{"id":141405,"url":"https://alion.io/job/waabi-research-engineer","title":"Research Engineer","company":{"id":4483,"name":"Waabi","domain":"waabi.ai","url":"https://alion.io/company/waabi","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":92,"open_postings":66,"ghost_share":0,"stale_share":0.106,"repost_share":0,"time_to_fill_p50_days":150,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","Dallas, United States","Pittsburgh, United States","Phoenix, United States","Toronto, Canada","Canada"],"countries":["US","CA"],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":209000,"max_usd":457000,"period":"year","method":"role_country_seniority_unknown","sample_n":4027},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"C++","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"Rust","optional":true}],"status":"live","first_seen_at":"2024-06-13T23:19:57Z","employer_posted_date":"2024-06-13","last_verified_at":"2026-10-18T05:43:32Z","board_verified":true,"closed_at":null,"days_open":856,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":856},"description":"As a Research Engineer, you will be at the forefront of advancing and deploying artificial intelligence algorithms for our self-driving vehicles. You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that enable our vehicles to understand and navigate the world around them. We value originality, innovation, and a commitment to rigorous experimental validation and code quality as we strive to bring research ideas into production and push the boundaries of self-driving technology. Senior engineers are welcome to apply.\nYou will...\nPrototype, evaluate, and iterate on solutions, using real-world data and simulations, to improve the accuracy, robustness, and safety of our self-driving algorithms.\nFormulate problems and propose pragmatic and long-term solutions based on research insights, leveraging your expertise in deep learning, computer vision, and self-driving technologies.\nSupport deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into our self-driving system.\nChampion engineering excellence, ensuring high-quality, well structured and tested code.\nCollaborate in a multidisciplinary team solving problems related to perception, motion forecasting, planning, traffic modeling and sensor simulation, integrating research findings into our self-driving system and contributing to the development of a unified self-driving platform.\nStay up-to-date with the latest advancements in the field of artificial intelligence, machine learning, computer vision, and self-driving technologies, and apply insights from the literature.\nWork with large datasets from various sources as well as Waabi World, our high-fidelity simulator.\nContribute to the publication of research findings in conferences as well as Waabi's blog.\nQualifications:\nBachelor's in computer science, engineering, machine learning, or a related technical discipline.\nExperience working on applied research projects.\nPassion for taking research ideas and turning them into practical solutions for real-world applications.\nSolid understanding of computing fundamentals, including code efficiency.\nProficient in Python programming with a focus on writing high-quality, well-structured, and tested code.\nComfortable working with large datasets for machine learning applications.\nBonus/nice to have:\nMaster/PhD in machine learning, computer science, engineering, or a related field.\nExperience in shipping machine learning features/models into production.\nStrong grasp of machine learning literature, including current trends and state-of-the-art techniques.\nPrevious experience in self-driving technology or related fields.\nPublications in top-tier conferences or journals related to artificial intelligence, machine learning, computer vision, or self-driving technology.\nExperience in working with platform teams and collaborating with research teams to implement and validate deep learning models.\nSolid experience with concurrent, parallel, and distributed computing techniques for efficient computation.\nProficiency in Pytorch, Rust, C++ and/or 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