Senior Machine Learning Engineer (Computer Vision)

• As 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
• Develop solution prototypes for computer vision problems, to improve our robots’ ability to solve increasingly complex tasks at unprecedented speeds
• Quickly prototype solutions, creating demos for stakeholders and visitors
• Serve as subject matter for transitioning prototypes to product teams
• Identify high impact areas for improvements of our robotic systems to solve real problems
• Stay abreast of the latest advancements in robotics and related fields, evaluating applicability to our challenges
• Assist with mentorship of more junior engineers or interns
• Communicate technical priorities and status

Benefits

• Healthcare - Full medical, dental and vision. Life insurance, gym stipends and wellness programs
• Vacation - We value hard work and we like to have fun. Take time when you need it
• Recognition - Peer shout outs, achievement celebrations and leadership awards let you know you’ve made a difference
• Retirement - Stock options and generous 401(k) matching
• Nutrients - Lunch is delivered daily, a plethora of snacks, gourmet coffee, Soylent, and top-shelf beverages

Provide technical leadership on key projectsDemonstrated 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 detectionRapidly prototype and iterate on solutions to challenging problemsWork in a fast-paced environment with changing prioritiesDemonstrated proficiency to solve real world computer vision problems with machine learningMaster’s degree in Robotics, Machine Learning, Computer Vision, Computer Science or a closely related fieldDemonstrated ability to:Experience with major deep learning frameworks such as PyTorch4+ years of experience in software development with a focus on robotic manipulation or related areasDetermine and communicate justification of technical prioritiesWork independently on a variety of projects while maintaining focusStrong verbal and written communication skills, capable of explaining complex ideas clearly and concisely to both technical and non-technical stakeholdersDevelop on and troubleshoot real robotic systemsMentor junior engineersStrong development expertise in Python and C++Experience with data science tools & libraries like numpy, pandas, scipy, matplotlib, scikit-learnMS / PhD in Machine Learning, Computer Vision, Computer Science or a closely related fieldDemonstrated technical proficiency in computer vision applied to robotic manipulation, such as grasp estimation or long-tailed object detection & segmentation in clutterExperience with:Robotic vision sensors and camera to robot calibrationBoth RGB and depth dataCollecting and training on real and synthetic datasets, including various forms of data augmentationApplying machine learning to hardware interacting with the real worldReal-time perception-based controlRobot simulators (e.g. Isaac Sim)Combining model-based and data-driven approachesDocker, cloud computing, or similar applicationsExperiment tracking and dataset management (e.g. Weights & Biases)Database systems as data source, such as MongoDBROS or ROS2Parallel/distributed systems and asynchronous/concurrent programming

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