{"id":3294530,"url":"https://alion.io/job/lam-research-vision-systems-engineer-4","title":"Vision Systems Engineer 4","company":{"id":58649,"name":"Lam Research","domain":"lamresearch.com","url":"https://alion.io/company/lam-research","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"C","score":57,"open_postings":621,"ghost_share":0.435,"stale_share":0.064,"repost_share":0.704,"time_to_fill_p50_days":72,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tualatin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Databricks","optional":true},{"name":"Edge AI","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-07-28T23:01:58Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-10-30T01:32:26Z","board_verified":true,"closed_at":null,"days_open":93,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":93},"description":"The group you’ll be a part of\nIn the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry.\nThe impact you’ll make\nAt Lam, as a Product Engineer, you thrive in high-stakes, dynamic environment, driving product development at the forefront of the semiconductor equipment industry. Collaborating closely with customers and internal teams, you will provide real-time problem-solving to customer challenges and to enhance our products. Your passion for engaging with customers and innovative engineering drives progress in our industry, tackling the once unsolvable.\nIn this role, you will directly contribute to Equipment Intelligence team in The Deposition Group.\nWhat you’ll do\nDesign, develop, and deploy computer vision algorithms for detection, classification, segmentation, anomaly detection, and predictive analytics.\nBuild scalable machine learning and deep learning models using image, video, and multimodal sensor data.\nLead the complete data science lifecycle, including data collection, labeling, feature engineering, model training, validation, deployment, and monitoring.\nDevelop robust image-processing pipelines utilizing modern computer vision frameworks and cloud technologies.\nDefine data quality standards and establish model performance metrics to ensure production readiness.\nCollaborate with process engineers, software developers, hardware engineers, and product teams to deliver integrated vision solutions.\nConduct root-cause analysis and use advanced analytics to improve yield, process stability, and equipment performance.\nDrive innovation by evaluating emerging AI, machine learning, and computer vision technologies.\nMentor junior engineers and provide technical guidance on best practices in data science and machine learning.\nWho we’re looking for\nWe are seeking a highly skilled Vision System Data Science Engineer to lead the design, development, and deployment of advanced computer vision and machine learning solutions for complex industrial and manufacturing applications. The ideal candidate combines deep expertise in data science, computer vision, machine learning, and software engineering to transform image and sensor data into actionable insights that improve product quality, process control, and operational efficiency. As a senior technical contributor, you will drive end-to-end vision system development, collaborate with cross-functional teams, and provide technical leadership in AI-driven imaging and analytics initiatives.\nMinimum Qualifications:\nMaster's degree in Data Science, Computer Science, Physics, or related field with 8+ years of relevant experience; or Ph.D. with 5+ years of experience.\nStrong expertise in:\nComputer Vision\nMachine Learning and Deep Learning\nStatistical Modeling and Experimental Design\nImage Processing and Pattern Recognition\nProficiency C/C++ , in Python and scientific computing libraries such as:\nTensorFlow and/or PyTorch\nOpenCV\nExperience developing and deploying production AI/ML systems.\nStrong knowledge of CNNs, object detection, segmentation, and anomaly detection methodologies.\nExperience with cloud platforms (Azure, AWS, or GCP) and MLOps practices.\nAbility to handle large-scale structured and unstructured datasets.\nPreferred qualifications\nExperience in semiconductor manufacturing, industrial automation, robotics, medical imaging, or advanced inspection systems.\nKnowledge of optical systems, cameras, sensors, and imaging hardware.\nExperience with edge AI deployment and real-time inference systems.\nFamiliarity with SQL, Spark, Databricks, and distributed computing environments.\nIncreased process efficiency, yield, or product quality through AI-driven insights.\nSuccessful deployment and adoption of vision solutions in production environments.\nTechnical leadership and influence across multiple engineering programs.\nOur commitment\nWe believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.\nLam Research (\"Lam\" or the \"Company\") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.\nLam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.\nOur Perks and Benefits\nAt Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.","description_format":"text","description_chars":5774,"description_truncated":false,"requirements":{"experience_years_min":8,"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":false,"industries":["Robotic Components & Sensors","Semiconductor Equipment"],"lifecycle":[{"event":"open","at":"2026-10-26T21:17:58Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 233 · green card filings: 85","filings_12m":233,"filings_prev_12m":267,"green_card_filings_12m":85,"median_offered_wage_usd":137500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+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":0}],"liveness":{"score":33,"band":"fade","label":"Fading","p_open":1,"p_active":0.75,"p_room":0.44,"age_days":92,"expected_fill_days":72,"reasons":["conf:2","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/lam-research-vision-systems-engineer-4","json_url":"https://alion.io/job/lam-research-vision-systems-engineer-4.json","meta":{"generated_at":"2026-10-30T03:05:28Z","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":4055,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":58649},"rest":"https://alion.io/mcp/rest/get_company?id=58649"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flam-research-vision-systems-engineer-4"},{"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%2Flam-research-vision-systems-engineer-4"},{"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%2Flam-research-vision-systems-engineer-4"},{"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/lam-research-vision-systems-engineer-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flam-research-vision-systems-engineer-4"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3294530}},{"tool":"search_jobs","arguments":{"company":"lamresearch.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3294530},"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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