ML Engineer, II – Simulation Enablement

Torc Robotics

ML Engineer scaling Torc Robotics’ simulation platform for autonomous trucks. Embedding with Autonomy teams to operationalize replay, recompute, metrics, visualization, and model integrations.

Posted 8/7/2026full-timeRemote • Missouri • 🇺🇸 United StatesJuniorMid-Level💰 $153,200 - $183,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python programming and data pipeline development, with a strong focus on simulation and model validation in autonomy and robotics. Capable of effective cross-team communication and problem-solving to drive the adoption of advanced data operations and visualization tools.

Highest-signal resume keywords

Python ProgrammingData Pipeline DevelopmentSimulation and Model ValidationCross-Team CommunicationProblem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentPython ProgrammingSimulationModel ValidationData IngestionMetric EvaluationUI/UX ImprovementsWorkflow DocumentationCloud StorageCloud Compute

Soft Skills

Cross-Team CommunicationHands-On Problem-Solving

Tools & Technologies

FoxgloveOpenGLThree.jsMCAPParquetPyArrowDaftPandasRayAWS HyperPods

Industry Keywords

AutonomyRoboticsEmbedded SystemsData OperationsSimulation Environment

Tech Stack

Tools & technologies

AWSCloudJavaScriptPandasPythonRayTerraform

About the role

Key responsibilities & impact

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 from the data operations platform through the simulation environment to persistent storage at scale
Onboard Autonomy models to execute replay/recompute workflows at scale and perform subsequent metric evaluation
Ensure adoption of visualization tooling and provide UI/UX improvements for the development backlog
Become a domain expert on partner-team models and own their integrations
Debug issues across data ingestion, simulation execution, storage, and metrics, driving them to resolution
Translate feedback from Autonomy engineers into concrete requirements for the Dataloop + Simulation product roadmap
Document workflows and onboard new users so adoption scales beyond hands-on support

Requirements

What you’ll need

Bachelor's Degree in Computer Science, Robotics, Electrical Engineering, or a related technical field plus competencies typically acquired through 4+ years of experience, OR Master's Degree plus 2+ years of experience
Strong Python skills
Experience building or operating data pipelines at scale
Experience with simulation, replay, or model validation
Familiarity with autonomy or robotics ML models and their data
Comfort working across cloud storage and compute
Strong cross-team communication skills
Hands-on problem-solving ability
Bonus: prior forward-deployed engineer, solutions engineer, or embedded platform experience
Bonus: experience with Camera, Lidar, Vehicle Intent, or Object Tracking models
Bonus: experience with autonomous-vehicle or robotics simulation/replay frameworks
Bonus: familiarity with Foxglove, OpenGL, or Three.js
Bonus: experience with MCAP, Parquet, PyArrow, Daft, or Pandas
Bonus: experience with Ray, Anyscale, or AWS HyperPods
Bonus: Terraform and GitHub Actions experience

Benefits

Comp & perks

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
Generous paid vacation available immediately after start date
Company-wide holiday office closures
AD+D and Life Insurance
Potential sign-on payments, relocation, and other forms of compensation as part of the total compensation package
Medical, financial, and/or other benefits