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)
Machine Learning Evaluation Specialist designing tasks for unsolved ML problems using deep domain expertise. Opportunity for graduates to contribute to challenging AI research tasks on a fully remote basis.
Machine Learning Specialist developing and deploying innovative ML/DL solutions to monitor space environment at NorthStar Earth & Space. Collaborating with a multidisciplinary team to address space traffic management challenges.
Direct hire permanent role for Material Handler or Machine Operator in Brantford, ON. Pay rate $25 - $30/hour with night premium and overtime on 12 - hour continental shifts.
Machine Learning Engineer developing AI Agents utilizing LLMs for contact centers. Collaborating with engineering teams to integrate cutting - edge AI solutions in production environments.
Senior Machine Learning Engineer developing next - gen AI systems at Cresta. Leading high - impact AI initiatives and collaborating with cross - functional teams in a remote setting.
Senior Machine Learning Engineer focused on model optimization algorithms at Red Hat. Contributing to deep learning software and collaborating with product and research teams in open - source context.
Machine Learning Engineer designing and deploying ML pipelines at a fintech platform in Canada. Collaborating with engineers to optimize models and performance while implementing MLOps best practices.
Senior ML Engineer developing and improving ML Ops frameworks for autonomous vehicle solutions at Torc Robotics. Collaborating with developers to drive future innovations in autonomous freight on a global scale.
Lead Machine Learning Engineer at Torc Robotics improving frameworks for autonomous vehicles. Join a team that develops advanced solutions in the autonomous vehicle space.
ML Engineer role at Eqvilent constructing systems for data validation and ML models. Involves data pipelines, exploratory analysis, and machine learning model evaluations.