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Senior Full Stack Machine Learning Engineer Jobs in New York

We're looking for a Senior Machine Learning Engineer to help build and scale the next generation of ... with full-stack framework (e.g, Node.js, React) Experience with distributed modeling Education ...

Sr. Machine Learning Engineer Location: New York, NY Sponsorship: Yes Relocation: Yes Industry: Machine Learning A leading provider of AI is looking for a Sr. ML Engineer. Our client is an industry ...

Required : • 10+ years of combined experience in full-stack development with specialization in machine learning, data engineering, and knowledge of agentic application design. • Strong ...

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

... machine learning. The company is working on systems that help train and evaluate AI models in ... The work is not meant for a highly specialized senior engineer. It is designed for a sharp full ...

... machine learning. The company is working on systems that help train and evaluate AI models in ... The work is not meant for a highly specialized senior engineer. It is designed for a sharp full ...

About the Role We're looking for a Senior Machine Learning Engineer to join our AI team and help build the next generation of predictive trading models. You'll work on cutting-edge problems involving ...

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Own the full ML lifecycle : Take projects from ideation to production, including feature ... Experience with packaging, CI/CD and pipeline automation. Tech stack : Our ML pipeline manages ...

Showing results 41-60

Senior Full Stack Machine Learning Engineer information

What is the difference between Senior Full Stack Machine Learning Engineer vs Data Scientist?

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in New York?

The most popular types of Full Stack Machine Learning Engineer jobs in New York are:

What cities in New York are hiring for Senior Full Stack Machine Learning Engineer jobs?

Cities in New York with the most Senior Full Stack Machine Learning Engineer job openings:

Senior Full-Stack TypeScript Engineer (Frontend-Leaning)

AI

Manhattan, NY • On-site

$120 - $150/hr

Other

Re-posted 2 days ago


Job description

Senior Full Stack Engineer (Frontend-Focused)About the Role

We are looking for a Senior Full Stack Engineer with a strong frontend orientation to help build next-generation collaborative AI-powered product experiences. This role is ideal for someone who thrives in fast-paced startup environments and enjoys building polished, user-centric applications that blend creativity, AI, and real-time collaboration.

You will work closely with product, design, and engineering teams to create highly interactive web and mobile experiences where humans and AI agents collaborate seamlessly.

Responsibilities
  • Build and maintain complex full stack applications using TypeScript across the entire stack
  • Develop highly polished, responsive, and visually refined user interfaces
  • Create real-time collaborative experiences and interactive canvas-based workflows
  • Work on AI-powered product features, including LLM integrations and agentic workflows
  • Collaborate closely with product and design teams to deliver intuitive user experiences
  • Implement animations, transitions, and modern frontend interactions
  • Contribute to backend architecture and scalable system design
  • Participate in technical discussions and product decision-making
  • Demonstrate ownership of features from concept through production deployment
Required Qualifications
  • Strong experience with TypeScript across frontend and backend development
  • Proven experience with React and modern web technologies
  • Experience with React Native for mobile development
  • Solid full stack engineering background with strong frontend expertise
  • Strong understanding of UI/UX principles and product-minded engineering
  • Experience building polished consumer or SaaS web products
  • Ability to work in a fast-moving startup environment
  • Excellent communication and collaboration skills
  • Authorized to work in the United States
Preferred Qualifications
  • Experience working with LLMs, AI workflows, or agentic systems
  • Experience building collaborative or real-time applications
  • Familiarity with animations, motion systems, and interactive interfaces
  • Experience working on creative tools, design tools, or highly visual products
  • Startup experience and comfort with ambiguity
  • Strong product intuition and design sensibility
Work Environment
  • Hybrid role based in New York
  • Four days onsite, one day remote (Fridays)
  • Fast-paced startup environment with lean decision-making and rapid iteration
Ideal Candidate

The ideal candidate is a highly capable engineer who combines strong technical execution with product thinking and design sensitivity. They are passionate about building cutting-edge AI-enabled experiences and enjoy working closely with small, high-impact teams.

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