{"id":25163,"url":"https://alion.io/job/skydio-autonomy-engineer-deep-learning","title":"Autonomy Engineer - Deep Learning","company":{"id":6786,"name":"Skydio","domain":"skydio.com","url":"https://alion.io/company/skydio","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":77,"open_postings":25,"ghost_share":0,"stale_share":0.72,"repost_share":0,"time_to_fill_p50_days":78,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Zurich, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":129000,"max_usd":300000,"period":"year","method":"role_country_seniority_unknown","sample_n":18},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Few-Shot Learning","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Path Planning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-05-27T18:56:54Z","employer_posted_date":"2026-05-27","last_verified_at":"2026-10-18T03:05:32Z","board_verified":true,"closed_at":null,"days_open":143,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":143},"description":"Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond.\nAbout the role:\nLearning a semantic and geometric understanding of the world from visual data is the core of our autonomy system. We are pushing the boundaries of what is possible with real-time deep networks to accelerate progress in intelligent aerial robots that can autonomously navigate in unknown environments and deliver operational value to users. If you are excited about real world applications of deep learning and solving difficult problems in computer vision and autonomy, we would love to hear from you.\nAs a Deep Learning Engineer, you will be responsible for training and deploying optimized models to our products for solving challenging problems such as optical flow estimation, stereo depth estimation, object detection, segmentation and tracking, visual place recognition, localization and mapping, few-shot learning, occupancy networks, automated path planning etc.\nHow you'll make an impact:\nDesign, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system\n\nLeverage massive amounts of real world video and other sensor data for data mining, curation, labeling, training and evaluation\n\nLeverage large scale and diverse synthetic data to power deep learning algorithms\n\nLeverage state-of-the-art foundation models for knowledge distillation and label efficient learning\n\nRefine and optimize models for low-latency on embedded hardware\n\nDevelop evaluation benchmarks and metrics to quantify the performance of autonomous systems\n\nBe a generalist helping out on all aspects of the software when needed\n\nWhat makes you a good fit:\nM.S. or Ph.D. in computer science, electrical engineering or related discipline\n\nDemonstrated hands-on experience designing, training and deploying deep learning models\n\nAbility to deliver high quality, well-architected code (Python/PyTorch and preferably, C++)\n\nLeverage state-of-the-art academic papers and literature for fast iteration\n\nAbility to thrive in a fast paced, collaborative and highly technical team environment\n\nComfortable navigating and delivering within a complex codebase\n\nStrong communication skills\n\n#LI-SM1\nAt Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture.\nQualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws.\nFor positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. 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