Director, Machine Learning

You will manage a blended team of machine learning modelers, infrastructure experts, and data engineers. This team builds data and algorithm-driven platforms as well as ML-oriented features in existing platforms. The team also directly supports our focused 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 entire engineering stack from data ingestion through modeling and into deployment and maintenance.

• Provide both highly technical leadership and effective people management to manage a team of engineers responsible for going from ideation to data acquisition to modeling to deployment and maintenance, serving our internal customers
• Attract, recruit, hire, and develop a high-performing ML and Data Engineering team
• Drive technical excellence, operational maturity, and code quality within your team
• Drive and influence strategy, roadmap creation and execution for the ML and Data Engineering teams by working cross-functionally with stakeholders from other Engineering and Research Project teams
• Provide strong 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

• Ph.D. or equivalent in Computer Science or related field AND 6 or more years full-time Software Engineering work experience; OR
• 10 years full-time Software Engineering work experience, which includes 6+ years of software engineering experience in one or more of the following areas: computer vision, natural language processing, foundational model training, reinforcement learning
• At least 4 years experience in managing high-performing teams in Machine Learning and Data Engineering
• Proven track record managing and scaling machine-learning teams
• 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

• Experience managing machine learning teams at two or more companies
• Experience training and deploying ML Models for robotics
• Experience with robotics toolkits (ROS/ROS2)
  Experience with big data and orchestration systems in production: eg, Spark, Ray, Airflow Dev Ops experience (e.g. CI/CD Pipelines, Infrastructure as Code, Containers)