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Overnight Machine Learning R Jobs in Berkeley, CA

Research Scientist, AI

San Francisco, CA · On-site

$150K - $275K/yr

... R&D. Responsibilities * Integrate machine learning techniques to accelerate scientific simulations, modeling, and computational workflows * Develop AI-augmented tools for materials science, device ...

Research Scientist, AI

San Francisco, CA · On-site

$150K - $275K/yr

... R&D. Responsibilities * Integrate machine learning techniques to accelerate scientific simulations, modeling, and computational workflows * Develop AI‑augmented tools for materials science, device ...

(USA) Data Scientist III

San Mateo, CA · On-site

$117K - $234K/yr

The Data Scientist develops machine learning models and data-driven solutions that improve Search ... or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value ...

(USA) Data Scientist III

Hayward, CA · On-site

$117K - $234K/yr

The Data Scientist develops machine learning models and data-driven solutions that improve Search ... or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value ...

You will help find the appropriate AI/machine learning algorithms to answer those questions and ... Experience with prototyping languages such as Python and R * Strong mathematical background (linear ...

Director of R & D

San Francisco, CA · On-site

$210K - $240K/yr

... machine learning team and the research team on all product development on improvement projects Key Qualifications ? 10 or more years of progressive R&D experience in plant-based food products ...

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 ... R) to translate research breakthroughs into production-ready solutions • Define technical ...

... R is nice to have) , and experience with machine learning libraries/frameworks like Scikit-learn, TensorFlow, or PyTorch. • Proficiency in SQL and experience working with large datasets or cloud ...

... R is nice to have) , and experience with machine learning libraries/frameworks like Scikit-learn, TensorFlow, or PyTorch. • Proficiency in SQL and experience working with large datasets or cloud ...

... involving machine learning, data pipelines, or cloud infrastructure. * Technical Expertise ... cus tome r needs and technical feasibility. * Continuous Improvement: Identifying areas for ...

Platform Fellow

Emeryville, CA · On-site

$8.0K - $12K/mo

PhD in computational biology, statistics, machine learning, genetics, evolutionary biology, or a related quantitative field * Strong programming skills (Python and/or R required; familiarity with ...

Proficiency in programming languages such as Python, R, or similar, with experience in machine learning libraries and frameworks * Willingness to work in person at our office 4-5 days a week Why Join ...

Proficiency in programming languages such as Python, R, or similar, with experience in machine learning libraries and frameworks * Willingness to work in person at our office 4-5 days a week Why Join ...

Analyzing and investigating complex data sets using machine learning and natural language models to ... or R Company : Perfict Global is an IT consulting services provider, focused on providing ...

Senior AI Scientist

Oakland, CA · On-site

$180K - $243K/yr

This team embeds artificial intelligence and machine learning into our product portfolio and ... languages such as R or Python with scikit-learn * Efficient in SQL, Hive, or SparkSQL, etc.

Meta Reality Labs is seeking a Machine Learning Engineer to drive the productization of gesture ... Partner with Reality Labs Research (RL-R) to translate research breakthroughs into production-ready ...

This team embeds artificial intelligence and machine learning into our product portfolio and ... languages such as R or Python with scikit-learn * Efficient in SQL, Hive, or SparkSQL, etc.

Showing results 41-60

Overnight Machine Learning R information

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Research Scientist, AI

San Francisco, CA • On-site

Substrate
1 - 10 employees

$150K - $275K/yr

Full-time

Re-posted 26 days ago


Job description

Research Scientist, AI
Substrate is addressing one of the most important technological problems facing the United States. At the intersection of advanced manufacturing and cutting-edge physics, we are developing technologies that will reshape the semiconductor industry and strengthen America's technological leadership. We are a team of world-class scientists, engineers, and technical experts building technology for the United States.
Summary
As a Research Scientist working with AI, you will accelerate and augment R&D workflows by applying machine learning to scientific simulations and modeling while simultaneously building internal AI capabilities across the organization. This role sits at the intersection of cutting-edge physics and artificial intelligence, and you'll work hands-on to develop AI-augmented tools that enable breakthrough research, and build the infrastructure and expertise that empowers our technical teams to leverage AI in their own work. Whether you are a physicist who has embraced machine learning or an AI expert with deep scientific domain knowledge, you will play a pivotal role in defining how we utilize AI to accelerate our own internal R&D.
Responsibilities
  • Integrate machine learning techniques to accelerate scientific simulations, modeling, and computational workflows
  • Develop AI-augmented tools for materials science, device physics, or accelerator physics applications
  • Build internal AI infrastructure and capabilities to enable research teams across the organization
  • Train and mentor scientists and engineers on integrating AI/ML into their research workflows
  • Implement surrogate models, physics-informed neural networks, or generative approaches for scientific problems
  • Develop data pipelines and frameworks for scientific machine learning across distributed teams
  • Collaborate with computational physicists and experimentalists to identify high-impact AI applications
  • Set AI best practices and establish standards for ML-augmented R&D

Required Qualifications
  • 5+ years professional or academic research experience in physical sciences, engineering, or related field
  • 2-3+ years hands-on experience applying machine learning to scientific or technical problems
  • Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow, JAX, or similar)
  • Deep understanding of scientific computing, numerical methods, and computational modeling
  • Proven ability to translate scientific problems into machine learning approaches
  • Experience building tools, infrastructure, or capabilities used by technical teams

Preferred Qualifications
  • PhD in Physics, Materials Science, Computer Science, Applied Mathematics, or related field
  • Publications applying ML to scientific computing, simulation, or experimental data analysis
  • Experience with physics-informed machine learning or scientific foundation models
  • Background in accelerator physics, semiconductor devices, materials modeling, or related domains
  • Track record of enabling technical teams through tool development or mentorship

Salary Range
$150,000-$275,000 USD
Substrate is an equal opportunity employer. It provides equal employment opportunity to all applicants without regard to race, color, religion, national origin, disability, medical condition, marital status, sex, gender, age, military or veteran status, or any other characteristic protected by applicable federal, state, or local laws.
Substrate will provide reasonable accommodations to applicants with disabilities. If you need an accommodation during the hiring process, please let your recruiter know.
Applicants must be legally authorized to work in the United States. This position is not eligible for visa sponsorship.