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Meta Machine Learning Jobs in California (NOW HIRING)

Meta

AI Research Scientist, Robotics

Burlingame, 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 ...

Meta

Fundamental AI Researcher - FAIR

Menlo Park, CA · On-site

$154K - $217K/yr

... machine learning models, and comparing alternative solutions, trade-offs, and different perspectives • Experience collaborating in a team environment on research projects About Meta Meta builds ...

Meta

Software Engineer, Systems ML

Sunnyvale, CA · On-site

$183K - $257K/yr

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal ... Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI ...

Meta

AI Research Scientist, Robotics

Menlo Park, CA

$219K/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

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.

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 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 California? The most popular types of Meta Machine Learning jobs in California are:
What are popular job titles related to Meta Machine Learning jobs in California? For Meta Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Meta Machine Learning jobs in California look for? The top searched job categories for Meta Machine Learning jobs in California are:
Meta Machine Learning jobs near you
Infographic showing various Meta Machine Learning job openings in California as of May 2026, with employment types broken down into 5% As Needed, 86% Full Time, and 9% Part Time. Highlights an 73% Physical, 10% Hybrid, and 17% Remote job distribution.
Postdoctoral Researcher, Fundamental AI Research (PhD)

Postdoctoral Researcher, Fundamental AI Research (PhD)

Meta

Menlo Park, CA • On-site

$122K - $181K/yr

Full-time

Posted 11 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

120th of 186 rated software companies

Job description

Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making fundamental progress in AI. Individuals in this role are expected to conduct cutting-edge research in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including topics such as deep learning, computer perception, natural language processing, representation learning, optimization, reinforcement learning, privacy in machine learning, security of AI systems, foundations of generative modeling, compression and information theory, and social implications of AI. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence.
Responsibilities
Directly contribute to experiments, including designing experimental details, developing reusable code, running evaluations, and organizing results
• Contribute to publications and open-sourcing efforts
• Work with a large team and play a significant role in healthy cross-functional collaboration
• Help identify long-term ambitious research goals as well as intermediate milestones
• Prioritize research that can be applied to Meta's product development
Minimum Qualifications
• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Currently has or is in the process of obtaining a PhD degree in Computer Science or a similar field. Degree must be completed prior to joining Meta
• Research background in machine learning, natural language processing, computer vision, computational statistics, applied mathematics, physics, or related areas
• Track record of recent and consistent publications reflecting expertise in theoretical and/or empirical research
• Experience solving analytical problems using analytic and quantitative approaches
• Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications
• First-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, ACL, NAACL, EMNLP, or similar)
• Experience communicating research for public audiences of peers. Experience working and communicating cross functionally in a team environment
• Experience solving complex problems and comparing alternative solutions, trade-offs, and different perspectives to determine a path forward
• Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions
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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