Senior, ML Engineer - Neural Rendering

Torc Robotics is a leader in autonomous driving, focused on developing software for automated trucks. The Senior ML Engineer will implement cutting-edge research in Neural Rendering and generative models to enhance the simulation of sensor data essential for safe autonomous driving.

Responsibilities:

• Implement the latest research advances in Neural Rendering and generative models
• Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations
• Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training
• Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks
• Own development projects in the team – From research, design, to implementation, testing and deployment
• Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes
• Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation
• Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed

Requirements:

• Proficiency in Python and deep learning frameworks such as PyTorch
• PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching)
• Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment
• Experience with VDI and cloud based machine learning development environments
• Expected to drive alignment across team interfaces to the rest of the organization
• Designs, maintains and owns team technical solutions and drives consensus
• Mentors and guides engineers within the group
• Experience with autonomous driving or robotics perception in production environments
• Proficiency with CUDA programming for efficient rendering of large-scale scenes
• Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals
• Experience with MLOps and infrastructure tools (Ray)
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines
• Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars