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Meta Machine Learning Jobs in New York (NOW HIRING)

GPTZero

Machine Learning Intern

New York, NY · On-site

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 ...

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 ...

Meta

Research Engineer, MRS AI

New York, NY

$121K/yr

Degree must be completed prior to joining Meta * Research experience in machine learning, deep learning, and/or recommender systems, natural language processing * Programming experience in Python and ...

Meta

Research Engineer, Monetization AI

New York, NY

$121K/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

Fundamental AI Researcher - FAIR

New York, NY

$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 ...

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 ...

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 ...

Meta

Research Engineer, Monetization AI

New York, NY

$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

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 ...

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Meta Machine Learning information

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How much do meta machine learning jobs pay per hour?

As of Jun 14, 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.

Does Meta have a machine learning engineer?

Yes, Meta employs machine learning engineers who develop and implement AI models to improve products like Facebook, Instagram, and WhatsApp. These roles typically require expertise in programming, data analysis, and machine learning frameworks such as PyTorch or TensorFlow. Candidates often need a strong background in computer science or related fields and experience with large-scale data processing.

What engineer makes $500,000 a year?

Senior machine learning engineers, especially those working at large tech companies or in specialized roles, can earn $500,000 or more annually. High compensation often includes base salary, bonuses, and stock options, and typically requires advanced skills in deep learning, data modeling, and experience with tools like TensorFlow or PyTorch.

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.

How much does Meta machine learning pay?

Meta machine learning roles typically offer salaries ranging from $120,000 to $200,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with higher salaries generally for senior or specialized positions requiring advanced skills in AI and data analysis.

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 is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or executive positions, often requiring advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch. These roles usually involve leadership, strategic planning, and significant industry expertise, and they are among the highest-paying positions in the tech field.

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 June 2026, with employment types broken down into 28% Internship, and 72% Full Time. Highlights an 100% In-person job distribution, with an average salary of $48,535 per year, or $23.3 per hour.

Machine Learning Intern

GPTZero

New York, NY • On-site

Internship

Medical, Dental, PTO

Posted 17 days ago

Job description

GPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we're building a category-defining company at the intersection of AI and information integrity.
Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm, and leading AI research labs, including Princeton, Caltech, and Vector Institute.
What we're looking for
At GPTZero, we ensure that machine learning models are created for the benefit of humanity, not the other way around.
In this role, you'll build the next-gen platform to verify the origin, quality, and factuality of the world's information. The ideal candidate is someone who has a history of ML research, possesses a great product sense, and is also an excellent software engineer. You'll be working on a fast-paced team of passionate builders, creating industry-defining software that has attracted over 2M users globally. Past intern projects have been the focus of demos to VCs and state-level policy leaders.
Responsibilities
Depending on the candidate, the role can be targeted more towards ML engineering or research (publication-focused)
  • Design, train, and fine-tune state-of-the-art large language models
  • Develop AI agents combined with retrieval-augmented language models
  • Build efficient and scalable ML training and inference systems
  • Stay up-to-date with the latest literature and emerging technologies to solve novel problems
  • Work closely with product and design teams to develop intuitive applications that create societal impact
Qualifications
  • Proficiency in Python and PyTorch
  • Experience pushing or implementing the cutting-edge in machine learning
  • Self-starter and hungry learner
  • Highly motivated to make positive societal impact
  • Ability to wear multiple hats
  • Visa for work in Canada or US
  • Bonus:
    • strong open-source portfolio
    • publications at top-tier ML venues
    • experience working in an early-stage startup environment
    • understanding of how machine learning models fail in the wild

Who you'll be joining
Our Team
You will be working directly with
  • Alex (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in ML
  • George (our AI research lead) PhD from University of Toronto and ex-AWS research.
  • Olivia (our head of design) on translating your research into outputs for millions of users.
  • Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we send to our community, and shape the GPTZero brand.

Additionally, you will be working with an experienced (eg. ex-Google, Meta, Microsoft, Bloomberg ML, Uber, Vector, MILA), diverse (eg. an engineering team with both Y-combinator and Obama scholarship recipients, a designer with art featured in the Met), and driven (eg. an operator who has scaled a company to 100M+ revenue and is committed to doing it again) group of individuals, described by one investor as one of the strongest founding teams seen in their career.
Together, we are committed to making a permanent impact on the future of writing, and on humanity.
Our Angels and Advisors
  • Tom Glocer (Legendary Reuters CEO)
  • Mark Thompson (Legendary NYT CEO and current CNN chief executive)
  • Jack Altman (CEO of Lattice, brother of Sam Altman)
  • Karthik Narasimhan (Princeton NLP Professor, co-author of OpenAI's original GPT paper)
  • Emad Mostaque (CEO of Stability AI)
  • Doug Herrington (CEO of Worldwide Amazon Stores)
  • Brad Smith (President of Microsoft)
  • Tripp Jones (Partner at Uncork Capital)
  • Ali Partovi (co-founder of Code.org, early investor in Dropbox and Airbnb)
  • Russ Heddleston (CEO of Docsend)
  • Alex Mashrabov (Snapchat, Director of AI)
  • Faizan Mehdi (Affinity, Director of Demand Generation)
Our Perks
  • Health, dental, and mental health benefits
  • Hybrid work in Toronto and NYC offices
  • Competitive salary
  • Flexible PTO
  • Regular company retreats
  • Mentorship opportunities with our world-class team, advisors, and investors
  • Wellness and learning stipend

At GPTZero, our recruiting team is involved in every step of the hiring process. We use AI-based tools (such as Endorsed.ai and Juicebox.ai) to help us to accelerate candidates at the resume review stage by marking when candidates met certain key criteria. These tools are never the final say in a hiring decision - humans are.

Apply