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Learning Solutions Jobs in California (NOW HIRING)

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

... solutions to medical imaging applications, including disease detection/quantification in medical ... Develop deep learning models for prototyping and production purposes according to product feature ...

Voxelcloud

Machine Learning Engineer

Los Angeles, CA · On-site

... solutions to medical imaging applications, including disease detection/quantification in medical ... Develop deep learning models for prototyping and production purposes according to product feature ...

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All JobsLearning Solutions JobsLearning Solutions Jobs in California

Learning Solutions information

See California salary details

$5

$37

$47

How much do learning solutions jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for learning solutions in California is $37.76, according to ZipRecruiter salary data. Most workers in this role earn between $26.59 and $47.45 per hour, depending on experience, location, and employer.

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

To thrive as a Learning Solutions Specialist, you need expertise in instructional design, adult learning theory, and program development, often supported by a degree in education, instructional technology, or a related field. Familiarity with Learning Management Systems (LMS), e-learning authoring tools (such as Articulate or Captivate), and relevant certifications like CPLP or APTD is typically required. Exceptional communication, creativity, and project management skills help you collaborate effectively and design engaging learning experiences. These abilities are crucial for delivering impactful training solutions that enhance organizational performance and learner engagement.

What is the difference between Learning Solutions vs Learning and Development Specialist?

AspectLearning SolutionsLearning and Development Specialist
Required CredentialsTypically requires certifications in instructional design, e-learning tools, or training technologyOften requires a degree in education, HR, or related fields; certifications like CPLP are common
Work EnvironmentDesigning and implementing digital and blended learning programs, often in corporate or educational settingsFacilitating training sessions, conducting needs assessments, and developing learning strategies
Employer & Industry UsageUsed in corporate, educational, and e-learning companies focusing on technology-driven training solutionsCommon in HR departments, corporate training teams, and educational institutions

Learning Solutions professionals focus on designing and delivering digital and blended learning programs, often leveraging technology. Learning and Development Specialists typically handle training needs assessment, facilitation, and program development within organizations. While both roles aim to enhance employee or student learning, Learning Solutions emphasizes technical design, whereas Learning and Development Specialists focus on overall training strategy and delivery.

What is a learning solution?

Learning Solutions refer to a range of strategies, tools, technologies, and services designed to support education, training, and professional development. These solutions can include e-learning courses, instructor-led training, blended learning, digital platforms, and performance support tools. Organizations use Learning Solutions to improve employee skills, onboard new hires, and ensure compliance with industry standards. The goal is to create effective and engaging learning experiences that drive personal and organizational growth.

How does a learning solutions professional typically collaborate with subject matter experts (SMEs) when developing training programs?

Learning Solutions professionals work closely with subject matter experts to design and develop effective training content. This collaboration often involves conducting needs assessments, gathering detailed information on complex topics, and translating technical or specialized knowledge into accessible, engaging learning materials. Regular meetings, feedback sessions, and iterative reviews ensure that the final learning solutions are accurate, relevant, and aligned with organizational goals. Building strong relationships and clear communication with SMEs is key to creating impactful training programs that meet learner needs.
What cities in California are hiring for Learning Solutions jobs? Cities in California with the most Learning Solutions job openings:
Learning Solutions jobs near you
Infographic showing various Learning Solutions job openings in California as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution, with an average salary of $78,541 per year, or $37.8 per hour.

Machine Learning Engineer - Reinforcement Learning

Pony.ai Inc.

Fremont, CA • On-site

$150 - $250/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 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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