{"id":1229373,"url":"https://alion.io/job/google-deepmind-gemini-post-training-software-engineer","title":"Gemini Post-training Software Engineer","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":"Backend","role_family":"Backend","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":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":170000,"max_usd":313000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1999},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Gemini","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"TensorFlow","optional":false},{"name":"Fine-tuning","optional":true}],"status":"live","first_seen_at":"2026-09-04T16:07:26Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-26T05:12:51Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"About the job\nGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.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.\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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nMake core contributions to Gemini that advance what digital agents can do and are deployable into production.\nIdentify model areas of improvement.\nTrain and evaluate agents across various digital environments.\nFocus on multi-step reinforcement learning in multimodal, digital environments.\nQualifications\nMinimum qualifications:\nBachelor’s degree in Computer Science, a similar field, or equivalent practical experience.\n5 years of experience designing, training, and evaluating machine learning models.\nExperience in Python programming.\n Experience in test writing for ML purposes either in Tensor flow or similar for post-silicon data collection, and pre-silicon modeling and correlation.\nExperience with Large Language Models, NLP, or Generative AI.\nPreferred qualifications:\nExperience in building, scaling, and training/fine-tuning AI models and systems.\nDeep expertise in Reinforcement Learning.","description_format":"text","description_chars":2746,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"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":21,"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-gemini-post-training-software-engineer","json_url":"https://alion.io/job/google-deepmind-gemini-post-training-software-engineer.json","meta":{"generated_at":"2026-09-27T01:44:09Z","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":1561,"day_limit":5000,"remaining_today":3439,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}