The Job You will manage a team of Machine Learning Engineers, working across disciplines to develop transformative technologies for robotics systems (such as designing state-of-the-art machine learning models, architecting scalable infrastructure, and optimizing high-performance pipelines). This team will build data processing and machine learning tools and platforms that cross-functionally serve our Research Projects; they also directly support some of these Research Projects. Successful individuals on our team tend to operate with autonomy and alacrity, with strong customer/stakeholder empathy, and an ability to drive outcomes across the Machine Learning Platform. As part of our unique research environment, you will be expected to thrive in situations of ambiguity, adapt quickly to changing priorities, and embrace the challenges that come with exploring uncharted territories.
What you will do
Provide both technical leadership and effective people management to manage a team of engineers responsible for building tools and platforms that serve our internal customers and enable them to accelerate research progress
Attract, recruit, hire, and develop a high-performing team
Drive technical excellence, operational maturity, and code quality within your team
Lead the development and execution of a roadmap by working cross-functionally with stakeholders from other Engineering and Research Project teams
Provide leadership to the team, fostering a culture of collaboration, innovation, and continuous improvement
Collaborate with the other Engineering teams in Software, Hardware, Dev & MLOps and Test Operations to deliver on cross-functional features and capabilities
Get your hands dirty, and build things with us
What you will need
3+ years of experience in managing high-performing software teams, demonstrating proficiency in both people and technical management
Ph.D. or equivalent in Computer Science or related field AND 3+ years of full-time Machine Learning Engineering work experience OR;
5 years of full-time Software Engineering work experience, including 3+ years working with machine learning and data applications
Excellent interpersonal and communication skills, with the ability to collaborate with diverse stakeholders
Strong analytical and problem-solving abilities, with a focus on data-driven decision-making
4+ years of industry or academic experience developing production quality Python software
