58 full stack ml engineer jobs at 43 companies in New York City, NY
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Director, Full-Stack Engineer
New York, New York, United States
$142k-$250k/yrHybridFull Time
BNYNYSE: BK: Global institution managing and servicing financial assets worldwide.
12+ YOEBachelor's in CS/Engineering or equivalent, 12+ years software development with full‑stack and architecture experience; strong Java, Spring Boot, SQL, cloud‑native, microservices, NoSQL, and experience with GenAI/ML.
Bristol Myers SquibbNew York Stock Exchange: BMY: Develops and distributes innovative medicines for serious diseases.
5+ years software engineering experience, Bachelor's in CS or related, hands-on Generative/Agentic AI, Python/React proficiency, knowledge of cloud, APIs, ML frameworks, strong communication and leadership.
LazardNYSE: LAZ: Global financial advisory and asset management firm.
2+ YOE2+ years software engineering experience, bachelor’s in CS/Data Science, production application development, strong Python backend skills, front-end framework experience (e.g., React), API and SQL experience, cloud deployment (Microsoft Azure), regulated environment and ML production experience.
Louisville or Dallas or Fort Lauderdale or Washington or Chicago or New York City or Kentucky or United States
$129k-$178k/yrRemoteFull Time
HumanaNYSE: HUM: Provides health insurance plans and clinical healthcare services.
8+ YOE2+ MgmtBachelor's in CS or related; 8+ years IT experience with senior-level software engineering; 2+ years technical leadership; expertise in front-end/back-end, cloud-native architecture, AI/ML ops, containers, and enterprise-scale web services.
TypeScript, Node.js, Java, Spring, Spring Boot, Vue.js, Angular, React Native, JSON, RESTful web services, Microsoft Azure, GCP, Docker, Kubernetes, AKS, Adobe Experience Platform
5+ YOE5+ years software engineering experience; bachelor\u0002s in CS or related; hands-on Generative/Agentic AI, Python and React proficiency; experience with LLM frameworks, cloud (AWS), APIs, EM/ML tooling; strong communication and problem solving.
Greenboard: AI-native operating system for financial compliance.
5+ YOE5-8 years experience, strong Node.js and React skills, AWS architecture, scalable data infrastructure, knowledge of AI/ML, excellent communication and collaboration.
Button: Mobile commerce platform for deep-linking and attribution.
10+ YOE10+ years building production systems, deep full-stack expertise (UI, APIs, backend, data), 5+ years leading system design, strong JavaScript/TypeScript (React, NodeJS), Go, Python, ML productionization, cloud (AWS), SLOs and incident management, mentoring experience.
Accrete AI: AI agents that automate complex decision-making through knowledge engines.
PhD in CS/AI/ML required. Strong programming in Python, C++, or Java; experience with TensorFlow, PyTorch or JAX; distributed computing and cloud (AWS/GCP/Azure); containerization (Docker/Kubernetes); deep learning and model deployment.
Distinguished Engineer, Full Stack (Remote Eligible)
Cambridge or Richmond or New York City or McLean or United States
$245k-$335k/yrRemoteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
7+ YOEBachelor's degree and 7+ years in software engineering, solution or enterprise architecture, distributed HPC/ML systems, cloud computing, and data engineering; advanced coding and AI-native engineering experience preferred.
Python, Java, Go, Scala, JavaScript, TypeScript, AWS, Microsoft Azure, Google Cloud
Royal Bank of CanadaTSX: RY: Provides personal, commercial, and investment banking services worldwide.
10+ YOE3+ MgmtRequires 10+ years of full-stack development, 5+ years of AI/ML engineering, and 3+ years of leadership or senior technical experience. Requires programming, AI architecture, cloud, governance, and team leadership expertise.
Swayable: Measures message impact and public opinion using causal AI.
5+ YOE5+ years building scientific or quantitative data‑intensive software; expertise in scientific Python stack, object‑oriented and test‑driven development, vectorized code, machine learning, and distributed/parallel computing.
New York City or Toronto or United States or Canada
$195k-$245k/yrRemoteFull Time, Contract
FutureFit AI: Provides AI-powered career navigation and workforce development software solutions.
Senior MLOps/data engineering experience with strong systems design, hands-on implementation of production data pipelines and ML workflows, fluency with modern data/ML stack and cloud infrastructure (SQL, Python, Airflow, dbt, AWS).
Seattle or Chicago or Los Angeles or Atlanta or Houston or Arlington or San Francisco or Morristown or Boston or Dallas or San Diego or New York
HybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
3+ YOEBachelor's in CS/engineering or related field; 3+ years in client-facing tech delivery; strong backend/API/full-stack or ML workflows; experience with enterprise hardening and deployment.
Waterloo or New York City or San Francisco or Toronto or London
$196k-$270k/yrHybridFull Time
Faire: Online wholesale marketplace connecting independent retailers with unique brands.
5+ YOE5+ years building production ML/AI systems, hands-on applied science (data, evaluation, modeling), shipped agentic/LLM features, cross-stack engineering experience, and strong experimental and product judgment.
Mercor: Connecting expert human intelligence with frontier AI model development.
Experience shipping ML systems; expertise in ranking, recommendation, search, or matching; comfortable across applied ML stack (data, features, training, inference); strong engineering fundamentals and product impact focus.
DuolingoNASDAQ: DUOL: Mobile application for language learning and basic education.
Proven AI research engineering experience across LLMs, bandits, and ML stack (feature engineering, training, fine-tuning, RL, evaluation, deployment, monitoring); leadership and mentoring experience; advanced degree or equivalent experience.
Mirage: AI platform for automated video creation and professional editing.
BS/MS/PhD in CS/ML or related, strong track record building production ML/agent systems, deep knowledge of transformers and LLM techniques, experience with fine-tuning and evaluation, ability to own model-to-deployment stack.