{"id":2985159,"url":"https://alion.io/job/genentech-senior-ai-engineer-imaging","title":"Senior AI Engineer- Imaging","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":null},"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":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenCV","optional":false},{"name":"PyTorch","optional":false},{"name":"scikit-image","optional":false},{"name":"Segment Anything","optional":false},{"name":"TensorFlow","optional":false},{"name":"Torchvision","optional":false},{"name":"Transformers","optional":false},{"name":"AI Agents","optional":true}],"status":"live","first_seen_at":"2026-10-19T00:00:00Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-22T04:08:15Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"We advance science so that we all have more time with the people we love.\nAs an imaging-focused machine learning engineer within the AI Enablement team, you will be working closely with folks that span the gamut across computational scientists, biologists, bench scientists, AI/ML experts, product leaders, software engineers, and everyone in between. Your work will help bridge scientific intuition with quantitative analysis, enable richer phenotypic analysis, and provide new multimodal capabilities across large-scale, state-of-the-art datasets. You'll build, own, and constantly improve scalable AI/ML and computer vision systems that unlock the potential of our diverse scientific imaging data (e.g., microscopy, digital pathology, biomedical imaging, etc), accelerating the discovery and development of life-changing treatments for patients.\nThe Opportunity:\n· Design, develop, and test robust, scalable, and maintainable AI/ML scientific web applications and backend pipelines tailored for high-throughput scientific imaging data processing and visualization.\n· Build, evaluate, and fine-tune state-of-the-art computer vision and deep learning models (e.g., cell segmentation, cell classification, phenotypic profiling, tissue segmentation, feature extraction, and image registration) applied to biological and clinical imaging modalities.\n· Build tools to evaluate AI/ML and vision model performance, establish benchmark datasets, and quantify model quality, robustness, and drift over time.\n· Partner with product managers, bioimage analysts, and research scientists to understand user workflows, shape requirements, and translate complex scientific imaging needs into actionable technical specifications.\n· Develop and maintain scalable cloud infrastructures and data pipelines for collecting, structuring, storing, and accessing large-scale multi-dimensional imaging datasets (e.g., OME-TIFF, Zarr, HDF5).\n· Optimize GPU memory footprint, batching, and inference throughput for large image pipelines and deep neural network models.\n· Contribute to architectural decisions, code reviews, and the evolution of engineering and MLOps processes for computer vision models.\n· Be willing to span the full stack and contribute where needed, even outside of core areas of expertise.\n· Stay up-to-date with emerging computer vision technologies and industry best practices while promoting a culture of continuous learning, collaboration, and curiosity.\nWho You Are\n· PhD, Master’s with 3-5 years, or Bachelor’s with 4-7 years experience with a degree in Computer Science, Biomedical Engineering, Electrical Engineering, Computational Biology, or a related technical field with focus on machine learning engineering and computer vision.\n· Strong proficiency with AI/ML frameworks and computer vision libraries (e.g., PyTorch, TensorFlow, OpenCV, MONAI, Scikit-Image, torchvision, Napari, or Bio-Formats).\n· Deep expertise in computer vision algorithms (e.g., CNNs, Vision Transformers, UNet, SAM/Segment Anything, Cellpose).\n· Expert knowledge of machine learning theory, image processing fundamentals, object detection, instance segmentation, and quantitative image analysis.\n· Demonstrated experience working with high-dimensional scientific imaging data (e.g., fluorescence/brightfield microscopy, digital pathology whole slide images, high-content screening, multiplexed imaging, etc).\n· Strong knowledge of GPU acceleration, parallel computing, CUDA, and ML performance optimization for large image datasets.\n· Experience with Kubernetes, relational databases, NoSQL databases, object storage, and cloud-native architectures in public clouds (ideally AWS).\n· Proven understanding and application of software engineering best practices, CI/CD, and MLOps principles.\n· Excellent communication skills and ability to build trusted partnerships with scientific collaborators, bioimage analysts, and cross-functional teams.\n· Ability to quickly acquire new technologies, domain knowledge, and programming languages with a passion for continuous learning.\nPreferred Qualifications\n· Experience with multi-modal data fusion (combining scientific imaging with genomics, transcriptomics, or clinical tabular data).\n· Experience working directly with biomedical scientists or in a pharma/biotech research environment.\n· Experience with workflow automation, GenAI, Vision-Language Models, and/or AI agents.\nOnsite presence on our South San Francisco campus is expected for at least 3 days a week.\nRelocation Assistance benefits are not available for this posting.\nThe expected salary range for this position based on the primary location of San Franscico, CA is $168,100- $312,300 Annual. This position is open to both SE6 and SE7 levels, with final leveling to be determined upon completion of the interview process. 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.\nThis position also qualifies for the benefits detailed here:\nBenefits\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":5721,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Relocation assistance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Biotechnology","Health Care","Care Coordination & Population Health"],"lifecycle":[{"event":"open","at":"2026-10-21T08:15:54Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.896,"p_room":1,"age_days":4,"expected_fill_days":26,"reasons":["conf:25","velocity","win:early"],"computed_at":"2026-10-23T05:54:15Z"},"pay":{"stated_usd_annual":312300,"is_top_pay":true},"html_url":"https://alion.io/job/genentech-senior-ai-engineer-imaging","json_url":"https://alion.io/job/genentech-senior-ai-engineer-imaging.json","meta":{"generated_at":"2026-10-23T22:15:24Z","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":4903,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"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-ai-engineer-imaging"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"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-ai-engineer-imaging"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"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-ai-engineer-imaging"},{"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-ai-engineer-imaging\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgenentech-senior-ai-engineer-imaging"}]}