What you´ll do
- Coordinate with Product and Engineering leadership to identify both the long-term and short-term needs of the knowledge graph.
- Contribute to our team-wide product ideation in collaboration with other engineering leaders, engineers, researchers, product managers, and subject-matter experts on the team.
- Communicate complex concepts and the results of analyses in a clear and effective manner to technical and non-technical audiences.
- Collaborate with other team members and cross-functionally to share knowledge and discuss initiatives.
Who you are
- You can draw on substantial depth and breadth of management experience to lead and grow a machine learning team.
- You collaborate well with teams with different backgrounds/expertise/functions.
- You have expertise in full product lifecycle; technical designs, project planning, iterative implementation, and successful product launches.
- You care about data-driven development, reliability, and responsible experimentation.
- You understand the application of intermediate principles of data science (machine learning, statistics, computer science, mathematics) to solve technical problems.
- You are an expect in the ML Operations lifecycle; data acquisition, model training, and model deployment.
- You love your customers even more than your code.
- You have experience and passion for mentoring and encouraging collaborative teams.
- You are experienced in cultivating a strong engineering culture in an agile environment.
Where you´ll be
- Where in the world? For this role, you will be in New York.
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