{"id":2332718,"url":"https://alion.io/job/intuitive-surgical-staff-machine-learning-engineer","title":"Staff Machine Learning Engineer","company":{"id":3128,"name":"Intuitive Surgical","domain":"intuitive.com","url":"https://alion.io/company/intuitive","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":61,"ghost_share":0,"stale_share":0.984,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":179000,"max_usd":364000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":780},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"ONNX","optional":false},{"name":"Perception","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Quantization","optional":false},{"name":"SciPy","optional":false},{"name":"TensorRT","optional":false}],"status":"live","first_seen_at":"2026-09-01T23:13:36Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-10-12T20:12:07Z","board_verified":true,"closed_at":null,"days_open":40,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":40},"description":"It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide.\nWe’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.\nThe problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life.\nIf you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.\n We are developing next-generation AI and machine learning capabilities for the da Vinci robotic surgical platform. As a Staff Machine Learning Engineer, you will lead the design and development of perception and scene understanding systems that interpret surgical imagery in real time, enabling intelligent features that enhance surgeon awareness and decision-making during minimally invasive procedures.\nThis role spans deep learning for surgical image understanding, probabilistic spatial modeling, and 3D scene reasoning. You will build ML systems that operate on endoscopic visual data and integrate multiple sources of clinical and anatomical information to support the surgical workflow. Your work will directly shape how our next-generation robotic systems leverage AI to improve the surgical experience and patient outcomes.\nWe are looking for someone who is deeply product-oriented: you care about building systems that work reliably in the operating room, not just on a benchmark. You understand that the surgeon is your end user, and you are motivated by the clinical impact of helping them perform safer, more confident surgery on real patients.\nWhat You'll Do\nDesign, train, and evaluate deep learning models for semantic understanding of surgical scenes, including dense segmentation and structure detection from endoscopic imagery.\nDevelop structured modeling and inference approaches using statistical modeling, optimization, and related algorithmic methods for complex real-world data.\nDevelop machine learning components and supporting algorithms that meet real-time performance constraints.\nOwn the end-to-end model lifecycle from research prototype to production: architecture design, large-scale training, model optimization (ONNX, TensorRT, mixed-precision), and integration with the da Vinci C++ software stack.\nDefine evaluation methodology with clinically meaningful metrics and statistical validation frameworks appropriate for medical device regulatory submissions.\nCollaborate with surgeons, clinical scientists, and human factors engineers to translate clinical needs into technical requirements.\nPartner with systems and software engineering teams to ensure ML components meet real-time latency, memory, and reliability requirements for deployment on embedded robotic platforms.\nMentor junior engineers and research scientists; establish best practices for experiment tracking, model validation, and reproducible research.\nContribute to intellectual property development through invention disclosures and patent filings.\n Required Skills and Experience\nM.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, Biomedical Engineering, Applied Mathematics, or a closely related field, with graduate training involving computer vision, machine learning, probabilistic modeling, or 3D scene understanding.\n5+ years of post-Ph.D. or 7+ years of post-M.S. industry or applied research experience developing and shipping ML systems, with demonstrated impact on production-grade products or platforms.\nDeep expertise in deep learning for visual recognition, including semantic segmentation, object detection, and/or instance segmentation. Strong familiarity with modern vision architectures.\nStrong foundation in probabilistic modeling and Bayesian inference, including experience with one or more of: graphical models, nonlinear optimization, or MAP estimation for structured problems.\n Proficiency in 3D geometry and spatial reasoning: coordinate frame transformations, rotation representations (SO(3), quaternions, axis-angle), rigid and similarity registrations, and camera projection models.\nHands-on experience with C++ development in a production context. Ability to read and navigate large C++ codebases, build system prototypes, debug C++ components, and interface ML models with C++ software stacks. Expert-level C++ is not required, but working proficiency is essential.\nExperience with model optimization and deployment for latency-sensitive applications: ONNX, TensorRT, quantization, mixed-precision inference, or equivalent embedded/edge deployment toolchains.\n Expert-level Python and PyTorch (or equivalent deep learning framework). Comfortable with NumPy, SciPy, and scientific computing at scale.\nStrong software engineering fundamentals: version control, testing, code review, reproducible experiment management, and collaborative development in a multi-disciplinary team.\n Track record of publications or patents in relevant areas (computer vision, medical image analysis, surgical data science, robotics perception, or probabilistic modeling).\nPreferred Skills and Experience\nExperience with medical image analysis, including familiarity with clinical imaging modalities and annotation pipelines.\nExperience with statistical shape modeling or related approaches for modeling anatomical or biological variation.\nFamiliarity with 3D computer vision techniques such as depth estimation, 3D reconstruction, or geometric reasoning.\nBackground in numerical optimization methods and experience applying them to real-world engineering problems.\nExperience developing ML systems within regulated environments (FDA, ISO 13485, IEC 62304), including design controls, verification and validation, and statistical testing plans for medical devices.\n Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role.\nIntuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.\nMandatory Notices\nU.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status.\nCertain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process).\nFor any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes.\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.\nPreference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee.\nThis position may be filled at a different job level than listed here depending on\nbusiness need and/or on the selected candidate’s experience, knowledge and skills.\nCompensation will be based primarily on the job level at which the role is filled and the\ncandidate’s qualifications, consistent with applicable law.\nWe provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.","description_format":"text","description_chars":9045,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Iowa","iso":null,"kind":"city"},{"name":"Florida","iso":null,"kind":"city"},{"name":"Missouri","iso":null,"kind":"city"},{"name":"Pennsylvania","iso":null,"kind":"city"},{"name":"Maryland","iso":null,"kind":"city"},{"name":"Oklahoma","iso":null,"kind":"city"},{"name":"Arkansas","iso":null,"kind":"city"},{"name":"Delaware","iso":null,"kind":"city"},{"name":"Alabama","iso":null,"kind":"city"},{"name":"Louisiana","iso":null,"kind":"city"},{"name":"South Carolina","iso":null,"kind":"city"},{"name":"Mississippi","iso":null,"kind":"city"},{"name":"Indiana","iso":null,"kind":"city"},{"name":"Tennessee","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Medical & Healthcare Robotics"],"lifecycle":[{"event":"open","at":"2026-10-12T09:24:19Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 251 · green card filings: 131","filings_12m":251,"filings_prev_12m":325,"green_card_filings_12m":131,"median_offered_wage_usd":158521,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+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":55}],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.706,"p_room":0.44,"age_days":40,"expected_fill_days":28,"reasons":["conf:1","win:tail","crowd:brand"],"computed_at":"2026-10-12T21:54:42Z"},"pay":null,"html_url":"https://alion.io/job/intuitive-surgical-staff-machine-learning-engineer","json_url":"https://alion.io/job/intuitive-surgical-staff-machine-learning-engineer.json","meta":{"generated_at":"2026-10-12T21:54:42Z","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":35831,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":3128},"rest":"https://alion.io/mcp/rest/get_company?id=3128"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintuitive-surgical-staff-machine-learning-engineer"},{"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%2Fintuitive-surgical-staff-machine-learning-engineer"},{"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%2Fintuitive-surgical-staff-machine-learning-engineer"},{"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/intuitive-surgical-staff-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintuitive-surgical-staff-machine-learning-engineer"}]}