{"id":1229304,"url":"https://alion.io/job/google-deepmind-research-scientist-gemini-agent-safety","title":"Research Scientist, Gemini Agent Safety","company":{"id":4,"name":"Google DeepMind","domain":"deepmind.google","url":"https://alion.io/company/deepmind","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":135000,"max_usd":307000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":290},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Gemini","optional":false},{"name":"LLM","optional":false},{"name":"Post-training","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SFT","optional":false},{"name":"AI Agents","optional":true},{"name":"Machine Learning","optional":true},{"name":"Reward Modeling","optional":true}],"status":"closed","first_seen_at":"2026-09-24T15:40:53Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-08T07:24:20Z","board_verified":false,"closed_at":"2026-10-08T07:24:20Z","days_open":13,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":13},"description":"About the job\nThe Gemini Safety team is accountable for the standards of GDM’s flagship releases. In this role, you will develop algorithmic solutions to advance user-facing architectures. The workstyle is changing, supported by a strong internal culture of mutual dedication and cooperation.\nYou will bring LLM post-training expertise to ensure outputs are aligned and production-ready. This scope encompasses deep thinking and deep research capabilities, coordinating directly with the Gemini post-training organization and core Product Area counterparts.\nYou will be a builder and shipper who takes end-to-end ownership. You will formulate mitigation frameworks and evaluations while guiding the cross-functional alignment required to deploy across launch surfaces.\nArtificial 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.We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.\nUS: $174000 - $252000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nDesign, implement, and maintain high-quality protocols to identify safety gaps in model behavior across all Gemini and GenAI models, and feed these insights back into the post-training process to continuously improve both in-model and out-of-model protection.\nExplore, adapt, and apply innovative modeling and alignment techniques to solve real-world safety and alignment challenges under tight launch timelines.\nDrive innovation in model optimization, advancing the application of Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) techniques at massive scale.\nPartner closely with post-training, evaluation, and product teams to align incentives, close safety gaps, and influence safety decisions without direct authority.\nQualifications\nMinimum qualifications:\nPhD in Computer Science, a related field, or equivalent practical experience.\n1 year experience with Generative AI, Large Language Models, natural language processing, or Agent-based systems.\nPreferred qualifications:\nExperience in AI safety and model alignment.\nExperience developing AI agents, safety-critical systems, or Machine Learning Infrastructure.\nExpertise in reward modeling, Reinforcement Learning (RL) for LLMs, instruction tuning, and long-range RL.\nAbility to drive research concepts to product realization with a strong track record of engineering abilities and experimental work.\nTrack record of publications at AI/ML venues (e.g., NeurIPS, ICLR, ICML, EMNLP, AAAI, UAI).","description_format":"text","description_chars":3130,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":true},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","Foundation Models","AI Research Labs","AI for Science"],"lifecycle":[{"event":"open","at":"2026-09-25T14:29:09Z"},{"event":"close","at":"2026-10-08T07:24:20Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/google-deepmind-research-scientist-gemini-agent-safety","json_url":"https://alion.io/job/google-deepmind-research-scientist-gemini-agent-safety.json","meta":{"generated_at":"2026-10-21T22:55:30Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":32641,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4},"rest":"https://alion.io/mcp/rest/get_company?id=4"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgoogle-deepmind-research-scientist-gemini-agent-safety"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgoogle-deepmind-research-scientist-gemini-agent-safety"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgoogle-deepmind-research-scientist-gemini-agent-safety"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/google-deepmind-research-scientist-gemini-agent-safety\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgoogle-deepmind-research-scientist-gemini-agent-safety"}]}