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Climate Research Scientist Machine Learning Jobs in San Ramon, CA

Meta

Research Scientist, Machine Learning

Sunnyvale, CA · On-site

$122K/yr

Meta is seeking a Research Scientist to join our Core Machine Learning Research team, where we advance the foundational AI and ML technologies that power Meta's family of products at scale. In this ...

Meta

Research Scientist, Machine Learning

Sunnyvale, CA · On-site

$122K - $181K/yr

Meta is seeking a Research Scientist to join our Core Machine Learning Research team, where we advance the foundational AI and ML technologies that power Meta's family of products at scale. In this ...

Substrate Inc.

Research Scientist, AI

San Francisco, CA · On-site

$150K - $275K/yr

Research Scientist, AI Location Employment Type Full time Location Type On-site Department ... Integrate machine learning techniques to accelerate scientific simulations, modeling, and ...

Substrate

Research Scientist, AI

San Francisco, CA · On-site

$150K - $275K/yr

Research Scientist, AI Substrate is addressing one of the most important technological problems ... Integrate machine learning techniques to accelerate scientific simulations, modeling, and ...

Perdurable AI

AI Research Scientist

San Francisco, CA · On-site

PhD or MS in Computer Science, Machine Learning, or related field * 3+ years of experience in deep learning and computer vision research * Strong programming skills in Python and experience with ...

Lead Allies Inc.

Research Scientist

San Francisco, CA · On-site

Research Scientist / Machine Learning Scientist Location: SF Bay Area/Hybrid / Remote Type: Full-Time About the Role: The Client is seeking a variety of Machine Learning Scientist to help advance how ...

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All JobsClimate Research Scientist Machine Learning JobsClimate Research Scientist Machine Learning Jobs in San Ramon, CA

Climate Research Scientist Machine Learning information

See San Ramon, CA salary details

$56.4K

$145.4K

$194.4K

How much do climate research scientist machine learning jobs pay per year?

As of Sep 10, 2026, the average yearly pay for climate research scientist machine learning in San Ramon, CA is $145,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,100.00 and $193,300.00 per year, depending on experience, location, and employer.

What does a climate research scientist specializing in machine learning do?

A Climate Research Scientist who specializes in Machine Learning uses advanced algorithms and computational models to analyze climate data and improve predictions about climate change. They work with large datasets from satellites, weather stations, and simulations to identify patterns, make forecasts, and assess environmental impacts. Their work helps inform policy decisions, guide mitigation strategies, and advance our scientific understanding of the Earth's climate system. Collaboration with other scientists, governments, and organizations is often a key part of the role.

What are the key skills and qualifications needed to thrive as a climate research scientist specializing in machine learning?

To thrive as a Climate Research Scientist specializing in Machine Learning, you need a solid background in climate science, statistical analysis, and advanced machine learning techniques, typically supported by a graduate degree in a related field. Experience with programming languages like Python or R, familiarity with climate modeling software, and proficiency in machine learning frameworks such as TensorFlow or PyTorch are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help you explain complex findings to diverse audiences and collaborate across disciplines. These skills and qualities are crucial for advancing climate research, developing innovative solutions, and informing policy decisions based on robust data analysis.

How do climate research scientists specializing in machine learning typically collaborate with multidisciplinary teams?

Climate Research Scientists with expertise in Machine Learning often work closely with meteorologists, data engineers, environmental scientists, and policy experts. They contribute by developing and refining predictive models using large climate datasets, while also translating complex outputs into actionable insights for decision-makers. Collaboration often involves regular team meetings, joint publications, and integrating domain expertise to ensure that the models are both scientifically robust and practically useful. Strong communication skills are valuable, as these scientists frequently explain technical concepts to colleagues from non-technical backgrounds.

What is the difference between Climate Research Scientist Machine Learning vs Climate Data Analyst?

AspectClimate Research Scientist Machine LearningClimate Data Analyst
Required CredentialsMaster's or PhD in Climate Science, Data Science, or related fields; knowledge of machine learningBachelor's or Master's in Environmental Science, Data Analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, universities, environmental agencies, often collaborative and interdisciplinaryGovernment agencies, consulting firms, NGOs; focus on data processing and reporting
Employer & Industry UsageResearch institutions, academia, environmental organizations integrating machine learningPolicy organizations, environmental consultancies analyzing climate data

While both roles involve climate data, Climate Research Scientist Machine Learning focuses on developing predictive models using advanced algorithms, whereas Climate Data Analysts primarily process and interpret climate datasets to inform decisions. The former requires more specialized knowledge in machine learning techniques, while the latter emphasizes data management and reporting skills.

What are popular job titles related to Climate Research Scientist Machine Learning jobs in San Ramon, CA?

For Climate Research Scientist Machine Learning jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Climate Research Scientist Machine Learning jobs in San Ramon, CA look for?

The top searched job categories for Climate Research Scientist Machine Learning jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Climate Research Scientist Machine Learning jobs?

Cities near San Ramon, CA with the most Climate Research Scientist Machine Learning job openings:

Climate Research Scientist Machine Learning jobs near you
Infographic showing various Climate Research Scientist Machine Learning job openings in San Ramon, CA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 25% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $145,408 per year, or $69.9 per hour.

Research Scientist, Machine Learning

Sunnyvale, CA • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$122K/yr

Full-time

Posted 21 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta is seeking a Research Scientist to join our Core Machine Learning Research team, where we advance the foundational AI and ML technologies that power Meta's family of products at scale. In this role, you will conduct original research in areas such as deep learning, representation learning, generative modeling, optimization, and large-scale model architectures. You will collaborate closely with researchers and engineers across the organization to translate novel findings into real-world impact, publish at top-tier venues, and help shape the direction of machine learning research at Meta.
Research Scientist, Machine Learning Responsibilities:
  • Conduct original research in core machine learning areas including deep learning, representation learning, generative modeling, optimization, and large-scale model architectures
  • Design, implement, and evaluate novel ML algorithms and models using frameworks such as PyTorch, iterating based on experimental results and data-driven insights
  • Run controlled experiments to test research hypotheses, analyze outcomes, and make informed decisions in collaboration with research and engineering partners
  • Write clean, well-structured research code and contribute to shared codebases, ensuring reproducibility and maintainability of experiments
  • Produce and submit research findings to top-tier machine learning conferences and workshops such as NeurIPS, ICML, ICLR, or similar venues
  • Collaborate with cross-functional partners across research, engineering, and product teams to integrate research innovations into production systems at scale
  • Participate in code and design reviews, providing and incorporating technical feedback to improve research quality and implementation robustness
  • Build logging, monitoring, and evaluation pipelines to track model performance and detect regressions during research and deployment phases
  • Contribute to the health of the research community by participating in programs such as reading groups, research reviews, and onboarding support for incoming researchers

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 Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, or a related technical field. Degree must be completed prior to joining Meta
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • 2+ years of research experience in machine learning, including designing and implementing novel algorithms using deep learning frameworks such as PyTorch or TensorFlow
  • 2+ years of experience with Python or C++ for research and systems development in machine learning contexts
  • Experience conducting experiments to validate research hypotheses and communicating findings through written papers, technical reports, or presentations

Preferred Qualifications:
  • Demonstrated software engineering experience through open-source contributions, research internships, or widely adopted research implementations
  • Experience manipulating and analyzing large-scale, high-dimensional datasets for model training and evaluation
  • Research experience in one or more specialized areas including large language models, self-supervised learning, reinforcement learning, causal inference, graph neural networks, or ML systems and hardware-software co-design
  • Proven research contributions demonstrated by first-authored publications at leading venues such as NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, or similar conferences

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.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. 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 for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$122,000/year to $181,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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