Stay current with state‑of‑the‑art research in Machine Perception (computer vision, machine learning, LLMs, world models, and related areas).
Research relevant papers and design, run, and evaluate experiments.
Define and drive perception performance KPIs (e.g., accuracy, latency, memory), including work on neural architecture search, quantization, and algorithmic improvements.
Partner with Product and Development teams to provide input on deploying ML models into production.
Collaborate with Hardware teams to provide technical feedback that informs future hardware decisions.
Required Qualifications
6+ years of relevant industry experience.
Strong background in computer vision and deep learning (e.g., detection, segmentation, tracking, 3D perception).
Excellent Python software engineering skills.
Expertise in PyTorch (or equivalent) and modern CV architectures (CNNs, Transformers).
Proven production ML experience, including training, evaluation, deployment, and monitoring of CV models.
Experience optimizing models for latency, memory, and quality, especially for edge or resource‑constrained systems.
Preferred Qualifications
Solid C++ experience for performance‑critical components.
Experience with 3D vision and multi‑modal perception (depth, point clouds, sensor fusion).
Model and inference optimization experience (quantization, TensorRT, ONNX, edge deployment).
Familiarity with distributed training and MLOps (CI/CD, experiment tracking).
Domain experience in XR, robotics, or real‑time systems.
Don't forget to mention EuroTechJobs when applying.