Manager, Engineering - ML Ops & Frameworks

Torc Robotics • Ann Arbor, MI

1d • Remote

About The Position

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:
The ML Ops & Frameworks team builds and maintains the tooling that enables ML/RL development at Torc. Our scope includes the scalable execution of training and validation jobs, unified evaluation of model inference and associated metrics, and the UI for reviewing and communicating model performance. We interface with the Data Ops team and the ML Development team to ensure that the models which drive our software solution are built efficiently and tested thoroughly.
Our team and company are fully remote with some local presence in Ann Arbor, Montreal, and New York. We collaborate continuously with teammates across the company to make sure that our services are designed with our customers’ needs at the heart. Our team is growing to meet the increased demands for ML/RL development here at Torc, and we need a new engineering manager to help guide us on this trajectory.
What You’ll Do:
We are seeking an experienced Engineering Manager to lead a team focused on implementing and maintaining AWS-based data management and execution solutions at petabyte scale. In this role you will be responsible for people management, work execution, and representing your team throughout the organization. You will also influence the technical roadmap that enables data-driven analytics and machine learning across the enterprise.

Requirements

• BS/MS Degree in Computer Engineering, Computer Science, or related field
• 2+ years' experience managing engineering teams
• 4+ years of experience building and maintaining workloads in public cloud environments
• Knowledge of different database architectures, including but not limited to relational and NoSQL databases, data warehousing and clustered, distributed data stores
• Implementation of workflow patterns using directed acyclic graphs (e. g., Apache Airflow, Temporal, AWS Step Functions)
• A commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code
• Practical experience with Python libraries for applied data science (Pandas, Plotly, Matplotlib, Dask, TensorFlow)

Nice To Haves

• Strong organizational, time management, and communication skills working with a team orientation and collaborative style
• Deep knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena)
• Experience with data storage and acquisition patterns for robotics and advanced driver assistance systems

Responsibilities

• Sets and facilitates processes for the delivery of scalable, high-quality software and services.
• Establishes plans and ensures team delivery toward milestones.
• Effectively collaborates with others in the organization to improve the team’s service offerings.
• Sets operational standards and owns performance against those standards; ensures standards are aligned with other teams in the division.
• Owns performance management, career development, and coaching of the team.
• Recruit's high-quality technical candidates to fill open headcount.
• Establishes and maintains a culture of respect, productivity, collaboration, and positivity.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 501-1,000 employees