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Training Developer Jobs in California (NOW HIRING)

Voltai

Research Engineer - Post-Training

Palo Alto, CA · On-site

Post-Training In this role, you will post-train frontier models to autonomously perform complex tasks across the semiconductor design and verification pipeline. Models you train will propose and ...

Prosum Inc.

AI / Java Developer

El Segundo, CA · On-site

$130K - $160K/yr

Experience mentoring, enabling, or training engineers and technical teams * Ability to explain technical concepts clearly across engineering teams * Comfortable helping organizations adopt new ...

Wood Rodgers

Engineer

Roseville, CA · On-site

$37.50 - $49.50/hr

Engineer Department: Transportation Employment Type: Full Time Location: Roseville, CA Compensation ... training, and location. Base pay is just one part of the comprehensive compensation package offered ...

Amat

GPS Engineer PVD/ETCH

Santa Clara, CA

$124K - $171K/yr

... initial training package for new products and work with Global Technical Training (GTT) to develop training class. Train Customer Engineers (CEs), Process Engineers (PSEs) and Technical Product ...

Applied Materials

GPS Engineer PVD/ETCH

Santa Clara, CA · On-site

$124K - $171K/yr

... initial training package for new products and work with Global Technical Training (GTT) to develop training class. Train Customer Engineers (CEs), Process Engineers (PSEs) and Technical Product ...

Sesame

ML Model Serving Engineer

San Francisco, CA · On-site

They are seeking an ML Model Serving Engineer to enhance their serving layer with various LLM, speech, and vision models, while collaborating with infrastructure and training engineers to optimize ...

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All JobsTraining Developer JobsTraining Developer Jobs in California

Training Developer information

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How much do training developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for training developer in California is $39.97, according to ZipRecruiter salary data. Most workers in this role earn between $28.22 and $47.21 per hour, depending on experience, location, and employer.

What are some typical challenges a Training Developer faces when creating learning materials for diverse audiences?

Training Developers often encounter the challenge of designing content that is engaging and accessible for learners with varying backgrounds, skill levels, and learning preferences. Balancing technical accuracy with clarity, ensuring content aligns with organizational goals, and incorporating feedback from subject matter experts can also add complexity. Collaborating closely with instructional designers, trainers, and stakeholders is crucial to produce effective training programs that meet all learners' needs.

What is the difference between Training Developer vs Instructional Designer?

AspectTraining DeveloperInstructional Designer
CredentialsTypically requires a degree in education, instructional design, or related field; certifications like ATD CPTD are commonSimilar credentials; often holds degrees in education, instructional design, or related fields; certifications like ATD CPTD are also valued
Work EnvironmentWorks in corporate, educational, or government settings developing training programs and materialsDesigns learning experiences, often collaborating with subject matter experts in various industries
Employer & Industry UsageUsed by organizations to create employee training programs, e-learning modules, and workshopsUsed by educational institutions, corporations, and e-learning companies to develop instructional content

Training Developers and Instructional Designers share similar credentials and work environments, often collaborating to create effective learning materials. While Training Developers focus on creating and implementing training programs, Instructional Designers emphasize designing engaging learning experiences. Both roles are essential in education and corporate training, with overlapping skills and industry usage.

What are the key skills and qualifications needed to thrive as a Training Developer, and why are they important?

To thrive as a Training Developer, you need expertise in instructional design, curriculum development, and adult learning theory, usually supported by a degree in education, instructional design, or a related field. Proficiency with e-learning authoring tools (such as Articulate Storyline or Adobe Captivate), learning management systems (LMS), and multimedia software is often required. Strong communication, creativity, and project management skills help you create engaging learning experiences and collaborate with stakeholders. These abilities ensure that training programs are effective, engaging, and aligned with organizational goals.

What are Training Developers?

Training Developers are professionals who design, create, and implement training programs and materials for organizations. They assess learning needs, develop instructional content such as presentations, manuals, e-learning courses, and facilitate training sessions to help employees gain new skills or knowledge. Their goal is to ensure that training is effective, engaging, and aligned with organizational objectives. Training Developers may work with subject matter experts and use a variety of instructional technologies and methods to enhance the learning experience.
What are popular job titles related to Training Developer jobs in California? For Training Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Training Developer jobs in California look for? The top searched job categories for Training Developer jobs in California are:
What are popular job titles related to Training Developer jobs in CA? For Training Developer jobs in CA, the most frequently searched job titles are:
Training Developer jobs near you
Infographic showing various Training Developer job openings in California as of July 2026, with employment types broken down into 84% Full Time, 5% Part Time, 2% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $83,137 per year, or $40 per hour.
Machine Learning Engineer, LLM Post-Training

Machine Learning Engineer, LLM Post-Training

NewsBreak

Mountain View, CA • On-site

$150K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

About NewsBreak
Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.
Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.
If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit www.newsbreak.com/about
About the Role
We are looking for a hands-on Machine Learning Engineer to drive the post-training of our large language models, with a strong emphasis on reinforcement learning (RL). You will own the full post-training stack - continuous pre-training (CPT), supervised fine-tuning (SFT), and RL - along with the data preparation that powers it. Just as important, you will work directly with product and business teams to translate real-world use cases into concrete training objectives and ship model improvements quickly. This is a high-ownership role for someone who has actually trained models, not just read about it.
Responsibilities
  • Lead post-training of our LLMs across the full pipeline: continuous pre-training, SFT, and reinforcement learning, with RL as the primary focus (e.g., RLHF, PPO, GRPO, DPO, and related methods).
  • Design, build, and curate the data that drives each training stage - instruction/SFT datasets, preference pairs, reward signals, on-policy rollouts, and rejection-sampled completions - and define data-preparation strategies tailored to specific business needs.
  • Partner closely with business and product stakeholders to understand their scenarios, rapidly convert requirements into training plans, and deliver targeted model capabilities on tight timelines.
  • Run large-scale training on mid-to-large GPU clusters, applying distributed-training techniques (data parallelism, FSDP, and where relevant tensor/pipeline parallelism) and tuning for throughput and stability.
  • Build and maintain evaluation and reward/verifier pipelines to measure model quality, prevent regressions, and ensure training-serving consistency.
  • Stay current with post-training research and turn promising techniques into working, production-ready code.
Requirements
  • Hands-on LLM post-training experience. You have personally run CPT, SFT, and RL training - with demonstrated, practical RL experience (RLHF / PPO / GRPO / DPO or similar), beyond just launching training scripts.
  • Strong data engineering for ML. You can independently design data-preparation plans for a given business scenario - sourcing, cleaning, filtering, labeling strategy, and synthetic/preference data generation - to meet specific product requirements.
  • Proven large-scale GPU training ability. You have trained LLMs on mid-to-large GPU hardware and are comfortable with distributed training and debugging at scale.
  • Strong PyTorch fundamentals; working familiarity with frameworks such as Hugging Face TRL/Accelerate, DeepSpeed or FSDP, and inference engines like vLLM.
  • Solid understanding of tokenization, attention, chat templates, and common failure modes in alignment/agent training.
  • A bias toward fast iteration and business impact, with strong communication skills to work across research and product teams.
Preferred Qualifications
  • Experience designing reward models or rule-based verifiers for RL.
  • Experience with tool-use / agentic model training (function calling, multi-step planning).
  • Publications or open-source contributions in LLM post-training or RL.
Benefits
We offer a competitive benefits package:
  • Health, dental, and vision care for you and your family (100% coverage for employee)
  • Top-tier 401(K) plan with company matching
  • Paid time off and paid holidays
  • FSA, HSA and commuter benefits programs
  • Team activity budget

The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.
Annual Base Pay Range
$150,000-$230,000 USD
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