Senior Machine Learning Engineer - Generative Models
$60k - $300k • Sunnyvale • FullTime
Posted 9h ago
Job Location
Sunnyvale
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
Applied Intuition is seeking a Senior Machine Learning Engineer to advance the generative modeling technology behind their Neural Simulation product. This role involves pushing the boundaries of diffusion and video generation models to create realistic, controllable simulation environments for training and validating autonomous vehicle systems. The ideal candidate will thrive at the intersection of generative modeling, computer vision, and machine learning, bringing cutting-edge research into production to solve complex simulation challenges in Physical AI. This position will directly influence the development of next-generation data-driven autonomous vehicles for leading automotive OEMs.
Responsibilities
- Develop and advance diffusion and video generation models for the Neural Simulation product, integrating the latest research into production.
- Enhance generative simulation for driving scenes, focusing on controllable generation, temporally consistent multi-camera video, and augmenting real-world data.
- Combine generative models with neural reconstruction pipelines to improve simulation fidelity and coverage.
- Scale training and inference of large generative models for production workloads.
- Define and build evaluation metrics, benchmarks, and validation workflows for generative models.
- Collaborate with customers to understand needs and implement solutions within the Neural Simulation product.
- Work closely 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.
Requirements
- 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).
- Solid foundation in generative modeling and deep learning, including training and fine-tuning large models.
- Proficiency in Python and PyTorch.
- Proven ability to translate research ideas into robust, production-quality software.
- Strong problem-solving skills and comfort with ambiguity.