Senior Computer Vision / ML Engineer
Core
Develop and implement computer vision and deep learning algorithms for detection, segmentation, tracking, and re-identification on large-scale real-world video data, integrating them into production systems.
Role type
Senior IC computer vision and machine learning engineer
Builds
High-performing computer vision models and robust production-quality inference pipelines
Domain
Agriculture technology (FarmSee) + Computer Vision / Deep Learning
Deliverable
production ML models
Required skills
Computer vision algorithms, deep learning, Python, PyTorch, image segmentation, multi-object tracking, visual re-identification, model optimization, software design patterns, AI-assisted development tools
Preferred skills
TensorRT, NVIDIA Triton Inference Server, GPU workload profiling
Technologies
PyTorch, Python, Codex, Claude Code, Cursor, TensorRT, NVIDIA Triton
Responsibilities
Develop and implement CV/DL algorithms for detection, segmentation, tracking, and re-identification; Research, prototype, and evaluate ML approaches using real-world datasets; Design experiments and analyze model failures to improve accuracy; Optimize models and inference pipelines for performance and scalability; Collaborate with backend and infrastructure teams to integrate algorithms into production systems.
Seniority
Senior, hands-on IC
