Senior, ML Engineer - ML Ops Framework

Torcrobotics; Michigan; On-site; USD 199,200 - 298,800; Full time

Benefits offered by this job

Competitive compensation package

100% paid medical, dental, and vision premiums

401K plan with 6% employer match

Flexible schedule

Generous paid vacation

Job summary

Torcrobotics in Michigan is looking for a Senior Machine Learning Engineer to enhance their ML frameworks and drive autonomous vehicle solutions. You will build and maintain cloud tooling, develop pipelines, and ensure the incorporation of the latest ML practices.

Candidates should have a bachelor’s or master’s degree in Computer Science with several years of industry experience, particularly in autonomous vehicles. The role offers competitive compensation and comprehensive benefits, including full health care coverage and a 401K plan.

Qualifications

• 6+ years of experience in ML or related field.
• Proficient in large-scale distributed ML development.
• Experience in autonomous vehicle industry preferred.
• Familiarity with ML systems and data platforms.

Responsibilities

• Build and improve Torc ML frameworks.
• Develop cloud tooling and data ops.
• Enhance ML development pipeline.
• Collaborate with stakeholders in the AI Division.

Skills

Machine Learning

Distributed Training

Python

Ray

Open-source contributions

Data Science Lifecycle

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

AWS

Terraform

PyTorch

Tableau

Job description

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

Our team is tasked with enabling ML developers across Torc to build the most advanced autonomous vehicle solutions at scale. We are the team responsible for enabling the full ML experimentation process, from ideation to training and validation, to comparison between models on the same lineage to conversion of an optimal model to a viable truck format. We are an AWS shop, using Lightning & Ray for our distributed ML work, and we hope you are a senior ML engineer who can help us drive the future of autonomous freight.

What You'll Do

You will work to build, maintain and improve our Torc ML frameworks including the following tools:

• Cloud tooling
  • Terraform, AWS Managed Services, EKS, Ray
• Data ops
  • Parquet processing (PyArrow, Daft, Pandas), vector databases / LanceDB, MCAP/ROS
• ML Development pipeline
  • Python, Ray, PyTorch, Lightning, Gymnasium
• Logging & aggregation, Experiment tracking, Model registry & lineage
  • Visualization & dashboarding (e.g., tableau, voxel51, rerun)
• Design organization wide systems and platforms for ML Ops.
• Be a key driver of the technical requirements and the adoption of the AV 3.0 Dev Kit with internal stakeholders.
• Drive velocity in development, review, iteration, and be one of the key contributors to help drive the team forward.
• You will be a trusted technical voice to drive collaboration of the Data Loop & Simulation organization within the AI Division at Torc.

What You'll Need to Succeed

• Bachelor’s degree in Computer Science, Software Engineering, or related field with 6+ years of professional experience
• Master’s degree in Computer Science, Software Engineering, or related field with 3+ years of professional experience
• Experience with large scale distributed training, specifically working with Ray.
  • You are well versed in open-source software and make contributions.
• You have built ML solutions that have reached production
  • You feel comfortable with the data science and ML iteration/lifecycle.
  • You can balance multiple stakeholders when designing components of the ML development lifecycle.
  • Ideal: You are familiar with model optimizations/compression for edge deployment.
• You have familiarity with compute and data platforms
  • You understand how to build ML systems that scale.
  • You have experience making tradeoffs for speed of development.
• You want to build, maintain, grow, and improve our ML platform
  • You know that a healthy software deployment requires mature software practices
  • Ideal: You love to speak with users and help them reach their goals
• Experience in the autonomous vehicle (L4) or adjacent industry.

Bonus Points

• Reinforcement Learning for physical AI
• Publications in relevant conferences (NeurIPS, ICML, CVPR, ICLR, etc.)
• Contribute to open source software and speaking at seminars or conferences.

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)
• 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.

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. Depending 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.

Hiring Range for Job Opening

US Pay Range

$199,200- $298,800

Job ID: 102397