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Meta Machine Learning Jobs in New York (NOW HIRING)

Meta

Product Designer, Human Interface

New York, NY

$139K/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 ...

Kepler

Machine Learning Engineer

New York, NY · On-site

$200K - $280K/yr

This includes founders of OpenAI, Meta AI Research, MotherDuck, dbt Labs and Square as well as ... Learning budget - attend any conference, course, or program that makes you better at what we're ...

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Meta Machine Learning information

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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.
AI Research Scientist, CoreML - Monetization

AI Research Scientist, CoreML - Monetization

Meta

New York, NY

$184K/yr

Full-time

Posted 12 days ago

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’s Monetization pillar is at the cutting edge of delivering highly personalized ads that create maximum value for both users and advertisers. Within this pillar, the Ranking & AI (RAI) Research team drives state-of-the-art research initiatives, focusing on high-impact, high-risk projects—true moonshots—with the potential to redefine Meta’s monetization strategies. By consistently pushing the boundaries of what’s possible, we deliver breakthrough innovations that not only advance Meta’s business objectives but also result in publications at top-tier conferences.Inspired by recent breakthroughs in large language models (LLMs), the RAI Sequence Learning team is pioneering a transformative approach to recommender systems. We are reimagining recommendation as a generative sequence modeling problem, moving beyond traditional methods that treat recommendations as classification tasks on pairs. Instead, our approach models user and ad content, as well as historical interaction data, as sequences—unlocking new possibilities for personalization and relevance.As a research scientist on this team, you will play a pivotal role in shaping the future of technology and business at Meta, especially as we enter the era of artificial general intelligence (AGI). Your contributions will directly influence the trajectory of Meta’s monetization strategies and help define the next generation of recommender systems.
AI Research Scientist, CoreML - Monetization Responsibilities:
  • Extracting meaningful signals from both 1st-party and 3rd-party data sources
  • Advancing representation learning
  • Scaling solutions to efficiently process hundreds of billions of data points
  • Driving continuous algorithmic innovation
  • Seamlessly productionizing research breakthroughs all while optimizing serving costs

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • PhD in Computer Science, Machine Learning, or a relevant technical field
  • 3+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML model training
  • Experience as a technical lead on a team and/or leading complex technical projects from end-to-end
  • Publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
  • Programming experience in Python and hands-on experience with frameworks such as PyTorch
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • A track record of impactful research in the ranking/retrieval/recommendation space, as demonstrated by publications, open-source contributions, or real-world deployments
  • First-authored publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)
  • Experience in pre-training, post-training, fine-tuning models
  • Experience in causal learning, sequence learning, classification, neural networks, graph learning, items associated, in-depth content understanding (user behavior, user interaction)
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward
  • Willing to collaborate with others in a productive, interdisciplinary environment

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.
$184,000/year to $257,000/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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