Senior Software Engineer - New AI Initiatives

Torc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. As a Senior Software Engineer on the ML Ops team, you will translate complex business problems into machine learning workflows and collaborate with various stakeholders to implement cutting-edge technology.

Responsibilities:

• 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

Requirements:

• 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 2+ years of experience
• Adventurous spirit where you can work on topics at the frontier and drive exploration
• Rigorous disposition: you will have to pass judgement on what is and what is not practical for Torc to implement at scale
• You will need to communicate your outcomes and progress to other teams so they can take your findings and reliably implement them
• You will need resilience, you must be comfortable with working on a project for a month that may not reach production