Machine Learning Engineer Virtu FinancialMachine Learning EngineerNew York, NY$200,000–$300,000 / yearVirtu’s Research Technology team is looking for an experienced Machine Learning Engineer to join a small group of technologists whose primary function is building the infrastructure that powers our quantitative researchers. This is a unique opportunity to work at the intersection of machine learning and systematic trading — building tools that directly determine how fast our researchers can move, and how effectively our GPU cluster translates into research output.
Staff Machine Learning Engineer, Customerlake (Ml/Llm) DataBricksStaff Machine Learning Engineer, Customerlake (Ml/Llm)New York City, NY$192,000–$260,000 / yearMore than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Hands-on experience building and evaluating ML models and/or LLM systems for real product or business use cases; your understanding is practical, not purely academic, and you can make models work well inside a product.
Senior Analyst, Data For Analytics And Machine Learning Forrester Research, Inc.Senior Analyst, Data For Analytics And Machine LearningNew York, NY$119,000–$193,000 / yearCreate approximately eight to 12 high-quality, actionable, analytically deep, and fact-based research projects per year, which include a mixture of written reports, tools, webinars, videos, blogs, podcasts, infographics, and other intellectual property. The Senior Analyst helps clients deliver on their enterprise data and AI strategy with data science and ML products that leverage trusted, high-quality data enriched with relevant semantics and ontologies.
Senior Software AI Engineer Page GroupSenior Software AI EngineerNew York, NY$175,000–$220,000 / yearFull timeThe Senior Software AI Engineer will play a critical role in developing advanced AI-driven solutions to enhance operational efficiency and decision-making processes within the insurance industry. A successful Senior Software AI Engineer should have: Strong expertise in artificial intelligence and machine learning techniques.
Principal Machine Learning Engineer Blaze TalentPrincipal Machine Learning EngineerNew York, New YorkPrincipal ML Engineer New York, NY (Hybrid) About the Company We're building AI-native enforcement infrastructure for enterprise communication — technology that catches and fixes compliance issues in real time, before an AI-generated message ever reaches a customer or counterparty, across every channel where AI represents the business. You'll own the systems that turn that science into a reliable, production-grade product: the pipelines that train models reproducibly, the evaluation infrastructure that proves they work, and the serving stack that runs them at scale.
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.
Lead Machine Learning Engineer, Card Tech Capital OneLead Machine Learning Engineer, Card TechNew York, New YorkLead Machine Learning Engineer, Card Tech 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. 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.
Senior Machine Learning Engineer - Disney Streaming The Walt Disney CompanySenior Machine Learning Engineer - Disney StreamingGlendale, New YorkJob Posting Segment: Product Engineering Job Posting Primary Business: PE - Streaming Backend Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: New York, NY, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave Date Posted: 2026-02-13 Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally.
Senior Machine Learning Engineer - Enrichment & Content Intelligence SpotifySenior Machine Learning Engineer - Enrichment & Content IntelligenceNew York, NY$184,049–$262,928 / yearWe're looking for a Senior Machine Learning Engineer to help evolve the machine learning systems behind Recording Groups, Music Video Resolution, SongDNA, and the Music Knowledge Graph. 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.
Acceleration Center- Agentic AI And Machine Learning Developer- Experienced Associate PwCAcceleration Center- Agentic AI And Machine Learning Developer- Experienced AssociateNew York, NY$61,000–$100,000 / yearWithin our Risk & Regulatory practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, applying data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As an Acceleration Center- Agentic AI and Machine Learning Developer- Experienced Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
NewSenior Machine Learning Engineer - Hybrid Everforth, CybercodersSenior Machine Learning Engineer - HybridJersey City, NJ$180,000–$240,000 / yearYou'll work with complex, large-scale datasets and partner closely with engineering, data, and domain experts to develop models that are accurate, reliable, explainable, and ready for real-world use. We're working with a fast-growing technology company in the AI and healthcare space that's looking to add a Senior Machine Learning Engineer to its growing engineering team.
Machine Learning Engineer (15265-1) Newark, NJ ESRhealthcare and EXEC STAFF RECRUITERSMachine Learning Engineer (15265-1) Newark, NJNewark, New JerseyExperience level: Mid-senior Experience required: 7 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate: Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No. Your responsibilities will encompass a wide range of tasks, from leading a small team of machine learning engineers to collaborating with cross-functional teams to deliver impactful solutions.
Acceleration Center- Agentic AI And Machine Learning Developer- Senior Associate PwCAcceleration Center- Agentic AI And Machine Learning Developer- Senior AssociateFlorham Park, NJ$77,000–$202,000 / yearAs an Acceleration Center- Agentic AI and Machine Learning Developer- Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials.
Machine Learning Scientist, Algorithmic Recommendations (Email Targeting) The New York Times CompanyMachine Learning Scientist, Algorithmic Recommendations (Email Targeting)New York, NY$121,000–$131,000 / yearYou will communicate complex ideas in machine learning while collaborating with all kinds of colleagues in in engineering, analytics, product management, marketing, editorial, and executive leadership groups. Basic Qualifications: PhD, MS + 2 years experience, or 3+ years experience in statistics, computational social science, applied mathematics, economics, or another quantitative/computational discipline.
Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery GenentechMachine Learning Scientist, Scientific Reasoning Models, AI for Drug DiscoveryNew York City, New YorkThe new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. LLM Expertise: Experience developing and training large-scale machine learning models, including post-training techniques to enhance domain knowledge, reasoning capabilities, and model alignment.
Machine Learning Scientist, New AI Products and Platforms New York Times CompanyMachine Learning Scientist, New AI Products and PlatformsNew York, NY$121,000–$141,000 / yearYou will communicate complex ideas in machine learning and AI while collaborating with all kinds of colleagues in engineering, analytics, product management, marketing, editorial, and executive leadership groups. The annual base pay range for this role is between: $121,000—$141,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock.
Machine Learning Scientist, New AI Products And Platforms The New York Times CompanyMachine Learning Scientist, New AI Products And PlatformsNew York, NY$121,000–$141,000 / yearBasic Qualifications: PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline. You will communicate complex ideas in machine learning and AI while collaborating with all kinds of colleagues in engineering, analytics, product management, marketing, editorial, and executive leadership groups.
NewSenior 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).
Manager, Machine Learning Engineering, Web Ads Ranking SnapchatManager, Machine Learning Engineering, Web Ads RankingNew York, NY$229,000–$343,000 / yearBuild the evaluation framework that enables rapid iteration and high-quality decision-making, working closely with Data Science and Product partners to define success metrics and measure outcomes. 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 AvePointSenior 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.