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Senior Meta Machine Learning Jobs in Berkeley, CA

Meta

Computer Vision Engineer

Burlingame, CA · On-site

$183K - $257K/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

Research Scientist, Wearables AI

Burlingame, CA

$184K/yr

Meta is seeking a Research Scientist with experience in product-focused signal processing and machine learning to help us create novel wearable sensors and algorithms to power the next generation of ...

Meta

Research Engineer, Monetization AI

Menlo Park, 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 ...

Taskrabbit

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL ...

Freenome

Senior Machine Learning Engineer

Brisbane, CA · On-site

$147K - $194K/yr

The Senior Machine Learning Research Engineer will primarily be responsible for developing and deploying the infrastructure needed to support development of such DL models: enabling distributed DL ...

Meta

Research Scientist, World Modelling

Menlo Park, CA

$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 ...

New

Meta

Software Engineer, Systems ML

Menlo Park, 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

Partner Engineer, Generative AI

Menlo Park, CA

$149K/yr

Meta is seeking a Partner Engineer to join Meta's AI Partner Engineering team, a technical team that works with strategic partners, machine learning organizations across the industry and all major ...

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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 Jul 15, 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 July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $98,307 per year, or $47.3 per hour.
Computer Vision Engineer

Computer Vision Engineer

Meta

Burlingame, CA • On-site

$183K - $257K/yr

Full-time

Posted 6 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

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 models from development through deployment, collaborating across teams to ship gesture-based interactions on Quest and Meta Glasses. This is not a pure research position; we're looking for someone who thrives at turning cutting-edge ML into real products that reach millions of users.
Responsibilities
Own end-to-end development of gesture recognition ML models from prototyping to production deployment on AR/VR devices
• Collaborate with cross-functional teams including research, hardware, product, and platform engineering to integrate models into shipping products
• Optimize ML models for on-device performance, balancing accuracy, latency, and power constraints
• Partner with Reality Labs Research (RL-R) to translate research breakthroughs into production-ready solutions
• Define technical direction and mentor engineers on ML productization best practices
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, or equivalent practical experience
• Experience shipping ML models to production
• Background in computer vision or machine learning, with focus on areas such as gesture recognition, pose estimation, or object tracking
• Experience with model optimization for edge/on-device deployment
• Track record of cross-functional collaboration to deliver ML-powered features
Preferred Qualifications
• Experience deploying ML models on edge devices
• Experience with gesture recognition, hand tracking, or human pose estimation
• Background in real-time inference, model compression, or quantization techniques
• 5+ years of industry experience in machine learning or computer vision
• MS or PhD in Computer Science, Machine Learning, Computer Vision, or related field
• Publication track record at conferences such as CVPR, NeurIPS, ECCV, ICCV, ICML
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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