvePoint IncSenior Machine Learning EngineerJersey City, NJ$190,000–$220,000 / yearAvePoint's global channel partner program includes approximately 5,000 managed service providers, value-added resellers, and systems integrators, with our solutions available in more than 100 cloud marketplaces. Serve as a steward of adoption by partnering with product, engineering, and go-to-market teams to ensure solutions are usable, measurable, and successfully adopted by end users and customers.
Machine Learning Engineer UnitXMachine Learning EngineerNY$174,304–$200,000 / yearBuild Automated Pipelines: Develop and maintain automated pipelines for data preprocessing, augmentation, and model training to continuously optimize deployed solutions. What Youll Do: Develop & Optimize Machine Learning Models: Design, train, and optimize deep learning models for defect detection and segmentation using high-resolution images and 3D sensor inputs.
Senior Staff Machine Learning Scientist, Assets Webflow IncSenior Staff Machine Learning Scientist, AssetsNYRemoteStay curious and open to growth - demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene representation, segmentation, detection, generation, and multimodal reasoning.
Lead Machine Learning Engineer Capital One Financial CorpLead Machine Learning EngineerNew York, NY$179,400–$204,700 / 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 II OSTTRAMachine Learning Engineer IINew York, New York$140,000–$180,000 / yearThis is a hands-on, full-lifecycle (from experimentation to productionization) ML role with a strong emphasis on developing and orchestrating intelligent agent frameworks, designing novel and robust retrieval methods, validating AI-generated outputs, and building scalable systems that connect data to actionable insights. What You’ll Do : Solve unique challenges in agentic design and LLM orchestration, including context engineering, data access patterns, memory management, and evaluation of agent performance to ensure they meet user needs effectively.
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.
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.
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.
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.
Lead Machine Learning Engineer (Python, GoLang, AWS) Capital One Financial CorpLead Machine Learning Engineer (Python, GoLang, AWS)New 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. 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.
Senior Machine Learning Engineer - Artist-First AI Music Lab SpotifySenior Machine Learning Engineer - Artist-First AI Music LabNew York, NY$184,049–$262,928 / yearAll of our products will put artists and songwriters first, through these four principles: Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later. Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.
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.
Senior Staff Machine Learning Engineer, Post Training Airbnb IncSenior Staff Machine Learning Engineer, Post TrainingNYRemote$248,000–$310,000 / yearThe team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. Post-training experience in areas like data processing for fine-tuning; responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling.
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 .
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).