ZipRecruiter

Log In

1

Learning Scientist Jobs in California (NOW HIRING)

Profluent

Machine Learning Scientist, BioML

Emeryville, CA · On-site +1

$200K - $330K/yr

We're looking for a motivated and creative Machine Learning (ML) Scientist to drive research into models at the intersection of complex protein biology and AI. This position offers an opportunity to ...

previous pagenext page

Showing results 21-40

All JobsLearning Scientist JobsLearning Scientist Jobs in California

Learning Scientist information

What is a learning scientist?

A Learning Scientist studies how people learn and applies research to improve education, training, and instructional design. They combine insights from cognitive science, psychology, education, and technology to develop effective learning environments. Their work may involve designing digital learning tools, analyzing learner behavior, and conducting research to enhance teaching methods. Learning Scientists often collaborate with educators, designers, and policymakers to optimize learning experiences in schools, workplaces, and online platforms.

What types of projects does a learning scientist typically work on within an organization?

Learning Scientists often design and evaluate educational programs, develop new instructional methods, or study how people learn in various environments. Their projects may include collaborating with educators to create digital learning tools, running experiments to measure student engagement or comprehension, and analyzing large data sets to assess the effectiveness of teaching strategies. Many Learning Scientists work closely with curriculum developers, technologists, and policymakers to implement and scale evidence-based improvements. This role provides continuous opportunities to tackle complex, real-world learning challenges while making a measurable impact on educational outcomes.

What are the key skills and qualifications needed to thrive as a learning scientist?

To thrive as a Learning Scientist, you need a solid background in educational psychology, research methods, data analysis, and often a doctoral degree in a related field. Familiarity with learning management systems (LMS), statistical software (such as SPSS or R), and experience conducting experiments or large-scale educational studies is valuable. Strong communication, critical thinking, and collaborative skills help Learning Scientists effectively share insights and work across multidisciplinary teams. These skills are essential for designing evidence-based interventions, analyzing learning outcomes, and driving educational innovation.

What are popular job titles related to Learning Scientist jobs in California?

For Learning Scientist jobs in California, the most frequently searched job titles are:

What job categories do people searching Learning Scientist jobs in California look for?

The top searched job categories for Learning Scientist jobs in California are:

What cities in California are hiring for Learning Scientist jobs?

Cities in California with the most Learning Scientist job openings:

Learning Scientist jobs near you
Infographic showing various Learning Scientist job openings in California as of August 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 95% In-person, and 5% Remote job distribution.

Senior Machine Learning Scientist

Tahoe Therapeutics

South San Francisco, CA • On-site

$200K - $275K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 4 days ago

Job description

About Tahoe Therapeutics
Tahoe Therapeutics is a biotechnology company pioneering a fundamentally new approach to drug discovery, one that begins with the biology of real patients. Our Mosaic platform is the first to make in vivo data generation scalable, with single-cell resolution, allowing us to map how drugs affect patient-derived cells in the body across a wide range of biological contexts. We are building the world's largest in vivo single-cell perturbation atlas and using it to train multimodal foundation models that learn the context-dependent nature of gene function, disease progression, and drug response.By combining cutting-edge machine learning with the most biologically relevant datasets ever assembled in drug discovery, our mission is to find better drugs, faster and bring them to more patients who need them.
Your role
With Tahoe-100M, we solved one of the fundamental bottlenecks in building a virtual model of the cell: generating massive, perturbation-rich, single-cell datasets that capture real biological causality. With Tahoe-x1, we removed the second bottleneck: creating a modern platform for rapid iteration on model architectures and designs in a cost-efficient manner and at scale. At Tahoe, we embody a simple philosophy: build in the open, shoot for the moon, and we're looking for people who want to push the frontier of what's possible.
As a Senior Machine Learning Scientist, you will play a leading role in designing the next generation of foundation models of gene regulatory networks powered by Tahoe's large scale single-cell datasets such as Tahoe-100M and beyond. This role is well-suited for someone with a strong background in machine learning and statistics, and an interest in applying cutting-edge breakthroughs in ML to meaningful problems in drug discovery. We are looking for non-incremental thinkers with the skills to help build models that can make a real impact on drug discovery.
Qualifications - Essential
  • PhD or equivalent practical experience in a technical field.
  • A proven track record of developing and applying deep learning methods, including experience with modern architectures such as transformers, state-space models, graph neural networks or diffusion-based generative models.
  • Proficiency with modern ML frameworks (e.g., PyTorch, JAX, or TensorFlow) and core scientific computing libraries (e.g., NumPy, SciPy, Pandas).
  • A genuine enthusiasm for applying cutting-edge ML research to real-world biological problems and a bias towards action.

Qualifications - Nice to have
  • Prior experience with ML applied to problems in biology or chemistry.
  • Familiarity with multimodal modeling, contrastive learning or self-supervised learning.
  • Experience with large scale distributed ML techniques (e.g., FSDP, TP, dMoE, flash attention)

Key Responsibilities
  • Develop and apply machine learning techniques towards building multimodal foundation models that bridge the chemical and biological domains, i.e.: integrate models of chemical structure, target protein sequence and whole transcriptome scRNAseq.
  • Stay at the forefront of ML and computational biology research and rapidly adopt state-of-the-art techniques to our problems and datasets.
  • Collaborate with our team of biologists and engineers in cross-functional pods to test novel ML-driven hypotheses.

Benefits
  • Unlimited Paid Time Off (PTO).
  • Monthly Lunch budget.
  • One-time Office set up budget.
  • US Employees: HMO Kaiser Platinum and PPO Anthem Gold medical as well as vision and dental plans for both the employee and dependents.

$200,000 - $275,000 a year
This position requires on-site presence at our South San Francisco office a minimum of three days per week.
We welcome applicants who require visa sponsorship and provide work authorization support for qualified candidates.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply