{"id":1229407,"url":"https://alion.io/job/google-deepmind-staff-research-scientistengineer-agentic-post-training","title":"Staff Research Scientist/Engineer, Agentic Post Training","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":"Data Science","role_family":"Data Science","seniority":"staff","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":178000,"max_usd":360000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":218},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Gemini","optional":false},{"name":"Post-training","optional":false},{"name":"Reinforcement Learning","optional":false}],"status":"live","first_seen_at":"2026-09-23T13:41:03Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-26T05:12:51Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About the job\nThis role is dedicated to core modeling and post-training experience (e.g., deep learning, LLMs, and reinforcement learning). Because of this focus, candidates with primarily ML infrastructure (ML infra) backgrounds will likely find this is not the right profile for their skill set.\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.\nWe 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.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nSpecialize in core modeling and post-training experience. Drive the research process for large-scale agent post-training from hypothesis formulation to delivery in the Gemini model recipe.\nDesign and execute ablation studies to validate research hypotheses and accelerate experimental feedback loops.\nCommunicate research findings, progress, and outcomes to the broader team through visualizations and reports.\nDevelop research infrastructure and utilities for data analysis and model evaluations using standard engineering practices.\nCollaborate with other research scientists and engineers to maintain a regular feedback and communication loop.\nQualifications\nMinimum qualifications:\nBachelor’s degree or equivalent practical experience.\n8 years of experience in software development.\n5 years of experience testing, and launching software products.\n3 years of experience with software design and architecture.\nExperience with large language model, reinforcement learning, and deep learning.\nPreferred qualifications:\nMaster’s degree or PhD in Engineering, Computer Science, or a related technical field.\n8 years of experience with data structures and algorithms.\n3 years of experience in a technical leadership role leading project teams and setting technical direction.\n3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.","description_format":"text","description_chars":2592,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":3,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","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"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":184,"reasons":["conf:0","win:early"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/google-deepmind-staff-research-scientistengineer-agentic-post-training","json_url":"https://alion.io/job/google-deepmind-staff-research-scientistengineer-agentic-post-training.json","meta":{"generated_at":"2026-09-27T00:45:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":676,"day_limit":5000,"remaining_today":4324,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}