Principal Machine Learning Scientist

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.

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