{"id":3736722,"url":"https://alion.io/job/genentech-senior-machine-learning-scientist-lab-automation","title":"Senior Machine Learning Scientist - Lab Automation","company":{"id":1757810,"name":"Genentech","domain":"gene.com","url":"https://alion.io/company/gene-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":38,"ghost_share":0,"stale_share":0.921,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-11-09T06:03:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["South San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":168100,"max":312300,"currency":"USD","period":"year","gross":null,"usd_annual":312300},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Chromatography","optional":false},{"name":"Computer Vision","optional":false},{"name":"Design of Experiments","optional":false},{"name":"DINOv2","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"HPLC","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenCV","optional":false},{"name":"PyTorch","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Self-Healing","optional":false},{"name":"Time Series","optional":false},{"name":"Torchvision","optional":false}],"status":"live","first_seen_at":"2026-11-04T10:03:41Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-09T11:05:03Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.\nAdvances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.\nThe Opportunity\nAt Genentech (gRED) and Roche (pRED), we’re applying software, robotics, and advanced AI to solve one of humanity’s hardest challenges: building fully autonomous, self-healing laboratories for lights-out drug discovery. Advances in AI, data, and computational sciences are transforming drug discovery and development. The Computational Sciences Center of Excellence (CoE) and the Data and Digital Catalyst (DDC) team are building the foundational platform for autonomous labs-turning frontier AI models, rich physical telemetry, and multi-vendor robotics into resilient, intelligent systems that run complex science unattended around the clock to deliver life-saving medicines to patients faster than ever before.\nAs a Senior Multimodal Machine Learning Scientist, you will be the hands-on technical lead and architect developing intelligent systems for autonomous laboratories. Your work will span computer vision and multimodal perception, predictive modeling, agentic systems, and closed-loop experimentation, for example, unifying camera feeds with rich physical telemetry to give lab systems situational awareness and autonomous recovery capabilities. You will build and deploy models and end-to-end ML pipelines, from data collection and model development to evaluation and deployment, helping pioneer the next generation of intelligent laboratory infrastructure at global scale.\nIn this role, you will:\nDevelop and fine-tune state-of-the-art vision models (VLMs, DinoV2, SAM, custom detection/segmentation) to perform real-time visual quality control across lab workcells (e.g., liquid level sensing, tip verification, labware orientation, spill/foam detection).\nDevelop multimodal models that integrate camera feeds and video streams with time-series sensor telemetry, system logs, assay metadata, and other laboratory data to catch and understand physical failure modes.\nBuild predictive AI models on rich analytical data (spectroscopy, plate-readers, chromatography) to quantify assay quality and support closed-loop experimental decision-making.\nBuild the data and ML pipelines needed to support these systems end-to-end, including image/video and sensor data collection, curation, processing, labeling, model training, deployment, monitoring, and iterative improvement.\nBuild agentic pipelines that interpret lab data, reason through multi-step experimental workflows, and execute autonomous recovery decisions.\nBuild rigorous evaluation suites (evals) to systematically benchmark model and agent accuracy, robustness, and decision safety in drug discovery labs.\nDeploy and optimize scalable ML inference and monitoring infrastructure that is low-latency and can support diverse models, instruments, and scientific use cases.\nWho you are:\nMS/PhD in Computer Science, Data Science, AI, or a related quantitative field with 3+ years of hands-on experience deploying production ML systems or translational research models.\nPassion for translating frontier AI into biological workflows and real-world therapeutic breakthroughs.\nStrong background in Computer Vision and Vision-Language Models (VLMs), with hands-on experience training, fine-tuning, or evaluating visual perception architectures (e.g., PyTorch, OpenCV, torchvision, object detection/segmentation, vision-text transformers).\nStrong foundations in machine learning, statistics, and data analysis, with hands-on experience developing and deploying predictive and data-driven models.\nProven track record building and deploying multimodal models that combine camera feeds/image streams with unstructured physical data (sensor logs, time-series, tabular scientific data).\nHands-on experience building, orchestrating, or tuning agent harnesses.\nDemonstrated mastery in building comprehensive evaluation pipelines (evals) to benchmark model and agent accuracy, robustness, and safety in production environments.\nDemonstrated ability to work across disciplines and translate scientific requirements into practical ML systems, collaborating with scientists, automation/robotics engineers, and software engineers.\nPreferred, but not required\nExperience with synthetic vision data generation, video-based anomaly detection, or edge-vision deployment.\nFamiliarity with lab automation hardware, analytical instruments (liquid handlers, plate readers, HPLC), or industrial IoT telemetry.\nExposure to Bayesian optimization, active learning, reinforcement learning, or Design of Experiments (DoE) for closed-loop experimentation.\nPublic GitHub/GitLab portfolio showcasing production ML pipelines, computer vision projects, agentic frameworks/evals, or multimodal models.\nRelocation benefits are not available for this opportunity\nThe expected salary range for this position, based on the primary location of San Francisco, is $168,100 - 312,300. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.\nBenefits\n#tech4lifeComputationalScience\nGenentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.\nIf you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.","description_format":"text","description_chars":6786,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Laboratory & Pharmaceutical Robotics","Drug Discovery","Oncology Therapeutics","Neurology & CNS Therapeutics"],"lifecycle":[{"event":"open","at":"2026-11-04T10:03:41Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 188 · green card filings: 34","filings_12m":188,"filings_prev_12m":151,"green_card_filings_12m":34,"median_offered_wage_usd":150788,"route":null,"cap_exempt":false,"checked_at":"2026-11-09T07:32:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":40}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":17,"reasons":["conf:0","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-09T06:03:00Z"},"pay":{"stated_usd_annual":312300,"is_top_pay":true},"html_url":"https://alion.io/job/genentech-senior-machine-learning-scientist-lab-automation","json_url":"https://alion.io/job/genentech-senior-machine-learning-scientist-lab-automation.json","meta":{"generated_at":"2026-11-09T15:12:53Z","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":21323,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":1757810},"rest":"https://alion.io/mcp/rest/get_company?id=1757810"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgenentech-senior-machine-learning-scientist-lab-automation"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fgenentech-senior-machine-learning-scientist-lab-automation"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fgenentech-senior-machine-learning-scientist-lab-automation"},{"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/genentech-senior-machine-learning-scientist-lab-automation\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgenentech-senior-machine-learning-scientist-lab-automation"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3736722}},{"tool":"search_jobs","arguments":{"company":"gene.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3736722},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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