Compensation Overview

Meet the team: 

In the Training and Metrics group our core obligation is to develop and own the production-grade automated processes of the perception data loop. Starting with data selection, following training, evaluation and deployment, in the end, our machine learning models make our trucks perceive the world! We enable automated, data driven iteration cycles on the perception machine learning stack. To be successful, we collaborate with different perception teams, as well as Data Science and ML Ops teams across the company. 

What you’ll do:

• Implement and integrate the production grade deep learning trainings, evaluation and model conversion of the perception machine learning stack (pytorch, AWS, Kubernetes) 
• Accelerate the optimization of the perception training / evaluation / conversion pipelines regarding runtime, memory consumption and network usage 
• Integrate training monitoring tools and ensure compatibility of training results and training data with other internal services 
• Supervise the unification process of common platform, developer and pipeline tooling such as data loading, model conversion for embedded hardware and evaluation processes and common data formats 
• Coordinate and negotiate the development of shared, modular neural network architectures between multiple perception teams   

What you’ll need to succeed:

• Master’s degree in computer science, data science, artificial intelligence or related field 
• Knowledge and application experience of deploying Software Engineering best practices like coding standards, formatting and test-driven development 
• 2+ years of relevant professional experience in the field of MLOps
• 2+ years of experience with python and PyTorch in a distributed / multi-GPU setting, ideally on AWS 
• Experience in working within ML automation, data loop and deploying continuous trainings 
• Excellent coordination and ability to communicate highly technical topics  

Bonus points!

• Kubernetes, Slurm 
• Docker / Jenkins 
• AWS Sagemaker, Batch 
• Unit testing of neural network (components) 
• PhD in computer science, data science, artificial intelligence or related field 

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) 
• Company-wide holiday office closures 
• AD+D and Life Insurance