Principal Machine Learning Scientist

Darum lohnt es sich

About the Team This role works closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross‑functional partners in Cloud Engineering, Product, and Operations. The role spans both deep technical work and collaboration with teams closest to the customer.

What You’ll Do Advance core computer vision model performance (object detection, segmentation, OCR) for warehouse inventory scanning across drone and MHE Vision platforms Own the full ML lifecycle from research and experiment design through production deployment and monitoring — applying rigorous ablation studies and SOTA methodology Collaborate with the ML infrastructure team on model optimization and deployment across cloud and edge inference targets (ONNX, TensorRT, quantization) Work with Operations and Product to understand customer needs and translate them into ML improvements with measurable business impact Provide technical leadership and mentorship to the ML team, raising standards for experiment design, model evaluation, and production readiness Explore next‑generation perception capabilities, including embedded and on‑prem inference optimization for new deployment targets What You’ll Need 10+ years of experience in machine learning or computer vision Deep expertise in CNNs, object detection, image segmentation, and OCR using PyTorch (preferred) or TensorFlow Strong Python proficiency and software engineering fundamentals; hands‑on experience with OpenCV and GPU computing Track record of delivering production ML systems at scale, including model training, evaluation, and deployment MS or PhD in Computer Science, Machine Learning, Robotics, or a related field Nice to Have Experience with drone, robotics, or autonomous systems perception Publications in top vision or robotics conferences (CVPR, ICCV, ICRA, NeurIPS, CoRL) Experience designing and deploying models for real‑time inference on constrained compute platforms Warehouse, logistics, or supply chain domain experience #J-18808-Ljbffr As a Principal‑level IC, you’ll have real input into technical direction — not just executing on decisions, but helping make them.

About the Role We are looking for a Principal Machine Learning Scientist to advance the state of our computer vision systems for warehouse inventory scanning.

You will work across the full ML lifecycle — from research and model architecture through training, deployment, and production monitoring — with a focus on delivering measurable improvements to detection, segmentation, and OCR accuracy across our drone and MHE Vision products.

This role is ideal for a senior ML practitioner who wants principal‑level impact on a core product, a variety of deployment targets (cloud, on‑prem, embedded), and real‑world data with tangible business outcomes.