●     Join us as a dynamic Engineer who will collaborate with a multidisciplinary team, pioneering ML-driven solutions for cutting-edge robotic applications in store replenishment and e-commerce order fulfillment.

●     We’re looking for a trailblazer who thrives in delivering tangible results to customers, spearheading projects from conception to successful operation.

Skills/Technical Requirements:

●     8+ years experience in software development with a focus on machine learning.

●     Excellent communication skills and ability to work as part of an interdisciplinary team

●     Demonstrated ability to train and analyze machine learning models to solve real-world problems and meet target KPIs in a production environment

●     Experience in deep learning frameworks such as Pytorch and/or Tensorflow

●     Strong programming skills in Python or C++.

●     Experience with data science tools & libraries like numpy, pandas, scipy, matplotlib, scikit-learn, jupyter notebooks, bash scripting.

●     Experience with experiment tracking and dataset management (e.g. Weights & Biases)

●     Knowledge of software design & version control

   Preferred Qualifications:

●   Master’s degree or PhD in Computer Science, Computer Vision, Robotics, or closely related field

●   Strong knowledge and experience in one or multiple of the following areas: modern and/or classical computer vision (e.g. long-tailed object detection & instance segmentation, grasp estimation, anomaly detection, depth estimation, tracking, 3D reconstruction), motion planning, robot controls

●   Experience working with robot simulation and hardware

●   Experience working with RGB and depth image data and/or 3D point cloud data

●   Experience building production quality systems based on machine learning and/or deep learning methods.

●   Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.

●   Experience working with annotation tooling (e.g. Scale, Labelbox) and curating datasets for annotation and model improvements

●   Experience with automatic testing and production deployment

●   Proficiency in parallel/distributed systems, asynchronous programming, NoSQL databases (e.g. MongoDB), and messaging systems (ROS, gRPC, Kafka)

Educational Requirements: Bachelor’s degree in Computer Science, Computer Vision, Robotics, or closely related field

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