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Climate Research Scientist Machine Learning Jobs in San Ramon, CA

Research Scientist

San Francisco, CA · On-site

$120 - $250/hr

  • Medical

  • Dental

  • Vision

Research and implement state-of-the-art robot learning policies, including reinforcement learning ... Master's/PhD degree in Computer Science, Machine Learning, Robotics, or equivalent technical ...

New

AI Research Scientist, Robotics Responsibilities: * Perform fundamental and applied research to ... Develop algorithms based on state-of-the-art machine learning and neural network methodologies

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This position spans foundational research in deep learning, hands-on model development, and ... PhD in computer science, machine learning, computational neuroscience, or related fields (or ...

Research Scientist

San Francisco, CA · On-site

$120 - $160/hr

The AI Research Scientist will work closely with the founding team to design and implement AI ... Manage and lead large-scale machine learning research projects, ensuring they align with business ...

New

Machine Learning Scientist

San Francisco, CA · On-site

$180 - $270/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Machine Learning Scientist, you will develop cutting‑edge AI models to integrate and decode ... This position spans foundational research in deep learning, hands‑on model development, and ...

The ideal Research Scientist candidate will use their skills in system design and modeling and ... Develop algorithms based on state-of-the-art machine learning and neural network methodologies

Machine Learning Scientist, Pretraining

Emeryville, CA · On-site +1

$200K - $330K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Role We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into pretraining large-scale deep learning models for biomolecular design. This position offers ...

Machine Learning Scientist, Pretraining

Emeryville, CA · On-site

$200 - $330/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Role We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into pretraining large-scale deep learning models for biomolecular design. This position offers ...

New

Research Scientist

San Francisco, CA · On-site

$150 - $250/hr

  • Medical

  • Dental

  • Vision

Research and implement state-of-the-art robot learning policies, including reinforcement learning ... PhD or MS degree in Computer Science, Machine Learning, Robotics, or equivalent technical ...

New

Research Scientist

San Francisco, CA · On-site

$100 - $130/hr

Research Scientist Cursor is building the future of coding. We train frontier coding agents and ... You have a deep background in RL and strong machine learning fundamentals * You're an excellent ...

New

Senior Research Scientist

San Francisco, CA · On-site

$190K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Lead research in advanced machine learning areas such as LLMs, generative AI, foundational modeling, optimization techniques, diffusion models, and novel Transformer architectures. * Design ...

Anysphere is focused on automating coding and is seeking Research Scientists to drive effective RL ... Required : • You have a deep background in RL and strong machine learning fundamentals • You're ...

Showing results 41-60

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 Aug 19, 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:

Infographic showing various Climate Research Scientist Machine Learning job openings in San Ramon, CA as of August 2026, with employment types broken down into 9% Internship, 72% Full Time, 9% Part Time, 5% Temporary, and 5% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $145,408 per year, or $69.9 per hour.

Research Scientist

Rainfall Ventures

San Francisco, CA • On-site

$120 - $250/hr

Other

Medical, Dental, Vision

Posted yesterday

New


Job description

What you’ll do
  • Design and develop robot autonomy software stack and algorithms to enable capabilities including grasping and more dexterous behaviors in unstructured environments
  • Research and implement state-of-the-art robot learning policies, including reinforcement learning and imitation learning-based techniques
  • Build reliable, high-speed robot autonomy software stack optimized for inference performance
  • Design and maintain robust data collection and curation pipelines for production robot fleets
  • Optimize robot policies for distributed training at scale and real-time edge deployment
  • Ship production quality, safety-critical software
Required Qualifications
  • Master’s/PhD degree in Computer Science, Machine Learning, Robotics, or equivalent technical discipline
  • Deep expertise in machine learning fundamentals, reinforcement learning, and associated frameworks (PyTorch, TensorFlow, Ray, etc.)
  • 3+ years of proven track record developing and deploying ML systems from research through production implementation
  • Hands‑on experience with model lifecycle management including training, deployment, and maintenance in production settings
Preferred Qualifications
  • Authored or co‑authored peer‑reviewed publications in robotics or related fields
  • Hands‑on experience designing and implementing bimanual manipulation tech stacks with imitation learning or RL-based methods
  • Background in real‑time ML inference systems, simulation‑to‑reality transfer, or advanced reinforcement learning implementations
Benefits
  • We support publishing at top robotics/ML venues and presenting at conferences (travel + time fully covered).
  • Advance SOTA dexterous manipulation research through novel methodologies while bridging theory & practice—real customer use‑cases with clear success criteria.
  • Medical, dental & vision plans
  • Daily meals stipend
Expected Compensation
  • $120,000 - $250,000 annual salary + cash and stock awards + benefits
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