Staff, ML Engineer - Scene Generation

• Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 10+ years of experience OR Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 7+ years of experience OR PhD in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 5+ years of experience.
• Proficiency in Python and deep learning frameworks such as PyTorch.
• PhD or equivalent work experience of 8+ years in a relevant field (CS, Robotics, Electrical Engineering), with industry experience shipping production software and leading technical teams.
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching).
• Experience with production data in the context of robotics and/or autonomous driving
• Background in Computer Vision, Computer Graphics, 3D Reconstruction, or 3D Computer Vision.
• Experience handling autonomous driving sensor data across multiple timestamps and sensor modalities, including cameras, LiDAR, and radar.
• Recognized as an expert in the discipline, conducting complex, high impact work under minimal supervision and with wide latitude for independent judgment.
• Experience with VDI and cloud-based machine learning development environments.
• Demonstrated experience leading a team or serving as a technical lead, setting direction and driving consensus across engineers and stakeholders.
• Track record of mentoring and developing engineers, including more senior individual contributors.
• Proven ability to design, maintain, and own team technical solutions, and to drive alignment across team interfaces to the rest of the organization.

Bonus Points!

• 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, or Graphics conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, SIGGRAPH) or journals.
• Experience with MLOps and infrastructure tools such as Ray.
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.
• Prior experience as a formal people manager or tech lead.

of Being a Full-time Torc'r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future.

Our culture is collaborative, energetic, and team focused.

Torc offers:

• 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

At Torc, we're committed to building a diverse and inclusive workplace.

We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.

Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

Our compensation reflects the cost of labor across several geographic markets.

Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.

Torc's total compensation package will also include our corporate bonus and stock option plan.

Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.