{"id":1647977,"url":"https://alion.io/job/berkshire-grey-senior-ml-engineer-computer-vision","title":"Senior ML Engineer, Computer Vision","company":{"id":176524,"name":"Berkshire Grey","domain":"berkshiregrey.com","url":"https://alion.io/company/berkshire-grey","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bedford, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":131000,"max_usd":252000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1268},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"Data Augmentation","optional":true},{"name":"Docker","optional":true},{"name":"Isaac Sim","optional":true},{"name":"ROS","optional":true},{"name":"ROS2","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-22T10:49:39Z","board_verified":true,"closed_at":null,"days_open":44,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":44},"description":"About The Job:\nBerkshire Grey is a leader in the field of AI and robotics, providing innovative solutions for e-commerce, retail replenishment, and logistics. Our technology automates complex pick, pack, sort, and unload operations.\nAs part of the Scoop engineering team, you will develop new approaches to solving challenging trailer-unload computer vision problems for real-world robotic systems. Your work will help robots better perceive, reason about, and interact with dynamic trailer environments, including varied package types, shifting walls, confined spaces, and complex unload conditions. These efforts will enhance the performance, reliability, and throughput of our robotic unloading solutions while unlocking new value for customers. This position offers a unique opportunity to work at the cutting edge of robotics applied to one of the most demanding real-world logistics challenges.\nResponsibilities:\nDevelop solution prototypes for computer vision problems, to improve our robots’ ability to solve increasingly complex tasks at unprecedented speeds\nQuickly prototype solutions, creating demos for stakeholders and visitors\nServe as subject matter for transitioning prototypes to product teams\nIdentify high impact areas for improvements of our robotic systems to solve real problems\nStay abreast of the latest advancements in robotics and related fields, evaluating applicability to our challenges\nAssist with mentorship of more junior engineers or interns\nCommunicate technical priorities and status.\nMinimum Qualifications:\nMaster’s degree in Robotics, Machine Learning, Computer Vision, Computer Science or a closely related field.\n4+ years of experience in software development with a focus on robotic manipulation or related areas.\nStrong development expertise in Python and C++.\nExperience with major deep learning frameworks such as PyTorch.\nExperience with data science tools & libraries like numpy, pandas, scipy, matplotlib, scikit-learn\nDemonstrated experience training and adapting of existing machine learning architectures for computer vision, such as CNNs/ViTs or VLMs, to solve tasks such as grasp estimation, object detection/segmentation, depth estimation, or anomaly/outlier detection\nDemonstrated proficiency to solve real world computer vision problems with machine learning\nDemonstrated ability to:Develop on and troubleshoot real robotic systems\nDetermine and communicate justification of technical priorities\nRapidly prototype and iterate on solutions to challenging problems\nWork independently on a variety of projects while maintaining focus\nWork in a fast-paced environment with changing priorities\nMentor junior engineers\n\nStrong verbal and written communication skills, capable of explaining complex ideas clearly and concisely to both technical and non-technical stakeholders\nProvide technical leadership on key projects\nPreferred Qualifications:\nMS / PhD in Machine Learning, Computer Vision, Computer Science or a closely related field.\nDemonstrated technical proficiency in computer vision applied to robotic manipulation, such as grasp estimation or long-tailed object detection & segmentation in clutter\nExperience with:Robotic vision sensors and camera to robot calibration\nBoth RGB and depth data\nCollecting and training on real and synthetic datasets, including various forms of data augmentation\nApplying machine learning to hardware interacting with the real world\nReal-time perception-based control\nRobot simulators (e.g. Isaac Sim)\nCombining model-based and data-driven approaches\nDocker, cloud computing, or similar applications\nExperiment tracking and dataset management (e.g. Weights & Biases)\nDatabase systems as data source, such as MongoDB\nParallel/distributed systems and asynchronous/concurrent programming\nROS or ROS2\n\nPossessing some of these preferred qualifications is great to have but not required and should not discourage applicants from applying.\n6110-2607RS","description_format":"text","description_chars":3936,"description_truncated":false,"requirements":{"experience_years_min":4,"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":["Robotic Software & Control Systems","Robotics"],"lifecycle":[{"event":"open","at":"2026-10-02T00:08:08Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 16 · green card filings: 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