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Training Engineer 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 ...

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 ...

Marriott

Apprentice Engineer

San Francisco, CA · On-site

Extensive experience and training in general maintenance (advanced repairs), electrical or refrigeration, exterior and interior surface preparation and painting. At least 2 years of hotel engineering ...

Marriott

Apprentice Engineer

San Francisco, CA · On-site

Extensive experience and training in general maintenance (advanced repairs), electrical or refrigeration, exterior and interior surface preparation and painting. At least 2 years of hotel engineering ...

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Showing results 21-40

All JobsTraining Engineer JobsTraining Engineer Jobs in California

Training Engineer information

See California salary details

$30.1K

$67.7K

$114K

How much do training engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for training engineer in California is $67,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $73,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a training engineer?

To thrive as a Training Engineer, you need a strong background in engineering principles, adult learning methodologies, and often a relevant engineering degree. Familiarity with technical training tools, e-learning platforms, and certifications like Certified Technical Trainer (CTT+) are commonly required. Excellent communication, adaptability, and interpersonal skills help Training Engineers effectively convey complex concepts and engage diverse learners. These skills ensure that technical knowledge is transferred effectively, supporting both employee development and organizational goals.

What are some typical challenges faced by training engineers when developing technical training materials for diverse audiences?

Training Engineers often encounter the challenge of creating instructional materials that are accessible and engaging for participants with varying levels of technical expertise. They must balance depth and clarity, ensuring content is neither too simplistic for advanced learners nor too complex for beginners. Additionally, staying current with rapidly evolving technologies and adapting materials for different learning formats—such as in-person workshops, online modules, and hands-on labs—requires strong organizational and communication skills. Collaborating closely with subject matter experts and receiving feedback from trainees are key to overcoming these challenges and ensuring training effectiveness.

What is the difference between Training Engineer vs Training Coordinator?

AspectTraining EngineerTraining Coordinator
Required CredentialsBachelor's degree in engineering, technical field; certifications in training or technical areasBachelor's degree in education, HR, or related field; certifications in training or facilitation
Work EnvironmentTechnical settings, manufacturing plants, engineering firmsCorporate offices, educational institutions, HR departments
Employer & Industry UsageManufacturing, aerospace, engineering companiesCorporate training departments, educational organizations
Common Search & Comparison IntentUnderstanding technical training roles, engineering-focused training jobsLearning and development roles, training program management

Training Engineers focus on developing and delivering technical training in engineering and manufacturing environments, often requiring technical degrees and certifications. Training Coordinators handle organizing and managing training programs across various industries, emphasizing facilitation and administrative skills. While both roles involve training, Training Engineers are more technical and specialized, whereas Training Coordinators focus on logistics and program management.

What is a training engineer?

Training Engineers are professionals who design, develop, and deliver technical training programs, typically for employees or customers using specialized equipment, software, or systems. They combine subject matter expertise with teaching skills to ensure participants understand and can effectively use complex products or technologies. Training Engineers often assess learning needs, create instructional materials, and evaluate training effectiveness to continuously improve learning outcomes.
What are popular job titles related to Training Engineer jobs in California? For Training Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Training Engineer jobs in California look for? The top searched job categories for Training Engineer jobs in California are:
What cities in California are hiring for Training Engineer jobs? Cities in California with the most Training Engineer job openings:
What are popular job titles related to Training Engineer jobs in CA? For Training Engineer jobs in CA, the most frequently searched job titles are:
Training Engineer jobs near you
Infographic showing various Training Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $67,718 per year, or $32.6 per hour.

Machine Learning Engineer, LLM Post-Training

GoTo Meeting

Mountain View, CA • On-site

$150 - $230/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

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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