Senior Machine Learning Engineering Manager Capital Rx LLCSenior 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.
Senior Machine Learning Engineer Roku IncSenior Machine Learning EngineerNew York, NY$229,500–$360,000 / yearLead Software Engineer, Payment Platform San Jose, California Senior Machine Learning Engineer San Jose, California Director, Manufacturing Operations San Jose, California Senior Director, Software Engineering San Jose, California Senior Machine Learning Engineer, Content Platform San Jose, California Manager, Client Services New York Ad Partner Solutions Manager, Data & Measurement New York Executive Assistant New York. blocks--linked-image#click keydown.enter->blocks--linked-image#click" data-controller="" data-open-newtab="false" id="page_block_ddcbf6cd2b3fb01ca7c9279824ad0b15" style="background-image: linear-gradient(rgba(0, 0, 0, 0.0),rgba(0, 0, 0, 0.0)), url( https://d25wby5c7p9100.cloudfront.net/public/uploads/9dd4272d942760bfb0f16858b0a632e7/images/files/9fe8b0cc48a58cfb0c4d05137e277a7e/large/Purple_People.jpg?1632851332);background-position : 50% 50%" title="">.
Manager, Machine Learning Engineering, Web Ads Ranking Snap IncManager, 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.
Machine Learning Engineer, Level 4 Snap IncMachine Learning Engineer, Level 4New York, NY$173,000–$259,000 / yearThe 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. 3+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field.
NewPrincipal Machine Learning Engineer, TEAM DoorDash IncPrincipal Machine Learning Engineer, TEAMNew York, NY$282,100–$414,800 / yearWe value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers.
Senior Machine Learning Engineer, AdTech NexxenSenior Machine Learning Engineer, AdTechNew York, New YorkRemote$180,000–$220,000 / yearPlease be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get-rich-quick opportunities. Our team follows a hybrid schedule, working in the office three days a week and remotely for the rest, or is open to remote work for anyone with senior hands-on adtech vendor experience.
Senior Machine Learning Engineer NexxenSenior Machine Learning EngineerNew York, New York$180,000–$220,000 / yearPlease be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get-rich-quick opportunities. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location.
Machine Learning Research Scientist, Evaluations Scale AI IncMachine Learning Research Scientist, EvaluationsNew York, NY$180,600–$225,750 / yearThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Our products provide the high-quality data and full-stack technologies that power the world''s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
Senior / Principal Machine Learning Scientist, Scientific Reasoning Models, AI for Drug Discovery GenentechSenior / Principal Machine 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. In this role, you will: Technical Leadership & Strategy: Lead the design and evolution of scientific reasoning systems, setting technical direction for model architectures, training strategies, and evaluation methodologies.
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 Engineer, Next-Generation Recommendation Systems Unity Software IncMachine Learning Engineer, Next-Generation Recommendation SystemsNew York, NY$127,400–$191,200 / yearWhile specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Machine Learning Engineer, Generative ML, Level 4 Snap IncMachine 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 - Policy & Safety SpotifySenior Machine Learning Engineer - Policy & SafetyNew York, NY$184,050–$262,928 / yearWith a strong focus on “safety by default,” the team is investing in large-scale rearchitecture and ML-driven systems to proactively protect users and empower safer interactions across the platform. 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.
Director Of Data Science / Machine Learning Adonis TechnologyDirector Of Data Science / Machine LearningNew York City, NY$250,000–$275,000 / yearThrough advanced automation, data science, and AI Agents, Adonis helps revenue teams detect vulnerabilities, optimize workflows, and deploy precise solutions that drive reliable and scalable financial outcomes. This role combines deep healthcare domain expertise with advanced AI/ML knowledge to ensure Adonis delivers cutting-edge, compliant, and valuable AI solutions to healthcare customers.
Machine Learning User Research Scientist (Ph.D.) Exponent Inc.Machine Learning User Research Scientist (Ph.D.)New York, New York$130,000–$140,000 / yearFull timeYou will be responsible for: Supporting a range of consulting activities related to large-scale local and global programs to build custom datasets for machine learning algorithms including protocol development, data collection, data management, and analysis. D. in Electrical Engineering, Computer Engineering, Physiology, Human Factors, or a related engineering/scientific field (such as Applied Mathematics, Computer Science, Cognitive Science, Applied Physics, Industrial Engineering, Mechanical Engineering, or Robotics).
Machine Learning Infrastructure Engineer, Safeguards Research Anthropic PBCMachine 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.
Machine Learning Engineer III - AI Agent Engineer - Digital and Technology Partners - Onsite/Hybrid Mount Sinai Health SystemMachine Learning Engineer III - AI Agent Engineer - Digital and Technology Partners - Onsite/HybridNew York, NY$132,000–$198,065 / yearMount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology.
Machine Learning, Assistant Vice President Morgan StanleyMachine Learning, Assistant Vice PresidentNew York, NY$85,000–$140,000 / yearThe Machine Learning team in the Wealth Management (WM) Strategy & Analytics division at Morgan Stanley works on a breadth of applied AI research areas including but not limited to recommender systems, client personalization, graphical neural networks (GNNs), and natural language understanding/LLMs. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries.
Machine Learning Engineer, Infra, AI for Drug Discovery GenentechMachine Learning Engineer, Infra, 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 this 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. At Roche’s AI for Drug Discovery (AI4DD) group (Prescient Design), we are building the machine learning platforms that enable researchers and engineers to move models from experimentation into reliable scientific and production workflows.
Ads Conversion Modeling, Machine Learning Engineering Manager Reddit IncAds Conversion Modeling, Machine Learning Engineering ManagerNYRemote$230,000–$322,000 / yearThe Conversion modeling Team plays a pivotal role in developing and maintaining machine learning models that drive user conversions from Reddit Ads, with a special focus on predictive modeling around interactions like purchase, signup, add to cart, and other lower funnel user actions. Exceptional Communication & Collaboration: Strong interpersonal skills and a collaborative mindset, with the ability to effectively communicate complex technical topics to diverse audiences and build strong relationships with cross-functional partners.