ML Engineer, II – Perception

Bazeta; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

100% paid medical, dental, and vision

401K with 6% employer match

Flexible vacation

Holiday office closures

AD+D and Life Insurance

Job summary

Torc Robotics is hiring a Machine Learning Engineer to support the Torc Sim platform and Autonomy teams. The role focuses on end-to-end data flow, replay/recompute workflows, and visualization tooling to improve model evaluation and scalability.

You will become the domain expert on perception/behavior models, collaborating with Autonomy teams and engineering to deliver robust, scalable solutions for automated trucks in a remote-capable role across the United States and Canada.

Qualifications

• Bachelor's degree in Computer Science, Robotics, Electrical Engineering or related field; 4+ years of experience or
• Master’s Degree in related field with 0-3+ years of experience.

Responsibilities

• Act as embedded point of contact between Dataloop + Simulation and Autonomy teams to drive adoption.
• Implement end-to-end data flow: data ops to simulation to storage at scale.
• Onboard Autonomy models to execute replay/recompute workflows at scale.
• Drive adoption of visualization tooling and implement UI/UX improvements for backlog.
• Become domain expert on model areas (Camera, Lidar, Vehicle Intent, Object Tracking).
• Debug issues spanning data ingestion, simulation execution, storage and metrics, driving resolution.
• Translate feedback from Autonomy engineers into product roadmap requirements.
• Document workflows and onboard new users to scale adoption.

Skills

Python

Data pipelines

Robotics ML

Cloud computing

Cross-team communication

Hands-on problem solving

Education

Bachelor's degree in CS/Robotics/EE or related field

Master's degree in related field

Job description

# ML Engineer, II – PerceptionUnited States6 hours agoID 3716159Price on request## DetailsEmployment type: Full-timeRemote: YesCompany: Torc Robotics## DescriptionAbout the company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Meet the team Torc Sim is the simulation platform built by our Dataloop + Simulation division to help Autonomy teams replay, recompute, evaluate, and visualize their models against real and synthetic driving data at scale. It is the backbone that turns a logged drive into a repeatable, measurable experiment, and we are working to scale our impact across all our Autonomy users. We are hiring a Machine Learning Engineer to sit at the center of that growth: reporting to Dataloop + Simulation but living day-to-day with one or two Autonomy teams to drive Torc Sim adoption from the inside. You will be the person who makes sure a model team’s replay/recompute jobs run at scale, that the metrics coming out are interpretable and auditable, and that engineers can visualize what their model is doing. Along the way, you will become the resident expert on whichever model you are partnered with, whether Perception or Behavior models, so you fluently translate between simulation platform and autonomy model. What you will 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 to simulation environment to 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 (for example 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 will need to succeed Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus competences typically acquired through 4+ years of experience, OR Master’s Degree in a related field plus 0-3+ 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. A bias toward hands-on problem solving. 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 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.