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Temporary Meta Machine Learning Jobs in California

Machine Learning Engineer I

San Francisco, CA ยท On-site

$151K - $189K/yr

Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and ... Machine Learning is at the heart of Handshake's mission to democratize access to opportunity. Every ...

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 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 ...

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 Superintelligence Labs. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, robotics, and embodied AI ...

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 ...

Machine Learning Engineer

Palo Alto, CA ยท On-site

$55 - $75/hr

Job Title: Machine Learning Engineer Join us in our mission to accelerate the transition to ... If eligible, the benefits available for this temporary role may include the following: - Medical ...

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Temporary Meta Machine Learning information

What are some common challenges faced by professionals in temporary machine learning roles at Meta, and how can they be addressed?

Professionals in temporary machine learning roles at Meta often encounter challenges such as quickly acclimating to complex codebases, integrating with established teams, and delivering impactful results within a limited timeframe. Success in these roles typically requires strong technical skills, adaptability, and effective communication. Proactively seeking guidance, leveraging available documentation, and collaborating closely with permanent team members can help overcome these hurdles and maximize contributions during the temporary assignment.

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

AspectTemporary Meta Machine LearningData Scientist
CredentialsTypically requires a background in computer science, statistics, or related fields; certifications in machine learning or data analysis are commonRequires a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist are advantageous
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsFull-time or contract roles in various industries including finance, healthcare, and tech
Industry UsagePrimarily in tech, AI, and machine learning-focused companiesWidely used across multiple industries including finance, healthcare, marketing, and tech

Temporary Meta Machine Learning roles focus on short-term projects involving machine learning model development and deployment, often requiring specialized technical skills. Data Scientist roles are broader, encompassing data analysis, statistical modeling, and insights generation across diverse industries. While both roles require strong analytical skills and technical knowledge, Temporary Meta Machine Learning positions are more specialized in AI and machine learning applications.

What are the key skills and qualifications needed to thrive as a Temporary Meta Machine Learning Engineer, and why are they important?

To thrive as a Temporary Meta Machine Learning Engineer, you need a strong background in computer science, statistics, and machine learning, typically with experience in Python and relevant ML frameworks. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms, and version control systems is often required, along with a proven ability to rapidly learn new technologies. Strong problem-solving skills, adaptability, and effective communication are essential for collaborating within dynamic teams and meeting project goals on tight timelines. These skills ensure that you can quickly contribute to impactful ML projects, deliver results efficiently, and integrate well into fast-paced, innovative environments.

What are Temporary Meta Machine Learning jobs?

Temporary Meta Machine Learning jobs are short-term positions at Meta (formerly Facebook) that focus on developing, deploying, or researching machine learning models and technologies. These roles may support ongoing projects, fill gaps during employee leave, or address spikes in workload. Responsibilities can include data preprocessing, model training, evaluation, and collaborating with cross-functional teams. Temporary roles often give candidates exposure to Meta's cutting-edge AI tools and processes, and may sometimes lead to permanent opportunities.
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 Temporary Meta Machine Learning jobs in California? For Temporary Meta Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Temporary Meta Machine Learning jobs in California look for? The top searched job categories for Temporary Meta Machine Learning jobs in California are:
What cities in California are hiring for Temporary Meta Machine Learning jobs? Cities in California with the most Temporary Meta Machine Learning job openings:
Machine Learning Engineer I

Machine Learning Engineer I

Handshake

San Francisco, CA โ€ข On-site

$151K - $189K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

About Handshake

Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.

In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. Weโ€™ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.

Why join Handshake now:

  • Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel

  • Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the worldโ€™s top educational institutions

  • Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders

  • Build a massive, fast-growing business with billions in revenue

About Handshake AI

Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale.

The ML Opportunity at Handshake:

Machine Learning is at the heart of Handshake's mission to democratize access to opportunity. Every student deserves to be seen, not just by any employer, but by the right one. Machine learning is how we personalize discovery, match intent with opportunity, and drive better outcomes at scale.

What Makes This Role Unique:

  • End-to-end ownership: You'll work on the entire ML lifecycle, from data to deployment, not just one part

  • Product impact: Your ML systems directly impact millions of users and drive critical business metrics

  • Cutting-edge infrastructure: Work with embedding-based retrieval, Graph Neural Networks, and multi-stage rankers

  • Responsible AI: Contribute to explainability, fairness, and quality practices

  • Scale: Billions of data points powering our ML systems

  • World-class team: Leadership from Scale AI, OpenAI, xAI, Notion, Coinbase, and Palantir

What You'll Do

  • Innovator: Develop and iterate on machine learning models and features that directly influence user experience across lifecycle, notifications, and monetization โ€” with guidance from senior engineers.

  • Collaborator: Partner with senior engineers, data scientists, and product managers to develop and iterate on machine learning models that improve product features and user experience.

  • Learner: Grow your technical depth by working alongside experienced ML practitioners, picking up best practices in model development, experimentation, and production deployment.

Desired Capabilities

  • Bachelorโ€™s or advanced degree in Computer Science, Data Science, or a related field

  • 3 years of experience in machine learning, data science, or a related area

  • Proficient in Python, with hands-on experience in frameworks such as scikit-learn, PyTorch, or TensorFlow

  • Strong foundation in core ML concepts, including classification, regression, ranking, and model evaluation

Extra Credit

  • Exposure to areas such as recommendations, personalization, NLP, deep learning, LLMs, or explainable AI

  • Familiarity with the ML lifecycle (e.g., experiment tracking, model monitoring, feature pipelines)

  • Experience with cloud platforms (GCP, AWS, or Azure)

  • Clear communicator, able to translate technical work for diverse audiences

  • Collaborative mindset with experience working cross-functionally with product, analytics, and engineering teams

Perks

Handshake delivers benefits that help you feel supportedโ€”and thrive at work and in life.

The below benefits are for full-time US employees.

๐ŸŽฏ Ownership: Equity in a fast-growing company

๐Ÿ’ฐ Financial Wellness: 401(k) match, competitive compensation, financial coaching

๐Ÿผ Family Support: Paid parental leave, fertility benefits, parental coaching

๐Ÿ’ Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend

๐Ÿ“š Growth: $2,000 learning stipend, ongoing development

๐Ÿ’ป Remote & Office: Internet, commuting, and free lunch/gym in our SF office

๐Ÿ Time Off: Flexible PTO, 15 holidays + 2 flex days

๐Ÿค Connection: Team outings & referral bonuses

Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.

Compensation Range: $151K - $189K