Torc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. The Machine Learning Engineer will translate complex business problems into machine learning workflows, lead data science projects, and guide team members in project execution.
Responsibilities:
- Lead highly complex data science and analytics projects in support of process improvement, defect reduction, and predictive analytics for manufacturing and business applications
- Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution
- Independently develop data science models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining documentation of created applications
- Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows
- Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation
- Guide and produce information products, supporting visualization and data accessibility in a customer centric manner
- Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety
- Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes
- Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members
- Expected to communicate and collaborate within the team and participate with the team’s interfaces to the rest of the organization
- Interface with other teams and design software units for the team’s products
Requirements:
- Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ 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 3+ years of experience