Torc Robotics
ML Engineer, I - MLOps Framework
Remote role where the employee must remain based in a particular country.
United States only
From the listing details: Residency required in United States
Employer listed it 4 weeks ago · Added 5 weeks ago
Listed for 27 days before it closed.
This job has closed
Torc Robotics has taken this listing down, so it is no longer accepting applications. The details below are kept for reference only.
Browse open rolesSalary
$132,400 to $158,900
Location
United States only
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
Stated by the employer in the job description
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
- Location eligibility not confirmed
- Contract
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.
- Experience asked for
Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience
- Pay
Our compensation reflects the cost of labor across several geographic markets.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Remote - US"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Questions worth asking: Nomaders interpretation
- The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
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. 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
As a Machine Learning Engineer on the ML Ops Framework & Conversion team, you will support the day-to-day operations that keep Torc's model development ecosystem running smoothly. Our team is comprised of engineers with deep expertise in ML and RL frameworks, embedded systems, and autonomous driving — united by a focus on getting models from development into the real world reliably and at scale. In this role, you will provide general MLOps support to model development teams, helping triage issues, maintain pipelines, and ensure engineers have what they need to move fast. You'll gain broad exposure across the ML stack and grow alongside a team working on some of the most complex model infrastructure in autonomous trucking.
What You’ll Do
Provide on-call MLOps support for model development teams, triaging and resolving pipeline issues as they arise.
Assist in debugging model development workflows and identifying root causes across the ML stack.
Collaborate with senior engineers to improve tooling, documentation, and operational processes.
Communicate and collaborate with model development teams and broader stakeholders, ensuring issues are resolved quickly and findings are shared across the organization.
What You’ll Need to Succeed
Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience
Proficiency in Python, with foundational experience in ML frameworks such as PyTorch and familiarity with model training pipelines.
Experience with MLOps tooling — CI/CD systems, monitoring, logging, and pipeline orchestration.
Strong debugging and problem-solving skills with an ability to triage issues under pressure.
Clear communicator who can work across teams and translate technical issues for different audiences.
Bonus Points
Experience with large sensor data formats (MCAP, Parquet) and associated processing tools (PyArrow, Daft, Pandas).
Experience with distributed compute/orchestration frameworks (Ray, Anyscale).
Infrastructure-as-code experience (Terraform).
Experience with edge deployment or embedded hardware.
Exposure to autonomous driving or robotics ML workflows.
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
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
Applying
This listing has closed, so there is no application link. The details above are kept for reference only.
Found 1mo ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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This role is closed, applications are no longer accepted.