{"id":2409592,"url":"https://alion.io/job/waymo-2027-summer-intern-msphd-perception-model-lifecycle","title":"2027 Summer Intern, MS/PhD, Perception, Model Lifecycle","company":{"id":98,"name":"Waymo","domain":"waymo.com","url":"https://alion.io/company/waymo","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":143,"ghost_share":0,"stale_share":0.462,"repost_share":0,"time_to_fill_p50_days":76,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","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":{"min":70,"max":70,"currency":"USD","period":"hour","gross":null,"usd_annual":140000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"JAX","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-12T22:03:20Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-15T17:22:57Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.\nThe Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. \nThe core challenge within Model Lifecycle is accelerating Waymo's ML development cycle. As we scale to new cities and vehicle platforms, our data volume is exploding, and our models are becoming more complex, handling more and more tasks. This team is critical to controlling that complexity.\nWaymo interns work with leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skillset. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!\nThis internship will be based on-site at our headquarters in Mountain View, CA.\nYou Will:\nOwn an end-to-end ML project: form a hypothesis, build the dataset, train and evaluate models, and analyze the results.\nDesign and run experiments that measure how training data choices (curation, mining, balancing, labeling) affect Perception model quality.\nBuild and refine datasets from large-scale multi-sensor driving data (camera, lidar, radar).\nTrain and evaluate Perception models with Waymo's existing training and evaluation tooling.\nDevelop metrics and analyses that explain where models fail and which data would fix those failures.\nShare findings with ML engineers and research scientists, and help land the results in production model training.\nYou Have:\nCurrently enrolled in an MS or PhD program in Computer Science, Machine Learning, Robotics, or a related field.\nHands-on experience training and evaluating deep learning models in JAX, PyTorch, or TensorFlow.\nHands-on experience with the data side of ML, such as building datasets, data curation, labeling, or data quality analysis.\nStrong programming skills in Python.\nAbility to design controlled experiments and draw sound conclusions from quantitative results.\nWe Prefer:\nExperience on an end-to-end ML project where you owned both the data and the model.\nResearch or industry experience in data-centric ML, such as data selection, active learning, data valuation, or curriculum learning.\nExperience with perception tasks such as 3D detection, tracking, segmentation, or multimodal (camera and lidar) models.\nExperience processing large datasets with distributed tools such as Apache Beam, Spark, or Dataflow.\nPublications at ML or computer vision venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV).\nPassion for data-centric AI and autonomous driving.\nNote: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.\nThe expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.\nHourly Masters Pay\n$70—$70 USD\nThe expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.\nHourly PhD Pay\n$85—$85 USD","description_format":"text","description_chars":4766,"description_truncated":false,"requirements":{"experience_years_min":null,"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":[],"lifecycle":[{"event":"open","at":"2026-10-13T01:49:48Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 331 · green card filings: 28","filings_12m":331,"filings_prev_12m":227,"green_card_filings_12m":28,"median_offered_wage_usd":206330,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+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":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":76,"reasons":["conf:3","velocity","win:early","comp:junior,brand"],"computed_at":"2026-10-15T05:46:00Z"},"pay":{"stated_usd_annual":140000,"is_top_pay":true},"html_url":"https://alion.io/job/waymo-2027-summer-intern-msphd-perception-model-lifecycle","json_url":"https://alion.io/job/waymo-2027-summer-intern-msphd-perception-model-lifecycle.json","meta":{"generated_at":"2026-10-15T20:08:24Z","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":30624,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":98},"rest":"https://alion.io/mcp/rest/get_company?id=98"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwaymo-2027-summer-intern-msphd-perception-model-lifecycle"},{"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%2Fwaymo-2027-summer-intern-msphd-perception-model-lifecycle"},{"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%2Fwaymo-2027-summer-intern-msphd-perception-model-lifecycle"},{"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/waymo-2027-summer-intern-msphd-perception-model-lifecycle\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwaymo-2027-summer-intern-msphd-perception-model-lifecycle"}]}