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Meta Machine Learning Jobs in New York (NOW HIRING)

Meta

Data Science Director (IC)

New York, NY · On-site

$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

Research Scientist - Reality Labs

New York, NY · On-site

$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

$189K - $224K/yr

Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that.

Meta

Software Engineer, Systems ML

New York, NY

$154K/yr

Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive scale. In ...

Meta

Technical Program Manager, Ads Ranking

New York, NY · On-site

$168K/yr

Meta Ads Ranking seeks a Technical Program Manager (TPM) to lead complex, large-scale programs advancing our infrastructure and platforms with the state-of-the-art in machine learning and AI systems ...

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 ...

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How much do meta machine learning jobs pay per hour?

As of Sep 2, 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?

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 meta machine learning?

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 August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $48,535 per year, or $23.3 per hour.

Software Engineer (Technical Leadership)

Meta

New York, NY

$271K/yr

Full-time

Re-posted 28 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies

Job description

Meta is seeking a Software Engineer to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer (Technical Leadership) Responsibilities:
  • Drive the team's goals & technical direction to pursue opportunities that make your larger organization more efficient.
  • Effectively communicate complex features & systems in detail.
  • Understand industry & company-wide trends to help assess & develop new technologies.
  • Partner & collaborate with organization leaders to help improve the level of performance of the team & organization.
  • Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas.
  • Suggest, collect and synthesize requirements and create an effective feature roadmap.
  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Experience leading projects with industry-wide impact.
  • Experience communicating and working across functions to drive solutions.
  • Experience in mentoring/influencing engineers across organizations.
  • Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term vision.
  • Experience in driving large cross-functional/industry-wide engineering efforts.
  • 12+ years of experience in programming languages (Python, C++, or Java) with technical background.
  • 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or deep learning based methods.

Preferred Qualifications:
  • Experience in shipping products to millions of customers or have started a new line of product.

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.
$271,000/year to $347,000/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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