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Learning Analytics Jobs in California (NOW HIRING)

Serene Health

Learning Specialist

Sacramento, CA · On-site

Analyze learner feedback, training metrics, and performance outcomes. * Support with Learning Management Systems (LMS) to administer and update courses. * Gather learner feedback and recommend ...

Apple

WPC Apple Card Data Scientist

Cupertino, CA · On-site

... Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred. Previous experience working in the credit card industry at an issuer, network or co-brand ...

Apple, Inc.

WPC Apple Card Data Scientist

Cupertino, CA · On-site

... Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred. Previous experience working in the credit card industry at an issuer, network or co-brand ...

Forge Global

Analytics Manager

San Francisco, CA

Machine Learning & AI * Develop predictive and statistical models that improve business outcomes ... Apply modern analytical techniques, including machine learning, statistical modeling, automation ...

New

Serene Health

Learning Specialist

Sacramento, CA · On-site

Analyze learner feedback, training metrics, and performance outcomes. * Support with Learning Management Systems (LMS) to administer and update courses. * Gather learner feedback and recommend ...

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Learning Analytics information

What are the key skills and qualifications needed to thrive in learning analytics?

To thrive in Learning Analytics, you need strong analytical skills, experience with data analysis, and a background in educational research or instructional design, typically supported by a relevant degree. Familiarity with Learning Management Systems (LMS), statistical tools like R or Python, and certifications in data analytics are commonly expected. Excellent communication skills, problem-solving abilities, and a collaborative mindset help professionals convey insights and work effectively with educators and administrators. These skills are essential for interpreting educational data, driving improvements in teaching and learning, and supporting data-driven decisions in academic environments.

What is learning analytics?

A Learning Analytics job involves collecting, analyzing, and interpreting data related to learners' performance and educational experiences. Professionals in this field use data-driven insights to improve teaching strategies, personalize learning experiences, and enhance institutional decision-making. They work with various analytical tools, machine learning models, and data visualization techniques to identify patterns and trends. This role is common in educational institutions, corporate training programs, and EdTech companies.

What does someone in learning analytics do?

Professionals in Learning Analytics typically spend their days collecting, cleaning, and analyzing educational data to identify patterns that can improve student outcomes and learning processes. They work closely with faculty, instructional designers, and IT teams to generate reports, visualize trends, and advise on data-backed strategies for curriculum improvement. Day-to-day tasks also involve maintaining data integrity, developing dashboards, and communicating findings in accessible ways to stakeholders. Collaboration and ongoing learning are integral, as the field continually evolves with advances in education technology and analytical methods.

What are the most commonly searched types of Learning Analytics jobs in California?

The most popular types of Learning Analytics jobs in California are:

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

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

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

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

What cities in California are hiring for Learning Analytics jobs?

Cities in California with the most Learning Analytics job openings:

Learning Analytics jobs near you
Infographic showing various Learning Analytics job openings in California as of August 2026, with employment types broken down into 6% Internship, 77% Full Time, and 17% Part Time. Highlights an 83% In-person, and 17% Remote job distribution.

Machine Learning Engineer - Reinforcement Learning

Albert Invent

Fremont, CA • On-site

$150 - $250/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Responsibility
  • Build scalable systems for training and fine‑tuning large generative models that produce realistic, informative driving behaviors for evaluation and scenario coverage.
  • Implement and iterate on RL‑style methods: algorithms, reward / preference objectives, and training setups suited to high‑fidelity, insightful behaviors in simulation‑aligned workflows (closed‑loop evaluation mindset).
  • Ship deep learning solutions (including LLM / VLM where appropriate) that improve human‑led triaging, automate high‑volume workflows, and support nuanced analysis of self‑driving behavior to surface critical anomalies.
  • Own production‑oriented ML for fleet‑scale assessment: training, optimization, monitoring, and iteration of models used to judge performance across large real‑world exposure.
  • Design and evolve data + evaluation systems inspired by RL from human preferences (RLHF) and related paradigms—turning preference/judgment signals into repeatable, scalable training and evaluation loops.
  • Partner broadly with teams such as Prediction, Planning, Research, and platform/engineering leads to land cross‑cutting improvements with clear metrics.
Qualifications
  • M.S. or Ph.D. in Computer Science, Machine Learning, AI, or a related field—or equivalent practical experience.
  • Hands‑on experience building and applying ML in production‑grade settings, with a strong RL component (policy learning, preference/feedback optimization, or offline/online RL pipelines).
  • Depth in deep learning, sequence modeling, and generative models.
  • Demonstrated impact via strong publications or a clear history of shipping impactful ML systems end‑to‑end.
  • Experience with large‑scale distributed training and large‑scale data processing.
  • Ability to lead ambiguous technical work from problem framing through reliable delivery.
Preferred
  • Background in autonomous vehicles, robotics, or complex simulation environments.
  • Strong grasp of modern RL and post‑training techniques in LLM, dLLM, VLA and video generations.
  • Hands‑on integration of simulation platforms with ML training and evaluation workflows.
  • Python fluency and frameworks such as PyTorch.
  • Experience defining and operating metrics for complex, safety‑critical AI systems.
  • Technical leadership: influencing stakeholders, aligning teams, and raising the bar for evaluation rigor.
  • Excellent communication—simple explanations of complex trade‑offs.
Compensation and Benefits

Base Salary Range: $150,000 - $250,000 Annually

Compensation may vary outside of this range depending on many factors, including the candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Compensation and this role may be eligible for bonuses/incentives and restricted stock units.

Also, we provide the following benefits to the eligible employees:

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (Traditional and Roth 401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Free Food & Snacks
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