Senior ML Engineer – Neural Rendering

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About the role

  • Senior ML Engineer focusing on Neural Rendering and data generation for autonomous vehicles. Working on innovative solutions in a Cloud ML environment with a forward-looking team at Torc Robotics.

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.

Benefits

  • 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

Job type

Full Time

Experience level

Senior

Salary

$160,800 - $212,300 per year

Degree requirement

Postgraduate Degree

Tech skills

CloudPythonPyTorch

Location requirements

RemoteCanada

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