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Meta Machine Learning Jobs in New York (NOW HIRING)

Meta

Software Engineer, Systems ML

New York, NY · On-site +1

$154K/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 ...

Phia

Senior Machine Learning Engineer

New York, NY · On-site

$185K - $265K/yr

... Meta), and Mati Staniszewski (ElevenLabs), plus a roster of cultural leaders, to build the AI ... Own the end-to-end machine learning lifecycle, including data analysis, feature engineering, model ...

Meta

Research Scientist - Reality Labs

New York, NY

$184K/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

Software Engineer, Systems ML

New York, NY · On-site +1

$183K/yr

Meta is seeking a Research Engineer specializing in Systems Machine Learning to help design and build the infrastructure and algorithmic foundations that power large-scale AI systems across Meta ...

Meta

Research Scientist - Reality Labs

New York, NY · On-site

$184K - $257K/yr

... Meta's wearable platforms via our industry-leading electromyography (EMG) program. Our team within the Wearables Input and Interaction organization is multi-disciplinary, combining machine learning ...

Meta

Data Science Director (IC)

New York, NY

$253K/yr

... Machine Learning/AI to ensure every ad impression is meaningful. It is central to the entire ads experience we offer to users and advertisers and generates the vast majority of Meta's revenue. The ...

Meta

Software Engineer, Systems ML

New York, NY · On-site

$189K - $224K/yr

Meta is seeking a Research Engineer specializing in Systems Machine Learning to help design and build the infrastructure and algorithmic foundations tha.

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How much do meta machine learning jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for meta machine learning in New York is $23.33, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $25.00 per hour, depending on experience, location, and employer.

What is a Meta Machine Learning job?

A Meta Machine Learning job typically involves developing and optimizing machine learning models at scale, often within Meta (formerly Facebook). These roles focus on improving AI algorithms, researching new techniques, and deploying models across products like Facebook, Instagram, and WhatsApp. Engineers and researchers in this field work with large datasets, deep learning frameworks, and distributed computing. The role requires expertise in machine learning, software engineering, and data science to enhance Meta's AI-driven capabilities.

What are the key skills and qualifications needed to thrive in the Meta Machine Learning position, and why are they important?

To thrive in Meta Machine Learning, you need a deep understanding of advanced machine learning algorithms, meta-learning techniques, data science, and a degree in computer science or a related field. Experience with tools like Python, TensorFlow, PyTorch, as well as familiarity with cloud computing platforms and relevant certifications (such as AWS Certified Machine Learning Specialty) are highly valuable. Strong analytical thinking, creative problem-solving, and collaborative communication are essential soft skills for excelling in this area. These competencies enable practitioners to develop and optimize meta-learning models, drive innovation, and efficiently work in cross-functional tech teams.

What are some of the main challenges faced in a Meta Machine Learning role?

Professionals in Meta Machine Learning often encounter challenges such as working with limited labeled data, creating models that generalize well across diverse tasks, and optimizing algorithms to learn efficiently from smaller datasets. The fast-paced nature of research and the need to stay updated with cutting-edge advancements in the field can also require continual learning and adaptation. Collaboration with other data scientists, engineers, and domain experts is common, making teamwork and clear communication critical for successful project delivery. Overcoming these challenges not only sharpens technical skills but also offers rewarding opportunities for innovation and career growth in this evolving field.

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 are popular job titles related to Meta Machine Learning jobs in New York? For Meta Machine Learning jobs in New York, the most frequently searched job titles are:
What job categories do people searching Meta Machine Learning jobs in New York look for? The top searched job categories for Meta Machine Learning jobs in New York are:
Meta Machine Learning jobs near you
Infographic showing various Meta Machine Learning job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $48,535 per year, or $23.3 per hour.
Software Engineer, Systems ML

Software Engineer, Systems ML

Meta

New York, NY • On-site, Remote

$154K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

142nd of 217 rated software companies

Job description

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.
Software Engineer, Systems ML Responsibilities:
  • Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences
  • Goal setting related to project impact, AI system design, and infrastructure/developer efficiency
  • Directly or influencing partners to deliver impact through deep, thorough data-driven analysis
  • Drive large efforts across multiple teams
  • Define use cases, and develop methodology & benchmarks to evaluate different approaches
  • Apply in depth knowledge of how the ML infra interacts with the other systems around it
  • Mentor other engineers / research scientists & improve the quality of engineering work in the broader team

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design
  • Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python

Preferred Qualifications:
  • Experience with distributed systems or on-device algorithm development
  • Experience with recommendation and ranking models
  • Technical leadership experience
  • A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development or accelerating deep learning models on hardware architectures.
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. 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 for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,003/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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