Lead Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) Capital One Financial CorpLead Machine Learning Engineer - Intelligent Foundations and Experiences (IFX)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. 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, 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.
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.
Machine Learning Engineer DorsiaMachine Learning EngineerNew York City, New YorkWe’re looking for a Machine Learning Engineer to join our growing team and own the development of intelligent systems that power core product features, personalization, and operational efficiency. This is a hands-on, full-stack ML role with a direct line to impact—shaping how members discover experiences, how restaurants manage demand, and how our business scales.
Staff Machine Learning Engineer, Ad Serving Roku IncStaff Machine Learning Engineer, Ad ServingNew York, NY$195,000–$510,000 / yearblocks--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="">. Senior Software Engineer - Kubernetes & ServiceMesh Embassy Golf Links Business Park, Domlur, Bengaluru, Karnataka Senior Software Engineer - Kubernetes & Service Mesh Embassy Golf Links Business Park, Domlur, Bengaluru, Karnataka Head of Agency Partnerships New York Subscriptions & SSP Insights Manager, Howdy New York Sr.
Machine Learning Engineer StackAdaptMachine Learning EngineerNew York, NYRemote$140,000–$192,500 / yearFactors Influencing Final Compensation: The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. You'll be working directly with our Applied Machine Learning Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models.
Machine Learning Engineer – Forecasting & Production Systems Mai PlacementMachine Learning Engineer – Forecasting & Production SystemsNewark, NJExperience with methods such as gradient boosting, regression, tree-based models, classical statistical forecasting, probabilistic forecasting, or deep-learning approaches to temporal data is relevant. We are specifically looking for experience building predictive models where time, historical patterns, seasonality, trends, and future outcomes matter .
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.
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.
Senior Machine Learning (ML) Engineer (AI Insurtech) EvolutionIQSenior Machine Learning (ML) Engineer (AI Insurtech)New York, NY or Remote$190,000–$225,000 / yearAbout Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies.
Senior Machine Learning ML Engineer AI Insurtech Evolution IQSenior Machine Learning ML Engineer AI InsurtechNew York, NY$190,000–$225,000 / yearAbout Us: EvolutionIQ's mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies.
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).
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 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) Capital One Financial CorpLead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)New York, NY$215,200–$245,600 / 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.
Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) Capital OneSr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)New York, New YorkLead, Machine Learning Engineer (Enterprise Platforms Technology) 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.
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.
Lead Machine Learning Engineer (Finance Tech - AI Enablement) Capital One Financial CorpLead Machine Learning Engineer (Finance Tech - AI Enablement)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: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI.
NewStaff Machine Learning Engineer, Retrieval Reddit IncStaff Machine Learning Engineer, RetrievalNYRemote$230,000–$322,000 / yearImprove the retrieval stack across key modeling decisions, including objectives, labels, sampling strategies, hard-negative mining, feature design, embedding generation, candidate filtering, and retrieval depth. Apply modern approaches such as two-tower architectures, representation learning, embeddings, sequence models, graph-based methods, and other deep learning techniques when they create meaningful product value.
NewSenior Machine Learning Engineer Angi IncSenior Machine Learning EngineerNY$200,000–$250,000 / yearThis includes automating model training and post-training (fine-tuning, RLHF/preference alignment, distillation), optimizing runtime performance and inference cost of models, and owning the full MLOps lifecycle - from data pipelines and experiment tracking through CI/CD, model registry, monitoring, and rollback - to enable fast, reliable delivery of machine learning solutions into production environments. Model Evaluation: Define and own rigorous evaluation frameworks for deep learning and ML systems - offline metrics, online experimentation (A/B testing, guardrail metrics), and LLM-specific evaluation (hallucination rate, task accuracy, human/LLM-as-judge scoring) - to ensure models meet quality and safety bars before and after deployment.
Senior Staff Machine Learning Engineer EtsySenior Staff Machine Learning EngineerBrooklyn, New YorkEtsy is one of the largest global marketplace platforms in the world, and offers three work modes to meet our team's various needs and preferences: Flex mode for candidates who are comfortable traveling to an office location 4+ times per month, Remote mode, and Office-based mode. We are looking for a Senior Staff Software Engineer, Machine Learning to be a pivotal technical leader in architecting the next generation of AI/ML models and systems that connect buyers and sellers across Etsy's platform.