ML Engineer, II - Perception

ML Engineer, II - Perception

What You'll Do

• Act as the embedded point of contact between Dataloop + Simulation and one to two Autonomy teams, driving hands-on adoption of Torc Sim
• Implement the end-to-end data flow: data ops platform → simulation environment → persistent storage running at scale
• Onboard Autonomy models to execute replay/recompute workflows at scale, as well as the subsequent metric evaluation
• Ensure adoption of the visualization tooling and bring back UI/UX improvements for our development backlog
• Become a domain expert on the model(s) your partner team owns (e.g., Camera, Lidar, Vehicle Intent, Object Tracking) so you can implement and own integrations
• Debug issues that span the full stack, from data ingestion, through simulation execution, to storage and metrics — and drive them to resolution
• Translate on-the-ground feedback from Autonomy engineers into concrete requirements for the Dataloop + Simulation product roadmap
• Document workflows and onboard new users so adoption scales beyond your own hands-on support

What You'll Need to Succeed

• Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or a related technical field plus demonstrated competencies typically acquired through 4+ years of experience, OR Master's Degree plus 2+ years of experience
• Strong Python skills and experience building or operating data pipelines at scale
• Experience working with simulation, replay, or model validation
• Familiarity with autonomy or robotics ML models (perception, tracking, prediction, or planning) and the data they consume
• Comfort working across cloud storage and compute
• Strong cross-team communication skills — you'll be translating between a platform team and one or two embedded Autonomy teams on a daily basis
• A bias toward hands-on problem solving: you're as comfortable debugging a broken data pipeline as you are explaining a metric discrepancy to a model owner

Bonus Points!

• Prior experience in a forward-deployed engineer, solutions engineer, or embedded platform role
• Hands-on experience with Camera, Lidar, Vehicle Intent, or Object Tracking models specifically
• Experience with simulation or replay frameworks for autonomous vehicles or robotics
• Familiarity with visualization tooling such as Foxglove, OpenGL, or Three.js
• Experience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas)
• Experience with distributed compute/orchestration frameworks (Ray, Anyscale, AWS HyperPods)
• Infrastructure-as-code experience (Terraform) and CI systems (GitHub Actions)

Work Location: For this position, we are hiring Remote in the United States and Canada.

Perks 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)
• Company-wide holiday office closures
• 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.

Job ID: R-102870

US Pay Range

$153,200 - $183,800 USD