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Remote Full Stack Machine Learning Engineer Jobs in New York

Harnham

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$220K - $260K/yr

... full-stack AI powerhouse, delivering cutting-edge solutions in LLMs, Diffusion Models, and ... Remote and Hybrid work option (NYC preferred) * Seamless meal allowance How to Apply Ready to build ...

Zenlaw

Full-Stack Engineer (Remote)

New York, NY · On-site +1

As a Zenlaw Full-Stack Engineer you will: * Develop new features working with cross-functional ... Python (machine learning, Natural Language Processing, string manipulation) You care about:

Autodesk

Senior Machine Learning Engineer

New York, NY · On-site +1

$114K - $157K/yr

This role is designed for someone who enjoys working across the full machine learning lifecycle and ... This role is currently open to remote work. Candidates must be located near one of our hub ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...

Shaped

Full Stack Engineer (Analytics)

Brooklyn, NY · On-site +1

$100K - $150K/yr

We're a remote team but have a small office in Brooklyn, New York. We are looking for a full-stack ... Previous experience in analytics, machine learning or data processing is advantageous. * Excellent ...

MLabs

Full Stack AI Engineer

New York, NY · On-site +1

$140K - $200K/yr

Remote - If based in NYC, will require office presence 2/3 days a week, for LATAM and European ... Partner with research and machine learning teams to integrate AI capabilities into production ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

We're remote but have an office in Brooklyn, New York. We are looking for a machine learning engineer to design, build, experiment and optimize Shaped's AI discovery engine. You will be a founding ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Headspace

Staff Machine Learning Engineer

New York, NY · On-site +1

$179K - $224K/yr

About the Staff Machine Learning Engineer at Headspace: The AI & Machine Learning group at ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Patlytics

Full Stack Engineer

New York, NY · On-site +1

Invest in yourself - Professional development budget, gym membership stipend, and learning ... Hybrid work environment (open to remote pending location), while staying connected with a ...

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

... Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary ... stack that powers Pictor's virtual staining. The ideal candidate will have deep expertise in ...

Capital One

Sr. Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

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Remote Full Stack Machine Learning Engineer information

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
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 are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in New York? For Remote Full Stack Machine Learning Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in New York look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in New York are:
What cities in New York are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in New York with the most Remote Full Stack Machine Learning Engineer job openings:
Remote Full Stack Machine Learning Engineer jobs near you
Lead Machine Learning Engineer

Lead Machine Learning Engineer

Harnham

Manhattan, NY • On-site, Remote

$220K - $260K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Job description

Get AI-powered advice on this job and more exclusive features.

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$220,000.00/yr - $260,000.00/yr

Placing the Top AI and Machine Learning Talent (NYC)

Lead Machine Learning Engineer

$220,000 - $260,000 + Bonus

Remote (NYC preferred, hybrid available)

About the Company

Imagine a future where AI doesn’t just assist in marketing—it drives it. That’s what our client is building.

Our client is leading the transformation of AI-powered marketing, helping global brands optimize ad spending, automate decision-making, and scale effortlessly. Backed by a world-class ML and Data Science team, we’re evolving beyond a traditional agency into a full-stack AI powerhouse, delivering cutting-edge solutions in LLMs, Diffusion Models, and predictive analytics.

If you want to work on AI that makes a measurable impact—think billions in ad spend optimized in real time—this is where you want to be.

The Role

We’re looking for a Staff Machine Learning Engineer to build, fine-tune, and deploy AI models at scale. You’ll be working with LLMs, Diffusion Models, and advanced predictive analytics to optimize ad performance, automate campaigns, and solve complex problems in marketing AI.

This is a hands-on role where you’ll collaborate with top engineers, data scientists, and product leaders to ship real AI solutions—fast.

What You’ll Do

  • Develop and fine-tune LLMs, Diffusion Models, and predictive ML models to optimize ad performance.
  • Design and deploy scalable AI solutions that automate campaign creation, optimization, and decision-making.
  • Collaborate cross-functionally to integrate AI-driven automation into marketing systems.
  • Work in a high-impact, fast-moving environment where your models go live and deliver real results.
  • Solve complex challenges at the intersection of AI, advertising, and automation.

What You Bring

  • Proven experience in ML/Data Science—no strict degree requirements, just strong real-world expertise.
  • Strong experience with Python, TensorFlow, PyTorch, and model deployment.
  • Background in LLM fine-tuning, diffusion models, and predictive analytics.
  • Experience shipping ML products at scale—bonus points if you’ve done it at a FAANG or top AI-driven company.
  • Preference for NYC-based candidates (4 days/week in office), but remote-friendly for the right fit.

The Perks

  • Unlimited vacation
  • Monthly phone stipend
  • Comprehensive medical, dental, and vision insurance
  • 401(k) with matching
  • Remote and Hybrid work option (NYC preferred)
  • Seamless meal allowance

How to Apply

Ready to build AI that transforms marketing? Send your resume to Cassie Wandell via the Apply link on this page.

Seniority level

Associate

Employment type

Full-time

Job function

Advertising, Engineering, and General Business

Industries

Advertising Services and Engineering Services

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