{"id":1229401,"url":"https://alion.io/job/google-deepmind-research-scientist-agents","title":"Research Scientist, Agents","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":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":54000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":29},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Gemini","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TensorFlow","optional":false},{"name":"Few-Shot Learning","optional":true},{"name":"Multimodal AI","optional":true},{"name":"Post-training","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-15T10:09:05Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-01T12:38:39Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"About the job\nThe Agents team at Deepmind India is driven by the mission of developing foundational capabilities in Large Models towards realizing Artificial General Intelligence (AGI). We focus on uncovering emergent agentic behaviors through novel reinforcement learning algorithms run at scale.\nWe also apply our research advances to Gemini and critical product launches in Google, touching the lives of hundreds of millions of users, and we are looking forward to doing more!\nWe are seeking a highly motivated and Research Scientist to join our team in Bengaluru, focused on advancing in autonomous agents through reinforcement learning and ML optimization methods.\nIn this role, you will conduct research on large language models (LLMs), focusing on the development of more capable autonomous agents. You will lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence. You will work collaboratively within and across Research fields, and will develop solutions to fundamental questions in machine learning and AI.\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.\nResponsibilities\nDesign, implement, and evaluate models, agents, and software prototypes of large foundational models.\nPush the boundary of reinforcement learning and ML optimization methods to build autonomous agents.\nReport and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.\nSuggest and engage in team and external collaborations, maintaining relationships with relevant research labs.\nWork in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.\nQualifications\nMinimum qualifications:\nPhD degree in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience.\n8 years of experience with machine learning frameworks (e.g., JAX, TensorFlow, or PyTorch).\nExperience with advanced deep learning and reinforcement learning.\nPublication record in machine learning conferences or journals (e.g., NeurIPS, ICML, ICLR, KDD, AAAI).\nPreferred qualifications:\nExperience with multimodal learning, large language models, or assistive AI agents.\nExperience with prompt engineering, few-shot learning, post-training techniques, and evaluations.\nFamiliarity with model training and deployment.\nStrong programming skills in Python or similar languages.\nExcellent communication and collaboration skills.","description_format":"text","description_chars":3188,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"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":89,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.888,"p_room":1,"age_days":15,"expected_fill_days":53,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/google-deepmind-research-scientist-agents","json_url":"https://alion.io/job/google-deepmind-research-scientist-agents.json","meta":{"generated_at":"2026-10-01T13:05:51Z","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":4675,"day_limit":5000,"remaining_today":325,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}