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Training Engineer Jobs in California (NOW HIRING)

Harvey

Research Engineer, Post-Training

San Francisco, CA · On-site

$231K - $340K/yr

We are looking for a research engineer who can help scale that loop: defining and running model training experiments, interpreting results, and working with internal and external research partners to ...

OpenAI

Training: ML Framework Engineer

San Francisco, CA · On-site

$205K - $445K/yr

About the Role As a Training: ML Framework Engineer, you will work on improving the training throughput for our internal training framework, while enabling researchers to experiment with new ideas.

Voltai

Research Engineer - Mid-Training

Palo Alto, CA · On-site

You will collaborate with compute engineers to scale efficient training across thousands of GPUs and RL environments. You will build high-performance tools to investigate how data and simulation ...

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Mercor

MLOps Engineer - AI Trainer

San Francisco, CA · Remote

$70 - $110/hr

Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps , training infrastructure, and ML framework-level topics . * Design challenging, domain-relevant ...

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 ...

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Qualcomm

Sr. AI Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

Qualcomm Technologies, Inc. is seeking a skilled and motivated AI Model Training Engineer to join their team. In this role, you will design, train, fine-tune, and optimize machine learning models for ...

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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 Jul 5, 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 engineers make $300,000 a year?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High-paying engineering positions often require advanced degrees, certifications, and working in high-demand industries or managerial capacities.

What engineer makes $500,000 a year?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or certain senior roles in software engineering can earn $500,000 or more annually, often including bonuses and stock options. These positions typically require advanced skills, extensive experience, and often involve leadership or executive responsibilities.

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

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 a training engineer?

A training engineer is a professional responsible for developing, delivering, and managing technical training programs for employees or clients. They often work with engineering teams to create instructional materials, utilize tools like Learning Management Systems (LMS), and ensure training aligns with technical standards and safety protocols.

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 are Training Engineers?

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 engineers make $200,000 a year?

Senior engineers in fields such as software, petroleum, aerospace, and electrical engineering often earn $200,000 or more annually, especially with extensive experience, advanced skills, and relevant certifications. High-paying roles typically involve leadership responsibilities, specialized expertise, or work in high-demand industries and may require advanced degrees or professional licensure.
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 June 2026, with employment types broken down into 2% As Needed, 51% Full Time, 43% Part Time, 2% Temporary, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $67,718 per year, or $32.6 per hour.
Research Engineer, Post-Training

Research Engineer, Post-Training

Harvey

San Francisco, CA • On-site

$231K - $340K/yr

Full-time

Posted 8 days ago

Job description

Why Harvey
At Harvey, we're transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we're scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth - personal, professional, and financial - is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission - operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today - and we're just getting started.
Role Overview
Post-training is how Harvey turns expert feedback and agent traces into models that are meaningfully better at legal work. We are looking for a research engineer who can help scale that loop: defining and running model training experiments, interpreting results, and working with internal and external research partners to build better data, environments, graders, and training recipes.
This role is for someone who can self-manage model training and applied research projects. You will work closely with internal and external research collaborators on post-training efforts that matter to our product roadmap. The ideal candidate has extensive hands-on experience training open weight models, either in a research or production setting, and enough engineering depth to run and debug experiments efficiently.
What You'll Do
  • Drive post-training experiments, pushing agent performance while navigating the Pareto frontier of cost, latency, security, and governance.
  • Optimize agent harnesses, including domain-specific skills, tools, subagents, retrieval strategies, and validation loops that improve quality on long-horizon legal work.
  • Design and develop grading and reward systems that are reliable enough for evaluation, efficient enough for iteration, and strict enough for high-stakes legal work.
  • Study agent behavior, identifying patterns that correlate with successful work product, and converting those findings into training data, evals, or harness changes.
  • Work with Harvey researchers and external research partners to define experiments, evaluate methodology, review results, and keep projects moving toward concrete model improvements.

What You Have
  • Hands-on experience with post-training or model-training work, such as SFT, preference optimization, RLHF/RLAIF, reward modeling, distillation, or adapting open-weight models to specialized domains.
  • Strong judgment about model behavior: you can read traces, inspect outputs, identify failure modes, and reason about whether a metric is measuring the thing that matters.
  • Strong Python and research-engineering ability. You can write clean code, debug experiments, and build the simple but reliable systems needed to make research move faster.
  • Ability to self-manage ambiguous applied research projects and communicate clearly with researchers, engineers, product teams, domain experts, and external partners.

Nice to Have
  • Experience building data or evaluation infrastructure for ML workflows, such as dataset curation pipelines, model-output processing, experiment tracking, evaluation dashboards, or regression analysis tooling.
  • Experience with distributed training, inference systems, GPU workloads, or large-scale ML experimentation.
  • Research publications, open-source contributions, or shipped industry work in LLMs, agents, evaluation, or ML systems.

Compensation
$231,000 - $340,000
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].
#LI-AK1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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