AI Research Engineer – Vision AI, VLM, Physical AI

🕒 April 17

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Logo of Thermo Fisher Scientific

Thermo Fisher Scientific

10,000+ employees

⚕️ Healthcare Insurance

🧬 Biotechnology

💊 Pharmaceuticals

Healthcare Insurance • Biotechnology • Pharmaceuticals

Thermo Fisher Scientific is a leading global supplier of scientific instrumentation, reagents and consumables, and software services. They support the life sciences, healthcare, and analytical chemistry sectors by providing robust solutions for laboratory research and production processes. Their innovative products and services encompass a range of applications, including diagnostics, lab workflow automation, and drug discovery.

📋 Description

• Advance Visual Perception: Build and fine‑tune models for detection, tracking, segmentation (2D/3D), pose & activity recognition, and scene understanding (incl. 360° and multi‑view). • Multimodal Reasoning with VLMs: Train/evaluate vision–language models (VLMs) for grounding, dense captioning, temporal QA, and tool use; design retrieval-augmented and agentic loops for perception-action tasks. • Physical AI & Embodiment: Prototype perception‑in‑the‑loop policies that close the gap from pixels to actions (simulation + real data). Integrate with planners and task graphs for manipulation, navigation, or safety workflows. • Data & Evaluation at Scale: Curate datasets, author high-signal evaluation protocols/KPIs, and run ablations that make results irreproducible impossible. • Systems & Deployment: Package research into reliable services on a modern stack (Kubernetes, Docker, Ray, FastAPI), with profiling, telemetry, and CI for reproducible science. • Agentic Workflows: Orchestrate multi-agent pipelines (e.g., ‑LangGraphstyle graphs) that combine perception, reasoning, simulation, and ‑code generation to ‑selfcheck and ‑selfcorrect.

🎯 Requirements

• Masters/Ph.D in CS/EE/Robotics (or related), actively publishing in CV/ML/Robotics (e.g., CVPR/ICCV/ECCV, NeurIPS/ICML/ICLR, CoRL/RSS). • Strong PyTorch (or JAX) and Python; comfort with CUDA profiling and mixed precision training. • Demonstrated research in computer vision and at least one of: VLMs (e.g., LLaVA style, video-language-models), embodied/physical AI, 3D perception. • Proven ability to move from paper → code → ablation → result with rigorous experiment tracking.

🏖️ Benefits

• Real impact: Your research ships—powering core features in our MVPs and products. • Mentorship: Work closely with our Principal Architect and senior engineers/researchers. • Velocity + Rigor: We balance top‑tier research practices with pragmatic product focus.

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