{"id":3002076,"url":"https://alion.io/job/google-deepmind-research-engineer-machine-learning-geminiapp-personalization","title":"Research Engineer, Machine Learning, GeminiApp Personalization","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":["Mountain View, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":177000,"max_usd":340000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1268},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Gemini","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-10-21T08:07:15Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-25T07:31:12Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About the job\nAt Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team.\nWe are the Gemini App team at Google DeepMind, building Google's next-generation AI assistant. Stay at the forefront of innovation with Gemini, which features native multimodality, an expansive context window of up to 2 million tokens, and excellent performance. Our mission is to empower billions of people by providing deeply personalized and helpful products. In this role, you will help build a personal AI assistant tailored to the unique interests, passions, and curiosities of every individual.\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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nDesign, prototype, and build robust, scalable, user-facing personalization features on the full Gemini App stack.\nPerform relevant data analysis of user feedback, logs, and evaluation tasks to identify personalization-related quality issues and opportunities.\nPropose and implement targeted quality improvements via fine-tuning or prompting.\nDevelop robust evaluation techniques (both automated and with a human in the loop) to assess and hill-climb on personalization quality.\nPartner closely with research scientists, engineers, and cross-functional partners (product and program managers) to advance the business goals of the organization.\nQualifications\nMinimum qualifications:\nBachelor’s degree or equivalent practical experience.\n5 years of experience with software development in one or more programming languages.\n3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.\n3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), recommender systems, deep learning, or personalization.\n3 years of experience with software development in either of these programming languages: Python or C++. \nPreferred qualifications:\nMaster's degree or PhD in Computer Science or related technical field.\n1 year of experience in a technical leadership role.\nExperience developing accessible technologies.\nExperience in Natural Language Processing (NLP), Large Language Models (LLMs) and Generative 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