Origin

AI-powered robot automating interior finishing trades

Lead AI Engineer

Computer VisionConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

At least 8 years of deep-learning research and development experience, or a Ph.D. or M.S. in Computer Science, Electrical Engineering, Robotics, or a related field, with a strong publication record.
Demonstrated expertise in diffusion models, including DDPM, LDM, and ControlNet, and multimodal transformers or vision-language models, including CLIP, BLIP-2, LLaVA, and Flamingo.
Proven success building large-scale data-centric AI workflows using active learning, pseudo-labeling, and weak supervision.
Advanced proficiency in Python, PyTorch or JAX, experiment tracking, and scalable training tools such as PyTorch Lightning, DeepSpeed, and Ray.
Familiarity with edge AI runtimes such as TensorRT and ONNX Runtime, and CUDA or C++ performance tuning.
Strong mathematical foundation in probability, information theory, and optimization, and ability to translate theory into production code.

Responsibilities

Research and innovate diffusion-based generative models for photorealistic wall-surface simulation, defect synthesis, and domain adaptation.
Architect and train vision-language models and vision-language-action model objectives that connect textual work orders, CAD plans, and sensor data to pixel-level understanding.
Lead development of auto-annotation pipelines using active learning, self-training, and synthetic data to scale to millions of frames and point clouds with minimal human effort.
Optimize and compress models using INT8, LoRA, and distillation for deployment on Jetson-class edge devices under ROS 2.
Own the full lifecycle, including problem definition, literature review, prototyping, offline and online evaluation, and production hand-off to perception and controls teams.
Publish internal technical reports and external conference papers, and mentor interns and junior engineers.

Desired Qualifications

Experience with synthetic data generation in Isaac Sim or robotics perception stacks such as ROS 2, Nav2, MoveIt 2, and Open3D.

Lead AI Engineer

Origin · Bengaluru, India · Full-time · Posted 2026-10-30

Workplace: on_site

Department: Computer Visions & AI

Description

About Origin

Origin (previously 10xConstruction) is building general-purpose autonomous robots for US construction to tackle rising costs, safety risks, and labor shortages. Our modular, multi-trade platform combines purpose-built hardware with real-time site intelligence to navigate complex environments and execute tasks with precision. Trained in high-fidelity simulation and already deployed on live sites, our robots deliver 5x faster execution, 250%+ margin expansion, and significant cost savings. Join India’s most talent-dense robotics team consisting of individuals from IITs, Stanford, UCLA, etc.

About the Role

As a core member of the AI Research team you'll turn cutting-edge, vision-language and diffusion advances into robust real-time systems that see reason and act on dynamic construction sites.

Key Responsibilities

Research & innovate diffusion-based generative models for photorealistic wall-surface simulation, defect synthesis and domain adaptation.
Architect and train Vision-Language Models (VLMs) and Vision-Language Action Models (VLA) objectives that connect textual work orders, CAD plans and sensor data to pixel-level understanding.
Lead development of auto-annotation pipelines (active learning, self-training, synthetic data) that scale to millions of frames and point-clouds with minimal human effort.
Optimize and compress models (INT8, LoRA, distillation) for deployment on Jetson-class edge devices under ROS 2.
Own the full lifecycle—problem definition, literature review, prototyping, offline/online evaluation and production hand-off to perception & controls teams.
Publish internal tech reports and external conference papers; mentor interns and junior engineers.

Qualifications & Skills

8+ years in deep-learning R&D or Ph.D./M.S. in CS, EE, Robotics or related field with strong publication record.
Demonstrated expertise in diffusion models (DDPM, LDM, ControlNet) and multimodal transformers / VLMs (CLIP, BLIP-2, LLaVA, Flamingo).
Proven success building large-scale data-centric AI workflows—active learning, pseudo-labeling, weak supervision.
Advanced proficiency in Python, PyTorch (or JAX), experiment tracking and scalable training (PyTorch Lightning, DeepSpeed, Ray).
Familiarity with edge-AI runtimes (TensorRT, ONNX Runtime), and CUDA / C++ performance tuning.
Strong mathematical foundation (probability, information theory, optimization) and ability to translate theory into production code.
Bonus: experience with synthetic data generation in Isaac Sim or robotics perception stacks (ROS2, Nav2, MoveIt 2, Open3D).

Apply

Apply at Origin

About the Company

Origin

AI-powered robot automating interior finishing trades

Origin builds a general-purpose construction robot designed to automate interior finishing tasks like drywall finishing and painting on real job sites. The AI-powered system can operate power tools and work alongside human crews across multiple trades, and it is already deployed on live job sites in New York City through partnerships with major contractors. It differs by using a single flexible platform for multiple finishing trades and by already being tested and deployed with industry partners to scale collaborative automation. Its goal is to enable scalable, high-quality, and cost-efficient construction by augmenting or replacing manual interior finishing work with intelligent robotics.

Company size: Not listed
Company stage: Early VC
Total funding: $20M
Headquarters: Not listed
Founded: 2025

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