Senior, ML Engineer - ML Ops Framework

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

, tableau, voxel51, rerun) Design organization wide systems and platforms for ML Ops.

Requirements

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 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 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!

) Contribute to open source software and speaking at seminars or conferences. Knowledge of English is required since the selected candidate will need to collaborate daily with English-speaking colleagues in the United States and work with technical documentation written exclusively in English.

Perks

of Being a Full-time Torc’r (Canada) 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.