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Senior Machine Learning Engineer - Generative Models

appliedSunnyvaleDana for Physical AI
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Salary
$185K – $260K
Job type
Full-time
Experience
Senior · 5+ yrs
Posted
6 Oct 2026
Status
Open · checked 7d ago

About this role

Based in Sunnyvale, the Senior Machine Learning Engineer position at applied focuses on advancing generative modeling technology for the Neural Simulation product. This full-time role is suited for experienced professionals with a strong background in machine learning and computer vision who want to build physical AI infrastructure in an office environment.

Role Overview

The Senior Machine Learning Engineer - Generative Models role involves building and scaling diffusion and video generation models to convert real-world driving data into photorealistic simulation environments. The engineer will work on transforming research concepts into production systems, helping automotive and autonomy customers train and validate their autonomous vehicles.

Key Responsibilities

Build and advance diffusion and video generation models to enhance realism, controllability, and scalability within the Neural Simulation product.
Drive generative simulation for driving scenes, covering controllable generation based on layouts and trajectories, multi-camera video generation, and scenario augmentation.
Merge generative models with neural reconstruction pipelines to increase simulation fidelity.
Scale training and inference operations for production generative models.
Establish evaluation metrics, benchmarks, and validation workflows to measure temporal consistency and the sim-to-real gap.
Collaborate with customers, infrastructure, autonomy, and research teams to deliver comprehensive technical solutions.

Requirements

Minimum of 5 years of experience in developing and shipping machine learning or computer vision systems.
At least a Bachelor's degree in physics, computer science, robotics, or a related discipline.
Hands-on proficiency with video generation and diffusion models, such as diffusion transformers and latent video diffusion models.
Solid foundation in deep learning and generative modeling, including fine-tuning and training large models.
Strong coding skills in Python and PyTorch.
Demonstrated ability to translate research ideas into reliable, production-ready software.

Nice to Have

Background in learning-based 3D reconstruction like 3D Gaussian Splatting, NeRFs, or feed-forward Gaussian Splatting.
Experience in computer vision fields such as SLAM, SfM, or photogrammetry, or computer graphics fields like ray tracing and rendering.
History of releasing machine learning products equipped with formal benchmarks and evaluation metrics.
Experience working in robotics or autonomous driving with multi-sensor data including radar, LiDAR, and camera.
Familiarity with multi-view consistent generation, 3D-aware generation, or world models.
Experience optimizing large-scale distributed training and inference via efficient sampling or distillation.
Development experience utilizing C++ or CUDA.
Author of peer-reviewed research papers at conferences such as NeurIPS, CVPR, ICCV/ECCV, ICLR, ICML, or SIGGRAPH.
Advanced degree, such as a Master's degree or PhD, in computer science, robotics, physics, or related areas.

Skills and Tools

Python
PyTorch
C++
CUDA
Diffusion Models
Video Generation
Neural Simulation
3D Gaussian Splatting
NeRFs

Salary and Benefits

Salary range: $185K to $260K

About the Company

Applied Intuition, Inc. was founded in 2017 and is headquartered in Sunnyvale, California, with numerous international and domestic offices. The company builds digital infrastructure for physical AI, serving industries such as automotive, defense, trucking, construction, mining, and agriculture.

How to Apply

Candidates should apply directly on the official company careers page.

Skills and tech stack

PythonPyTorchC++CUDADiffusion ModelsVideo Generation3D Gaussian SplattingNeRFsComputer VisionTransformersDeep LearningMachine LearningDiffusionFine-tuning

Questions candidates ask

What is the location requirement for this role?

The position is based in Sunnyvale. Applied Intuition is an in-office company, and full-time employees are expected to work from their office 5 days a week, though flexible scheduling is supported.

What is the salary range for the Senior Machine Learning Engineer position?

The salary range is $185K to $260K.

What are the minimum educational requirements?

A minimum of a Bachelor's degree in computer science, physics, robotics, or an equivalent field is required.

How many years of experience are needed?

Applicants must have 5 or more years of experience developing and shipping machine learning or computer vision systems.

What core technologies and frameworks will I use?

The role involves working with Python, PyTorch, diffusion models, video generation architectures, and neural simulation pipelines.

Ready to apply?

The application is on the official applied careers page.

Apply on company site