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Senior Meta Machine Learning Jobs in Berkeley, CA

Meta

Computer Vision Engineer

Burlingame, CA

$183K/yr

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture recognition models for our AR/VR devices. This role bridges research and production--you'll take ML ...

Meta

Computer Vision Engineer

Burlingame, CA

$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

AI Research Manager

Menlo Park, CA · On-site +1

$219K/yr

In this role, you will drive the strategy, execution, and culture of AI research teams working on large-scale machine learning systems, foundation models, and applied AI innovations that power Meta ...

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All JobsMeta Machine Learning JobsSenior Meta Machine Learning JobsSenior Meta Machine Learning Jobs in Berkeley, CA

Senior Meta Machine Learning information

See Berkeley, CA salary details

$30.6K

$98.3K

$200.2K

How much do senior meta machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior meta machine learning in Berkeley, CA is $98,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,800.00 and $126,100.00 per year, depending on experience, location, and employer.

What is the difference between Senior Meta Machine Learning vs Data Scientist?

AspectSenior Meta Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, ML, or related fields; experience with meta-learning frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch-focused teams developing advanced ML models, often in AI companiesData analysis, modeling, and visualization across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, tech companies

While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.

What are popular job titles related to Senior Meta Machine Learning jobs in Berkeley, CA? For Senior Meta Machine Learning jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Senior Meta Machine Learning jobs in Berkeley, CA look for? The top searched job categories for Senior Meta Machine Learning jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Senior Meta Machine Learning jobs? Cities near Berkeley, CA with the most Senior Meta Machine Learning job openings:
Senior Meta Machine Learning jobs near you
Infographic showing various Senior Meta Machine Learning job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $98,307 per year, or $47.3 per hour.

AI Research Scientist - Meta Superintelligence Lab (Technical Leadership)

Meta

Menlo Park, CA • On-site

$219K - $301K/yr

Full-time

Posted 2 days ago

New

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

135th of 242 rated software companies

Job description

Meta is seeking Research Scientists to join the Product and Applied Research organization within MSL (Meta Superintelligence Lab). This role requires industry experience working on LLM post-training and the ability to apply relevant AI techniques to build intelligent rich language systems that improve Meta's products and experiences.
Responsibilities
Help advance the science and technology of intelligent machines
• Work on research projects, strategies, and problems of moderate to high complexity and scope. Identify and define both short- and medium-term objectives
• Influence progress of relevant research communities by producing publications
• Establish strong connection with cross-functional partners and contribute research with the goal of applying to Meta's product development
• Lead and collaborate on research projects within a team
• Design policies, processes, procedures, methods, tests, and/or components, from the ground up for end-to-end systems
• Apply in-depth knowledge of how the machine learning system interacts with the other systems around it
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Ph.D. and publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields
• Proven track record of recent and consistent publication/citation history
• Experience leading a team in solving modeling problems using AI/ML approaches
• Experience in applying research to production problems
• Experience communicating research for public audiences of peers
Preferred Qualifications
• 4+ years of experience conducting AI research post PhD
• 4+ years of experience as a tech lead in leading complex technical projects from end to end
• Experience working on frontier-quality/ state-of-the-art Large Language Models
• Experience bringing machine learning-based products from research to production
• First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, AAAI)
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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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