Torc Robotics
Machine Learning Engineer - New AI Initiatives
About this 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 team, you will translate ambiguous and complex business problems into machine learning workflows including exploratory data analysis, deep learning model development, batch inference, metric computation, and embedded deployment. Our team is comprised of outstanding engineers with various backgrounds including start up tech sector, physical AI, consumer package goods, Fortune 500 SaaS companies. The New AI Initiatives, is a role which frequently bounces between topics to both pursue cutting edge technology and see their implementation through to production. As a New Initiatives engineer, you will regularly be working with numerous stakeholders and different teams to ensure Torc embraces state of the art technology.
What You’ll Do
- You will play a key role building the foundation of Torc's AI development tooling.
- Independently develop data science models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, enforcing version control, and maintaining documentation of created applications.
- Operate with Data Ops to define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.
- Organize and lead projects, serving as project lead guiding less experienced team members in multiple facets of project execution
- Empower users with key insights, supporting visualization and data accessibility in a customer centric manner.
- Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.
- Communicate and collaborate within the team and participate with the team’s interfaces to the rest of 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 4+ years of experience or;
- Master’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.