{"id":2406434,"url":"https://alion.io/job/wing-staff-machine-learning-engineer-simulation","title":"Staff Machine Learning Engineer, Simulation","company":{"id":5393,"name":"Wing","domain":"wing.com","url":"https://alion.io/company/wing","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"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":["Palo Alto, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":274000,"max":292000,"currency":"USD","period":"year","gross":null,"usd_annual":292000},"salary_estimate":null,"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Gaussian Splatting","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Self-Supervised Learning","optional":false},{"name":"Sim-to-Real","optional":false},{"name":"Transfer Learning","optional":false},{"name":"World Models","optional":false}],"status":"live","first_seen_at":"2026-07-17T18:11:59Z","employer_posted_date":"2026-08-07","last_verified_at":"2026-10-13T22:52:34Z","board_verified":true,"closed_at":null,"days_open":88,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":88},"description":"About Wing: \nWing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics. Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution. Wing’s fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes. We design, build, and operate our aircraft, and offer drone delivery services on two continents. Our technology is designed to be easy to integrate into existing delivery and logistics networks, offering a scalable drone delivery solution for a broad range of businesses. Wing is a part of Google's parent company, Alphabet, and our mission is to create the preferred means of delivery for the planet. If you're ready to do the greatest work of your life, come join us.\nAbout the Role:\nWing is looking for a Staff Machine Learning Engineer, Simulation to join our Simulation team. This role ishybrid based in Palo Alto.\nSimulation is a core technology for Wing. We provide essential tools for R&D and are critical to ensuring the reliability of our fleet of autonomous aircraft. The simulation team’s work spans vehicle physics and sensor modeling, large-scale simulation frameworks, test infrastructure for backend verification and integrated avionics and system testing.\nThe Staff Machine Learning Engineer, Simulation is a foundational role for someone who thrives on both technical execution and strategic growth. You will be a key driver in integrating advanced ML techniques into Wing’s simulation stack. You will define and execute the strategy for enhancing simulator realism, and develop industry-leading simulation solutions using advanced generative and reconstructive ML algorithms to model the real world.\nWhat You’ll Do: \nLead the design, development and deployment of world models and generative systems for realistic and controllable sensor generation for large-scale simulation at Wing’s autonomous system.\nDevelop generative pipelines to build high-fidelity synthetic datasets, leveraging SOTA multimodal models, diffusion techniques and world-models to simulate complex 4D environments.\nPartner with research teams across Alphabet to integrate advanced modeling techniques.\nChampion sim-to-real efforts, using domain adaptation and transfer learning techniques to ensure our simulated models faithfully capture the behaviors of physical, on-vehicle systems.\nApply VLMs to enhance the understanding and controllability of our world simulation products.\nPlay a pivotal role in shaping the broader AI infrastructure across the organization, establishing best practices, optimizing workflow management for large-scale training, and championing foundational AI initiatives.\nWhat You’ll Need: \n12+ years of experience developing and designing machine learning applications, autonomous systems, or simulation platforms.B.S, M.S., or Ph.D. degree or equivalent practical experience in Computer Science, Machine Learning, Robotics, or a related field.\nDemonstrated ability to lead technical ML projects of significant scope and complexity, driving initiatives from research to production-ready solutions.\nDeep expertise in 3D World Modeling or 3D computer vision.\nFamiliarity with 3D reconstruction and rendering techniques (e.g., 3D Gaussian Splatting).\nIn-depth knowledge of generative AI, predictive world models, autoregressive models, or self-supervised learning from multi-modal sensor streams.\nHands-on experience with sim-to-real transfer, domain adaptation, and world models.\nExperience developing testing frameworks and evaluating ML models for edge cases and rare events in complex systems.\nThe US base salary range for this full-time position is the salary range below + bonus + equity + benefits. Wing’s salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your location during the hiring process.\nSalary Range\n$274,000—$292,000 USD\nWing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. Employment at Wing is based solely on a person's merit and qualifications directly related to professional competence. Wing does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.\nIf you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our Candidate Accommodations Request Form.","description_format":"text","description_chars":4859,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Drones"],"lifecycle":[{"event":"open","at":"2026-10-13T00:56:47Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.486,"p_room":0.28,"age_days":87,"expected_fill_days":29,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-13T05:45:00Z"},"pay":{"stated_usd_annual":292000,"is_top_pay":false},"html_url":"https://alion.io/job/wing-staff-machine-learning-engineer-simulation","json_url":"https://alion.io/job/wing-staff-machine-learning-engineer-simulation.json","meta":{"generated_at":"2026-10-14T01:43:00Z","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":2473,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":5393},"rest":"https://alion.io/mcp/rest/get_company?id=5393"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwing-staff-machine-learning-engineer-simulation"},{"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%2Fwing-staff-machine-learning-engineer-simulation"},{"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%2Fwing-staff-machine-learning-engineer-simulation"},{"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/wing-staff-machine-learning-engineer-simulation\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwing-staff-machine-learning-engineer-simulation"}]}