Senior Machine Learning Engineer - Perception

Pickle is on the hunt for a dynamic and driven Senior Machine Learning Engineer to revolutionize the future of warehouse automation. This role will focus on advancing our perception stack by refining our data engines, architecting robust 2D/3D vision models, and deploying them to production hardware to ensure our robots handle the chaotic reality of the physical world. Responsibilities Architect multi-modal vision systems: design and train models that fuse 2D inputs with 3D geometry to solve complex grasping and scene understanding tasks. Lead end-to-end model deployment: own the transition from research to production, including model graph optimization, quantization (TensorRT), and runtime integration to ensure low‑latency inference on our edge compute hardware (NVIDIA Orin). Drive technical excellence: conduct rigorous code reviews, mentor junior engineers, and contribute to the strategic perception roadmap. Own the data strategy: take ownership of our labeled dataset and pipeline, identify bottlenecks, improve data quality, and implement active learning strategies to resolve edge cases and improve model robustness. Ensure production reliability: write high‑performance production code (Python/C++) to seamlessly integrate perception outputs into the broader robotic control stack, prioritizing safety and system stability. Skills 5+ years of experience in computer vision and machine learning, with a track record of shipping ML products to the physical world (robotics, AV, or IoT). Expert‑level Python and PyTorch skills; working knowledge of C++ for deployment and system integration. Experience with 2D vision (YOLO, MaskRCNN, Transformers) and 3D vision (PointNet, grasp generation, multi‑view geometry, camera calibration). Proficiency with inference optimization tools such as TensorRT, ONNX Runtime, or CUDA to maximize hardware utilization. Experience curating large‑scale datasets, detecting statistical bias, and automating quality assurance within the ML pipeline. Ability to translate high‑level product requirements into specific engineering tasks and explain technical trade‑offs to non‑expert stakeholders. Familiarity with Docker, AWS/GCP (S3, EC2), labeling platforms, and experiment tracking tools. Pay Pay at Pickle. Salary range listed here is provided in accordance with Massachusetts law and reflects what we reasonably and in good faith expect to offer for this role. We often consider candidates at different levels of seniority, and final compensation will reflect the level at which a candidate is hired, along with factors like experience and location. Benefits Health, dental, and vision insurance Unlimited vacation and all federal and state holidays 401(k) contributions of 5% of your salary Travel supplies and other items to improve working life #J-18808-Ljbffr Pickle Robot Company