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 projects
• Demonstrated 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
• Rapidly prototype and iterate on solutions to challenging problems
• Work in a fast-paced environment with changing priorities
• Demonstrated proficiency to solve real world computer vision problems with machine learning
• Master’s degree in Robotics, Machine Learning, Computer Vision, Computer Science or a closely related field
• Demonstrated ability to:
• Experience with major deep learning frameworks such as PyTorch
• 4+ years of experience in software development with a focus on robotic manipulation or related areas
• Determine and communicate justification of technical priorities
• Work independently on a variety of projects while maintaining focus
• Strong verbal and written communication skills, capable of explaining complex ideas clearly and concisely to both technical and non-technical stakeholders
• Develop on and troubleshoot real robotic systems
• Mentor junior engineers
• Strong development expertise in Python and C++
• Experience with data science tools & libraries like numpy, pandas, scipy, matplotlib, scikit-learn
• MS / PhD in Machine Learning, Computer Vision, Computer Science or a closely related field
• Demonstrated technical proficiency in computer vision applied to robotic manipulation, such as grasp estimation or long-tailed object detection & segmentation in clutter
• Experience with:
• Robotic vision sensors and camera to robot calibration
• Both RGB and depth data
• Collecting and training on real and synthetic datasets, including various forms of data augmentation
• Applying machine learning to hardware interacting with the real world
• Real-time perception-based control
• Robot simulators (e.g. Isaac Sim)
• Combining model-based and data-driven approaches
• Docker, cloud computing, or similar applications
• Experiment tracking and dataset management (e.g. Weights & Biases)
• Database systems as data source, such as MongoDB
• ROS or ROS2
• Parallel/distributed systems and asynchronous/concurrent programming