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Senior Meta Machine Learning Jobs in New York (NOW HIRING)

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton ... RESPONSIBILITIES This role involves developing software and machine learning algorithms for use in ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

Senior Machine Learning Engineer

Brooklyn, NY · On-site +1

$130K - $200K/yr

Our team comes from Meta, Google, Apple and Uber. 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 ...

Our team comes from Meta, Google, Apple and Uber. 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 ...

... Meta, LinkedIn, Coinbase, Square, and Goldman Sachs. Hang raised a $16 million Series A led by ... This person will implement and develop machine learning models to enhance our platform ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

New

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 ...

New

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

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 ...

Machine Learning Engineer

New York, NY · On-site

$150K - $250K/yr

Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm ... What we're looking for At GPTZero, we ensure that machine learning models are created for the ...

Senior Machine Learning Engineer

Jersey City, NJ · On-site

$127K - $168K/yr

As a Senior Machine Learning Engineer, you'll play a crucial role in optimizing orchestration processes and ensuring fast and efficient model deployment and delivery. You'll work closely with ...

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Senior Meta Machine Learning information

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

What are the most commonly searched types of Meta Machine Learning jobs in New York?

The most popular types of Meta Machine Learning jobs in New York are:

What cities in New York are hiring for Senior Meta Machine Learning jobs?

Cities in New York with the most Senior Meta Machine Learning job openings:

Infographic showing various Senior Meta Machine Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer

Sandbar

Manhattan, NY • On-site

$120 - $190/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

About Sandbar

Sandbar is an interface company in New York City. We aim to augment individuals so we can each think, act, and move more freely. Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.

Our first product, Stream, is a self extension—a private voice ring and conversational interface. Stream has been featured in WSJ, Bloomberg, & Wired, and begins shipping in Summer '26.

Join us in creating technology that extends human thinking.

RESPONSIBILITIES

This role involves developing software and machine learning algorithms for use in human computer interface products. This includes designing system architectures involving large language models for conversational, information retrieval, and digital automation tasks. This also includes utilizing data science and statistical methods to analyze and optimize machine learning model performance across tasks. Lastly, this includes optimizing the aforementioned systems for latency, reliability, and cost. Telecommuting permitted. 3x/week in office required.

REQUIREMENTS

Requires a bachelor’s degree in computer science, engineering, data science or machine learning plus 2 years of experience as a machine learning engineer. Must also possess: 2 years building & deploying ML-based applications, including data curation and model training; 2 years of experience researching and developing applications based on large language models such as OpenAI GPT models or Anthropic Claude models, and open source models such as Meta Llama models; 2 years of experience in quantitative analysis based on data science; 2 years of experience in Python programming language; 2 years of experience building real-time applications utilizing ML models, such as real-time voice conversation via speech-to-text models, real-time image processing utilizing vision-language models, or other real-time ML-based systems in a professional context for internal tools or external products; 1 year of experience with AWS or GCP; 1 year of experience with Docker, TorchServe, AWS Lambda, or SageMaker; 1 year of experience developing retrieval augmented generation systems to improve the accuracy of information retrieval in applications utilizing large language models in a professional context for internal tools or external products; and prior experience in at least 1 startup-stage company (founding engineer to Series A company). Must be able to successfully complete competency-based interviews

FTE Benefits
  • Health, vision, and dental benefits
  • Company-sponsored 401(k)
  • Unlimited PTO and sick time
  • Early stage equity
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