Software Engineering Manager leading a small team at a Fintech startup optimizing the lending process in Canada. Responsibilities include technical leadership, team management, and product execution.
About the role
- Engineering Manager leading technical teams developing machine learning pipelines at Woven by Toyota. Focusing on autonomous vehicle behavior and safety systems.
Responsibilities
- Define the team’s short‑term and long‑term technical direction while collaborating on broader cross‑functional strategic initiatives.
- Initiate and influence cross‑functional teams toward common development goals to drive innovation
- Enable and support your team to be more effective through coaching, leading by example, providing high‑quality code and design‑document reviews, and delivering rigorous reports.
- Collaborate with team members to design, develop, deploy, and evaluate state‑of‑the‑art pipelines and processes for ML model development, testing, and deployment.
- Lead the execution of projects by defining efficient engineering processes, mitigating technical risks, and advocating for architectural improvements that enhance system reliability and scalability.
- Increase speed of the component- and system-level model iteration while maintaining cost efficiency.
- Drive organizational metrics towards performance, safety, and quality.
- Design reusable software components as part of an integrated system.
- Understand and champion software practices that produce maintainable code, including continuous integration, code review, etc.
- Work in a globally distributed department (US, Japan, London)
- Work in a hybrid workspace, with the requirement to be present in our Palo Alto office three days a week.
Requirements
- BSc / BEng (MS / PhD nice-to-have) in Machine Learning, Computer Science, Robotics or related quantitative fields, or equivalent industry experience.
- 3+ years of experience managing engineering teams, with a focus on technical leadership, team development, and delivering high-impact projects in the automotive industry.
- Experience with Python, PyTorch/Tensorflow, and software engineering best practices.
- Experience in the full MLOps cycle covering data cleansing, data sampling, data curation, pre-processing, training, testing, evaluation, deployment, inference optimization and deployment in the cloud and on edge compute platforms.
- Deep understanding of runtime complexity, space complexity, distributed computing, and the application of these concepts in concrete, distributed ML training and evaluation.
- Experience working with temporal data and/or sequential modeling.
- Strong communication skills with the ability to communicate concepts clearly and precisely.
- Ability to write code in C++ and python.
- Ability to lead within a globally distributed department
- Excellent communication, skilled collaboration, and principled interactions.
- Passionate about self-driving car technology and its potential for humanity.
Benefits
- Excellent health, wellness, dental and vision coverage
- A rewarding 401k program
- Flexible vacation policy
- Family planning and care benefits
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