{"id":"68u2e6960e","title":"Autonomy Perception CV/ML SWE","posted_at":"2026-06-08T16:38:05.000Z","apply_url":"https://job-boards.greenhouse.io/flyzipline/jobs/4359084003","locations":["South San Francisco, CA"],"employment_type":null,"workplace_type":null,"seniority_level":"senior","description_language":"en","source_name":"greenhouse","source_url":"https://www.zipline.com/careers?gh_jid=4359084003#open-roles","salary":null,"job_summary":"Zipline is a global drone delivery service operating autonomous logistics systems for critical supplies. This role involves developing perception algorithms and machine learning models to enable safe, autonomous navigation for their aircraft.","job_description":{"responsibilities":["Design and deploy algorithms for aircraft and obstacle detection using monocular and multi-view camera systems.","Develop scalable model training pipelines and rigorous evaluation frameworks.","Collaborate with systems and flight test teams to design end-to-end test plans.","Create debugging, visualization, and analysis tools for field data.","Refine ML models and classical tracking algorithms using simulation and real-world feedback.","Contribute to the long-term architecture of the detect-and-avoid system."],"minimum_qualifications":["8+ years of professional experience in perception systems for autonomous robots, aircraft, or vehicles.","Expertise in state-of-the-art deep learning models for object detection and tracking.","Deep knowledge of geometric computer vision techniques including stereo vision, depth-from-motion, and visual odometry.","Proven track record of overcoming performance bottlenecks and resolving operational edge cases.","Hands-on experience supporting commercially operated autonomous systems.","Exceptional communication and teamwork abilities."],"preferred_qualifications":[]},"visa_sponsorship":null,"experience_years_min":8,"job_address":null,"job_city":"South San Francisco","job_state":"CA","job_country":"US","location_lat":37.6442434,"location_lng":-122.40115370000001,"keywords":["machine learning","computer vision","deep learning","communication","architecture","Collaborate","performance","engineering","end-to-end","operations","algorithms","commercial","debugging","pipelines","ML models","standards","scalable","accuracy","consumer","teamwork","latency","develop","design","vision","Growth","global","deploy","visual","teams","local","Sales","data","art","ML","3D"],"company":{"name":"Zipline","logo_url":"https://img.logo.dev/flyzipline.com?token=pk_fWx5G5QrQMm-0Ud8BW3mBg&size=64&format=png","description":"Zipline designs, manufactures, and operates an autonomous instant delivery and logistics system to transport goods such as medical supplies and consumer products.","website_url":"https://flyzipline.com","linkedin_url":"https://www.linkedin.com/company/flyzipline","glassdoor_url":null,"x_url":"https://x.com/zipline","instagram_url":null,"youtube_url":"https://www.youtube.com/@flyzipline","github_url":"https://github.com/ZiplineTeam","huggingface_url":null,"tiktok_url":null,"crunchbase_url":"https://www.crunchbase.com/organization/zipline-international","facebook_url":"https://www.facebook.com/flyzipline/","employee_count_range":"1001-5000","employee_count":null,"founded_year":2014,"headquarters":{"address":"333 Corey Way, South San Francisco, CA 94080, United States","city":"South San Francisco, CA","country":"US","lat":37.622452,"lng":-122.3839894},"industry":"logistics","company_type":"startup","total_funding_usd":1430000000,"locations":["Abidjan, Côte d’Ivoire","Abuja","Abuja, Nigeria","Accra","Atlanta, GA","Austin, TX","Bend, OR","Bentonville, AR","Boston, MA","California, USA","Chicago, IL","Cleveland, OH","Côte d'Ivoire","Dallas, TX","Dallas-Fort Worth, TX","Daloa, Sassandra-Marahoué District","Esparto, CA","Florida, USA","Fort Worth, TX","Half Moon Bay","Half Moon Bay, CA","Houston, TX","Kafanchan, Kaduna State","Kigali, Rwanda","Los Angeles, CA","Nairobi","Ogoja, Cross River State","Pambegua, Kaduna State","Pea Ridge, AR","Phoenix, AZ","Rwanda","Seattle, WA","South San Francisco, CA","Sydney","Washington, DC"]}}