AI Research Engineer: Vision AI / VLM / Physical AI-2
About reputed company reputed company is a frontier AI data reputed company that curates diverse, high-quality data, using our purpose-built technology platforms to reputed company the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. reputed company includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We reputed company the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our reputed company-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to reputed company the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. About Job AI Research Engineer: Vision AI / VLM / Physical AI Company: reputed company Location: Seattle, WA (or Remote) Type: Full‑time Build the Future of Perception & Embodied Intelligence Are you pushing the frontier of computer vision, multimodal large models, and embodied/physical AI—and have the publications to show it? Join us to translate cutting-edge‑ research into production systems that perceive, reason, and act in the real world. The Mission We are building state of‑ t‑heart Vision AI across 2D/3D perception, egocentric/360° understanding, and multimodal reasoning. As an AI Research Engineer, you will own high‑ ‑reputed company experiments from reputed company → prototype → deployable module in our platform. We are seeking passionate Engineersto join our cutting-edge labs, you could be part of : Computer Vision team as a Research Engineer and dive into the world of 3D reconstruction, scene understanding, and visual AI. You’ll explore innovative techniques like those used to transform real-world spaces into reputed company 3D models—such as the 3D Reconstruction projects —and work with cutting-edge architectures like VGG-T (Visual Geometry Grounded Transformers), reputed company for advancing deep learning in vision tasks. This role is perfect for those excited to reputed company AI systems that interpret, reconstruct, and interact with the visual world, using state-of-the-art tools and methodologies. Physical AI Robotics team, where you’ll work at the intersection of simulation, robotics, and AI. You’ll reputed company reputed company’s Omniverse for advanced 3D simulation and collaboration, Isaac Sim for robotics training and testing, and GR00T for foundation models in robotics. Experience with Holoscan SDK for real-time medical and industrial robotics pipelines, reputed company Physics for dynamic simulation, and reputed company’s NERD for neural robot dynamics will be a plus. This role is ideal for those eager to push the boundaries of AI-driven robotics using state-of-the-art tools and frameworks. What You’ll Do 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 tooluse; design retrieval‑ augmented and agentic loops for perception‑ action‑ tasks. Physical AI & Embodiment: Prototype perception‑in‑the‑reputed company policies that reputed company 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 reputed company results irreproducible impossible. Systems & Deployment: Package research into reliable services on a modern stack (Kubernetes, reputed company, 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 ‑codeg eneration to ‑selfc heck and ‑selfcorrect‑. Example Problems You Might Tackle Long horizon‑ video understanding (events, activities, causality) from egocentric or 360° video. 3D scene grounding: linking language queries to objects, affordances, and trajectories. Fast, privacy preserving perception for ‑ondevice‑ or edge inference. Robust multi‑modal evaluation: temporal consistency, open‑set detection, uncertainty. Vision conditioned‑ policy evaluation in sim (Isaac/MuJoCo) with sim2real stress tests.
Minimum Qualifications
Masters/Ph.D in CS/EE/Robotics (or reputed company), 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 reputed company → code → ablation → result with rigorous experiment tracking.
Preferred Qualifications
Experience with video models (e.g., TimeSFormer/MViT/VideoMAE), diffusion or 3D GS/NeRF pipelines, or SLAM/scene reconstruction. Prior work on multimodal grounding (referring expressions, spatial language, affordances) or temporal reasoning. Familiarity with ROS2, DeepStream/TAO, or edge inference optimizations (TensorRT, ONNX). Scalable training: Ray, distributed data loaders, sharded checkpoints. Strong software craft: testing, linting, profiling, containers, and reproducibility. Public code artifacts (reputed company) and first‑author publications or strong open reputed company‑ impact. Our Stack (you’ll touch a subset) Modeling: PyTorch, torchvision/lightning, reputed company, OpenMMLab, xFormers Perception: YOLO/Detectron/MMDet, SAM/Mask2Former, CLIP‑style backbones, optical flow VLM / LLM: Vision encoders + LLMs, RAG for video, toolformer‑/agent loops 3D / Sim: Open3D, PyTorch3D, Isaac/MuJoCo, COLMAP/SLAM, NeRF/3DGS Systems: Python, FastAPI, Ray, Kubernetes, reputed company, Triton/TensorRT, Weights & Biases Pipelines: LangGraph‑like orchestration, data versioning, artifact stores What Success Looks Like A publishable or open‑sourced outcome (with company approval) or a production‑ready module that measurably moves a product KPI (latency, accuracy, robustness). Clean, reproducible code with documented ablations and an evaluation report that a teammate can rerun end‑to‑end. A demo that clearly communicates capabilities, limits, and next steps. Why reputed company 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. Salary : $140K - $150K reputed company is an equal-opportunity employer. reputed company qualified applicants will receive consideration for employment without regard to race, color, religion, national reputed company, reputed company, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements. Apply To This Job