ML Engineer, II - Simulation Enablement

Torc Robotics; Ann Arbor (MI); On-site; USD 153,000 - 184,000; Full time

Benefits offered by this job

Stock options

Medical/dental/vision coverage

401K with match

Paid vacation

Holiday office closures

AD+D & Life Insurance

Job summary

Torc Robotics is hiring a Machine Learning Engineer to sit at the center of Torc Sim growth. You will ensure replay/recompute jobs run at scale, make metrics interpretable, and act as the expert on autonomy models for one or two teams.

You will report to Dataloop + Simulation and collaborate with Autonomy teams to translate feedback into concrete data pipeline and integration work, accelerating platform adoption.

Qualifications

• Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field with 4+ years of experience, or Master's with 2+ years.
• Strong Python skills and experience building or operating data pipelines at scale.
• Experience with simulation, replay, or model validation.
• Familiarity with autonomy/robotics ML models and the data they consume.
• Comfort working across cloud storage and compute.
• Excellent cross-team communication to translate between platform and embedded teams.
• A bias toward hands-on problem solving and debugging end-to-end pipelines.

Responsibilities

• Act as the embedded point of contact between Dataloop + Simulation and Autonomy teams to drive Torc Sim adoption.
• Implement end-to-end data flow: data ops → simulation env → scalable storage.
• Onboard Autonomy models to run replay/recompute workflows and evaluate metrics.
• Ensure visualization tooling adoption and propose UI/UX improvements for the backlog.
• Become domain expert on models (perception, tracking, etc.) to drive integrations.
• Debug issues spanning data ingestion, simulation execution, storage, and metrics.
• Translate feedback into concrete roadmap requirements for the platform.
• Document workflows and onboard new users to scale adoption.

Skills

Python

Data pipelines

Cross-team communication

Hands-on problem solving

Model validation

Autonomy ML models

Cloud storage/compute

Education

Bachelor's Degree in CS/Robotics/Engineering

4+ years of experience (or Master's +2)

Tools

PyArrow

Pandas

Parquet

Job description

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. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

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 outare 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'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

Hiring Range for Job Opening

US Pay Range

$153,200 - $183,800 USD