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Meta Machine Learning Jobs in New York (NOW HIRING)

Meta

Research Engineer, Monetization AI

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 ...

Meta

HR Business Partner, Instagram

New York, NY · On-site

$187K/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 Jun 15, 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.

Applied AIML & Gen AI Executive Director - Machine Learning Center of Excellence

JPMorganChase

Manhattan, NY • On-site

Full-time

Posted 25 days ago

Job description

Job Summary:
JPMorgan Chase is a leading financial institution focused on innovative financial solutions. The role of Machine Learning Director involves applying advanced machine learning techniques to solve complex problems and collaborating with various teams to deploy solutions that support the firm's commercial goals.
Responsibilities:
• Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
• Develop state-of-the-art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
• Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business
Qualifications:
Required:
• PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 7 years of industry or research experience in the field.
• Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
• Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
• Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
• Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
• Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
• Curious, hardworking and detail-oriented, and motivated by complex analytical problems
Preferred:
• Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development
• Knowledge in search/ranking, Reinforcement Learning or Meta Learning
• Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code
• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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