United States onlyAbout the Company
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.
- 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.
What you’ll need to Succeed:
- 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)
Bonus Points!
- 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
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, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
JobID: R-102415
CA and US only
