Senior Generative ML Engineer — Diffusion & Vision

applied; Sunnyvale (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Applied Intuition is seeking a senior ML engineer to advance generative modeling for Neural Simulation. You will ship diffusion and video generation models, improve realism and controllability, and augment real-world data with new scenarios for autonomous vehicle training.

The role emphasizes production-quality software, collaboration with Infra, Autonomy, and Research teams, and ownership of critical components in a fast-paced environment based in Sunnyvale, CA.

Qualifications

• 5+ years of experience in ML or computer vision systems.
• Bachelor's degree in CS, physics, robotics, or equivalent.

Responsibilities

• Develop and advance diffusion and video generation models for Neural Simulation.
• Push the性能limits of generative simulation for driving scenes with controllable generation.
• Combine generative models with neural reconstruction to improve fidelity and coverage.
• Scale training and inference of large generative models for production workloads.
• Define and build evaluation metrics, benchmarks, and validation workflows.
• Collaborate with customers and cross-functional teams to deliver end-to-end solutions.
• Own critical technical components and influence architecture decisions.

Skills

ML/ CV exp

Diffusion models

Python

PyTorch

Production-grade software

Problem solving

Education

Bachelor's degree (CS/Physics/Robotics)

Tools

CUDA

C++

Job description

Applied Intuition is seeking a senior ML engineer to advance generative modeling for Neural Simulation. You will ship diffusion and video generation models, improve realism and controllability, and augment real-world data with new scenarios for autonomous vehicle training.

The role emphasizes production-quality software, collaboration with Infra, Autonomy, and Research teams, and ownership of critical components in a fast-paced environment based in Sunnyvale, CA.