AI Research Engineer

Ovii's Interpretation of the Role

The AI Research Engineer will design and deploy diffusion‑based generative models and vision‑language systems for autonomous construction robots, turning cutting‑edge research into production‑ready AI pipelines.

Role Snapshot

• AI research engineer
• Vision‑language model development
• Diffusion model innovation
• Edge AI model optimization
• Mentor interns & junior engineers
• Full‑lifecycle AI product ownership

Must-Have Requirements

• deep learning research
• diffusion models
• multimodal transformers / vision‑language models
• Python
• PyTorch or JAX
• experiment tracking and scalable training frameworks
• strong mathematical foundation
• diffusion model development
• multimodal transformer work
• Ph.D. or M.S. in Computer Science, Electrical Engineering, Robotics or related field

Nice-to-Have Signals

• edge AI runtimes (TensorRT, ONNX Runtime)
• CUDA / C++ performance tuning
• synthetic data generation in Isaac Sim
• robotics perception stacks (ROS2, Nav2, MoveIt2, Open3D)
• synthetic data generation
• robotics perception stack experience

Work Setup

• Location: Bengaluru, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement details
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Research and innovate diffusion‑based generative models for photorealistic simulation and domain adaptation
• Architect and train Vision‑Language Models and Vision‑Language Action Models that link work orders, CAD plans and sensor data to pixel‑level understanding
• Lead auto‑annotation pipelines (active learning, self‑training, synthetic data) that scale to millions of frames and point‑clouds
• Optimize and compress models (INT8, LoRA, distillation) for deployment on Jetson‑class edge devices under ROS 2
• Own the full AI lifecycle—from problem definition and literature review through prototyping, evaluation and production hand‑off to perception & controls teams
• Publish internal technical reports and external conference papers; mentor interns and junior engineers

Good Fit If You Have

• Strong publication record in AI/ML research
• Experience building large‑scale data‑centric AI pipelines
• Familiarity with robotics simulation environments (e.g., Isaac Sim) is a plus
• Ability to translate theoretical advances into production code