Senior Technical Training Developer Jobs in Mountain View, CA
Senior Technical Training Developer jobs in Mountain View are concentrated in the North Bayshore and Middlefield Road corridors, where technology, aerospace, and enterprise software companies keep consistent teams of learning professionals. Employers currently hiring include DeepMind, Waymo, and Rhoda AI. See the openings below and apply to the ones that match your experience.
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Showing 5 of 10+ Senior Technical Training Developer jobs
Minimum qualifications:
- PhD in Computer Science, Machine Learning, or a related quantitative field, or equivalent practical experience.
- 2 years of experience with machine learning frameworks such as JAX, Flax, or PyTorch
- Experience conducting research in reinforcement learning, tool use, or agentic systems.
Preferred qualifications:
- Experience publishing research in reinforcement learning, reinforcement learning from human feedback, or tool-use algorithms at machine learning venues.
- Experience working with large-scale distributed training infrastructure and scaling experiments.
- Research experience in systems design, code complexity, or working with large-codebase environments.
- Experience developing simple, scalable solutions for complex, open-ended research problems.
About the job
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive the research process for large-scale agent post-training from hypothesis formulation to delivery in the Gemini model recipe.
- Design and execute ablation studies to validate research hypotheses and accelerate experimental feedback loops.
- Communicate research findings, progress, and outcomes to the broader team through visualizations and reports.
- Develop research infrastructure and utilities for data analysis and model evaluations using standard engineering practices.
- Collaborate with other research scientists and engineers to maintain a regular feedback and communication loop.
Minimum qualifications:
- PhD in Computer Science, Machine Learning, or a related quantitative field, or equivalent practical experience.
- 2 years of experience with machine learning frameworks such as JAX, Flax, or PyTorch
- Experience conducting research in reinforcement learning, tool use, or agentic systems.
Preferred qualifications:
- Experience publishing research in reinforcement learning, reinforcement learning from human feedback, or tool-use algorithms at machine learning venues.
- Experience working with large-scale distributed training infrastructure and scaling experiments.
- Research experience in systems design, code complexity, or working with large-codebase environments.
- Experience developing simple, scalable solutions for complex, open-ended research problems.
About the job
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive the research process for large-scale agent post-training from hypothesis formulation to delivery in the Gemini model recipe.
- Design and execute ablation studies to validate research hypotheses and accelerate experimental feedback loops.
- Communicate research findings, progress, and outcomes to the broader team through visualizations and reports.
- Develop research infrastructure and utilities for data analysis and model evaluations using standard engineering practices.
- Collaborate with other research scientists and engineers to maintain a regular feedback and communication loop.
See All 10 Senior Technical Training Developer Jobs in Mountain View
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Find JobsSenior Technical Training Developer Job Market in Mountain View
Who's Hiring
Top Industries Hiring
- Technology & Software
Senior Technical Training Developer Jobs in Mountain View: Frequently Asked Questions
How do I get a senior technical training developer job in Mountain View?
Focus your search on Mountain View's technology and enterprise software companies clustered along the North Bayshore corridor and Middlefield Road, where instructional design and technical enablement roles are most active. Candidates who combine hands-on LMS administration experience with strong technical writing portfolios stand out most here. Familiarity with developer-facing or hardware product documentation gives applicants a clear edge over generalist training backgrounds in this market.
Which companies hire senior technical training developers in Mountain View?
Companies currently hiring senior technical training developers in Mountain View include DeepMind, Waymo, and Rhoda AI, per current listings on Migrate Mate as of July 2026. Mountain View's employer mix skews heavily toward established technology firms and growth-stage software companies that maintain dedicated learning and development teams.
Are there remote senior technical training developer jobs in Mountain View?
Yes, though it depends on the role: curriculum design and content development work is commonly done remotely, while positions involving lab facilitation, hardware demos, or in-person cohort delivery typically require on-site presence. About 33% of senior technical training developer openings tied to Mountain View are remote or hybrid as of July 2026. Developer enablement and e-learning authoring roles tend to have the most remote flexibility among Mountain View postings.
How can I get a senior technical training developer job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is through a junior instructional designer or technical writer role at one of the city's mid-size software or hardware companies, which often promote internally into senior training positions. Building a portfolio of e-learning modules using tools like Articulate or Adobe Captivate, then targeting smaller Mountain View technology firms with lean L&D teams, gives candidates the fastest path to senior-level consideration without a long experience history.
Which industries hire the most senior technical training developers in Mountain View?
The sectors hiring the most senior technical training developers in Mountain View are Technology & Software, based on current listings on Migrate Mate as of July 2026. Mountain View's dense concentration of software platforms and hardware engineering companies generates consistent demand for training professionals who can translate complex technical products into structured learning programs.
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