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Contract Meta Machine Learning Jobs in Queens, NY

Sandbar

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

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

Software Engineer, Machine Learning

New York, NY · On-site +1

$183K/yr

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 ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

... 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 ...

GPTZero

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 ...

New

Shaped

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 ...

Shaped

Senior Machine Learning Engineer

Brooklyn, NY · On-site

$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 ...

RunSybil

Machine Learning Engineer

New York, NY · On-site

... from OpenAI, Meta, Mandiant, Palantir, Cruise, Trail of Bits, and Aptiv. About this Role We are ... Understanding of both modern and classic machine learning techniques * Equally comfortable with ...

Meta

Research Engineer, Monetization AI

New York, NY · On-site

$183K/yr

Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations ...

Meta

Computer Vision Engineer

New York, NY · On-site

$154K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to ...

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All JobsContract Meta Machine Learning JobsContract Meta Machine Learning Jobs in Queens, NY

Contract Meta Machine Learning information

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How much do contract meta machine learning jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for contract meta machine learning in Queens, NY is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $23.85 per hour, depending on experience, location, and employer.

What is a contract Meta machine learning professional?

Contract Meta Machine Learning professionals are specialists hired on a contractual basis to design, develop, and optimize machine learning models, often focusing on meta-learning techniques. Meta-learning, sometimes called 'learning to learn,' involves creating algorithms that can adapt to new tasks with minimal data or retraining. These professionals typically work with organizations to solve complex, data-driven problems, leveraging advanced AI techniques for efficiency and scalability. They may also help integrate these solutions into existing systems and provide guidance on best practices for model deployment.

What are the key skills and qualifications needed to thrive as a contract Meta machine learning engineer?

To thrive as a Contract Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and advanced machine learning concepts, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and version control systems is essential, along with experience in meta-learning techniques. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design innovative solutions and collaborate with diverse teams. These competencies are crucial to efficiently develop, implement, and optimize meta-learning models that address complex, evolving business challenges.

What are some of the unique challenges faced by contract machine learning engineers at Meta, and how can candidates prepare for them?

Contract machine learning engineers at Meta often work on high-impact projects with tight deadlines and rapidly evolving requirements. One of the main challenges is quickly integrating into existing teams and understanding Meta's large-scale data infrastructure and proprietary tools. To prepare, candidates should familiarize themselves with Meta's open-source frameworks, practice adapting to new codebases, and be ready to communicate effectively with cross-functional stakeholders. Building strong collaboration skills and maintaining flexibility will help contract engineers deliver value efficiently in this fast-paced environment.

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

AspectContract Meta Machine LearningContract Data Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksMaster's or PhD in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentFocus on developing and deploying machine learning models, often in AI projectsData analysis, modeling, and interpretation to inform business decisions
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, and tech firms

Contract Meta Machine Learning roles primarily focus on building and deploying machine learning models, often requiring advanced technical skills in AI. Contract Data Scientist positions involve analyzing data, creating models, and deriving insights for business strategies. While both roles require strong analytical skills and similar educational backgrounds, Meta Machine Learning roles are more specialized in AI development, whereas Data Scientist roles emphasize data analysis and interpretation.

What are popular job titles related to Contract Meta Machine Learning jobs in Queens, NY?

For Contract Meta Machine Learning jobs in Queens, NY, the most frequently searched job titles are:

What job categories do people searching Contract Meta Machine Learning jobs in Queens, NY look for?

The top searched job categories for Contract Meta Machine Learning jobs in Queens, NY are:

What cities near Queens, NY are hiring for Contract Meta Machine Learning jobs?

Cities near Queens, NY with the most Contract Meta Machine Learning job openings:

Contract Meta Machine Learning jobs near you

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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