Senior ML Engineer: Generative Diffusion for Simulation

Front Door Defense; Sunnyvale, Northern (CA, KY); Hybrid; USD 185,000 - 260,000; Full time

Job summary

Applied Intuition, Inc. in Sunnyvale, California, is seeking a Senior Machine Learning Engineer to advance diffusion and video generation for Neural Simulation.

You will push state‑of‑the‑art generative modeling into production, creating realistic sensor data and controllable scenes for autonomous vehicle training and validation. You will collaborate with cross‑functional teams, implement robust production‑quality software, and contribute to evaluation metrics and benchmarks.

Qualifications

• 5+ years of experience developing and shipping ML or computer vision systems.
• Bachelor's degree in computer science, physics, robotics, or equivalent.
• Strong hands‑on experience with diffusion models and video generation (e.g., latent and video diffusion models, diffusion transformers).
• Proficiency in Python and PyTorch
• A proven ability to turn research ideas into robust, production‑quality software.

Responsibilities

• Develop and advance diffusion and video generation models that power Neural Simulation, bringing the latest research into production to improve realism, controllability, and scalability.
• Push the limits of generative simulation for driving scenes with controllable generation conditioned on scene layout, camera pose, actors, and trajectories; ensure temporal consistency across multi‑camera video.
• Combine generative models with our neural reconstruction pipeline to improve fidelity and coverage of simulated scenes.
• Scale training and inference of large generative models for production workloads.
• Define and build evaluation metrics, benchmarks, and validation workflows that measure realism, temporal consistency, controllability, and sim‑to‑real gap.
• Work closely with customers to understand pain points and implement technical solutions in Neural Simulation product.
• Collaborate with Infra, Autonomy, Research and other product teams to deliver end‑to‑end solutions.
• Take ownership of critical technical components and influence architecture and product decisions.

Skills

ML/Computer Vision

Python

PyTorch

Diffusion models

Video generation

Production‑quality software

Problem solving

Education

Bachelor's degree in CS/Physics/Robotics

Master's degree or PhD

Tools

CUDA

C++

Job description

Applied Intuition, Inc. in Sunnyvale, California, is seeking a Senior Machine Learning Engineer to advance diffusion and video generation for Neural Simulation.

You will push state‑of‑the‑art generative modeling into production, creating realistic sensor data and controllable scenes for autonomous vehicle training and validation. You will collaborate with cross‑functional teams, implement robust production‑quality software, and contribute to evaluation metrics and benchmarks.