Jumıs
Partner feedinen
ML Engineer, II – Perception
Soraw boyınsha baha
Толық мәлімет
- Жумыс түри
- Толық күнлик
- Remote
- Ия
- Компания
- Torc Robotics
Sıpatlama
About 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.
Source: Jobspresso (https://jobspresso.co/job/ml-engineer-ii-perception/)
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.
Source: Jobspresso (https://jobspresso.co/job/ml-engineer-ii-perception/)
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Tiykar: Torc Robotics
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