AI Research Engineer: Vision AI / VLM / Physical AI-1

Overview

AI Research Engineer focused on Vision AI, VLMs, and Physical/Embodied AI. You will translate research into production-ready modules for perception, multimodal reasoning, and physical AI systems.

What you'll do

• Build and fine-tune computer vision models for detection, tracking, segmentation, pose/activity recognition, and scene understanding.
• Train and evaluate vision-language models for grounding, dense captioning, temporal QA, and tool use.
• Prototype perception-in-the-loop policies bridging simulation and real data for embodied action.
• Integrate perception outputs with planners/task graphs for manipulation, navigation, or safety workflows.
• Curate datasets and define evaluation protocols/KPIs, performing ablations for reproducible results.
• Package research into services using modern stacks, with profiling, telemetry, and CI.
• Orchestrate multi-agent pipelines combining perception, reasoning, simulation, and code generation for self-check/self-correction.

What you'll need

• M.S./Ph.D. in CS/EE/Robotics (or related) with active publishing in relevant CV/ML/Robotics venues.
• Strong PyTorch (or JAX) and Python, with comfort profiling and mixed-precision training using CUDA.
• Demonstrated research in computer vision and at least one of VLMs, embodied/physical AI, or 3D perception.
• Proven ability to move from paper to code to ablation to results with rigorous experiment tracking.

Details

• Location: Seattle, WA (or Remote).
• Employment type: Full-time.