Senior, ML Engineer- Neural Rendering

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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.

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

A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
AD+D and Life Insurance

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