Machine Learning Engineer - New AI Initiatives

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 New AI Initiatives team, you will translate ambiguous and complex business problems into machine learning workflow including exploratory data analysis, deep learning model development, and embedded deployment. Experience developing and testing machine learning or statistical projects, with strong background in supervised, unsupervised, semi-supervised and reinforcement learning algorithms and modelling.

What You’ll Do 

• 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

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 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.

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) 

• AD+D and Life Insurance 

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age