Senior, ML Engineer - ML Ops Framework

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.

: You are familiar with model optimizations/compression for edge deployment.

You have familiarity with compute and data platforms

$199,200 - $298,800

Job ID: 102397

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

Terraform, AWS Managed Services, EKS, Ray

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

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.

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.