Safety Engineer Jobs in San Francisco, CA
Safety Engineer jobs in San Francisco are concentrated in SoMa, Mission Bay, and the Financial District, across construction, biotech, and technology sectors. Employers hiring right now include OpenAI, Lila Sciences, and Decagon. See the openings below and apply to the ones that match your experience.
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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA.
Minimum qualifications:
- PhD or equivalent practical research experience.
- 5 years of experience in a technical leadership role setting direction and guiding project workstreams.
- 5 years of experience in a people management, supervision, or team leadership role.
- 5 years of experience in machine learning, specifically working with LLMs, multimodal foundation models, or RL, along with safety and alignment specialization (e.g., model alignment, AI safety, or post-training techniques like supervised fine-tuning and reward modeling).
- One or more peer-reviewed scientific publications (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, CoRL) or public preprints (arXiv).
Preferred qualifications:
- Master's degree or PhD in Computer Science, Artificial Intelligence, Robotics, or related technical fields.
- 5 years of experience driving cross-functional initiatives across research, engineering, infrastructure, and product stakeholders.
- 5 years of technical leadership experience leading engineering workstreams, setting multi-year technical goal, and mentoring staff engineers.
- Demonstrated research in LLM reasoning, multimodal systems, RL/agents, robotics, or scientific AI.
About the job
Google DeepMind’s GenMedia Safety team defines the safety and alignment behavior of our flagship image, video, audio, and real-time interactive generative models. Working across safety post-training, runtime guardrails, evaluation, and threat intelligence, we address multi-stage systems whose visual and audio outputs carry high real-world stakes. Our mission is to protect people and society from harm while preserving creative freedom, neutrality, and user delight. We are responsible for making sure that Google DeepMind’s generative media models are deployed with the best GenAI safety in the world.As Technical Lead and Manager for GenMedia Safety Evaluations and Threat Intelligence, you will build and lead a team of researchers and engineers responsible for measuring, stress-testing, and anticipating risks across multimodal, multi-turn, and agentic generative media systems. You will own how we translate nuanced safety, alignment, and product goals into measurable quantities, and you will ultimately own the quality and trustworthiness of data across the entire GenMedia Safety team. Working collaboratively with peers across post-training, runtime safety, and production monitoring, you will set the strategy and architect the solution that lets us make data-driven decisions across the entire development and deployment life-cycle.
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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Translate safety and alignment goals into operational metrics, calibrated multimodal automated judges, and robust evaluation benchmarks.
- Build production-log evaluations and creatively probe system blind spots to continuously update multimodal threat models.
- Evaluate the quality of steered responses across media types and influence system infrastructure to ensure comprehensive logging.
- Govern dataset quality across the team and verify post-launch metrics to fold real-world data back into regression suites.
- Manage and mentor a team of 5 to 10 researchers and engineers while fostering a culture of scientific excellence.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; San Francisco, CA, USA.
Minimum qualifications:
- PhD or equivalent practical research experience.
- 5 years of experience in a technical leadership role setting direction and guiding project workstreams.
- 5 years of experience in a people management, supervision, or team leadership role.
- 5 years of experience in machine learning, specifically working with LLMs, multimodal foundation models, or RL, along with safety and alignment specialization (e.g., model alignment, AI safety, or post-training techniques like supervised fine-tuning and reward modeling).
- One or more peer-reviewed scientific publications (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, CoRL) or public preprints (arXiv).
Preferred qualifications:
- Master's degree or PhD in Computer Science, Artificial Intelligence, Robotics, or related technical fields.
- 5 years of experience driving cross-functional initiatives across research, engineering, infrastructure, and product stakeholders.
- 5 years of technical leadership experience leading engineering workstreams, setting multi-year technical goal, and mentoring staff engineers.
- Demonstrated research in LLM reasoning, multimodal systems, RL/agents, robotics, or scientific AI.
About the job
Google DeepMind’s GenMedia Safety team defines the safety and alignment behavior of our flagship image, video, audio, and real-time interactive generative models. Working across safety post-training, runtime guardrails, evaluation, and threat intelligence, we address multi-stage systems whose visual and audio outputs carry high real-world stakes. Our mission is to protect people and society from harm while preserving creative freedom, neutrality, and user delight. We are responsible for making sure that Google DeepMind’s generative media models are deployed with the best GenAI safety in the world.As Technical Lead and Manager for GenMedia Safety Evaluations and Threat Intelligence, you will build and lead a team of researchers and engineers responsible for measuring, stress-testing, and anticipating risks across multimodal, multi-turn, and agentic generative media systems. You will own how we translate nuanced safety, alignment, and product goals into measurable quantities, and you will ultimately own the quality and trustworthiness of data across the entire GenMedia Safety team. Working collaboratively with peers across post-training, runtime safety, and production monitoring, you will set the strategy and architect the solution that lets us make data-driven decisions across the entire development and deployment life-cycle.
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: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Translate safety and alignment goals into operational metrics, calibrated multimodal automated judges, and robust evaluation benchmarks.
- Build production-log evaluations and creatively probe system blind spots to continuously update multimodal threat models.
- Evaluate the quality of steered responses across media types and influence system infrastructure to ensure comprehensive logging.
- Govern dataset quality across the team and verify post-launch metrics to fold real-world data back into regression suites.
- Manage and mentor a team of 5 to 10 researchers and engineers while fostering a culture of scientific excellence.
See All 20 Safety Engineer Jobs in San Francisco
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Find Safety Engineer JobsSafety Engineer Job Market in San Francisco
Who's Hiring
Top Industries Hiring
- Manufacturing
- Science & Research
- Technology & Software
Safety Engineer Jobs in San Francisco: Frequently Asked Questions
How do I get a safety engineer job in San Francisco?
Focus your search on San Francisco's construction, biotech, and technology sectors, which generate the most consistent demand for safety engineers locally. Mission Bay's life sciences campus, SoMa's tech employers, and major infrastructure projects along the waterfront all hire regularly. Candidates who hold a CSP credential and have hands-on experience with Cal/OSHA compliance stand out, since California's regulatory environment is more detailed than federal OSHA standards.
Which companies hire safety engineers in San Francisco?
Employers hiring safety engineers in San Francisco right now include OpenAI, Lila Sciences, and Decagon, based on current listings on Migrate Mate as of November 2026. San Francisco's hiring base covers a wide mix of general contractors, biotech and medtech firms, and large technology companies managing complex facilities and lab environments.
Are there remote safety engineer jobs in San Francisco?
Yes, though remote work is limited for safety engineers because most roles require physical site inspections and hands-on hazard assessments. About 38% of safety engineer openings tied to San Francisco are remote or hybrid as of November 2026, and those positions tend to focus on safety program management, compliance documentation, and training coordination rather than field oversight.
How can I get a safety engineer job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is through a construction safety intern or environmental health and safety coordinator role with one of the city's active general contractors or infrastructure project teams. Large biotech employers in Mission Bay also hire entry-level EHS coordinators who support senior engineers. A degree in occupational safety, environmental science, or engineering and OSHA 30 certification give you a concrete edge when applying locally.
Which industries hire the most safety engineers in San Francisco?
Most safety engineer openings in San Francisco sit in Manufacturing, Science & Research, and Technology & Software, per current listings on Migrate Mate as of November 2026. San Francisco's concentration of large-scale construction projects, life sciences research facilities in Mission Bay, and technology campuses with complex physical infrastructure drives consistent demand across all three sectors.
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