Engineering Manager - Machine Learning Platform

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As an Engineering Manager in the Data Science Product group, you will help build the platform at the intersection of data science / machine learning and distributed systems. Our technology empowers the flagship collaborative workspace, notebooks, IDE integrations, and project management products. We also develop tools for managing the end-to-end machine learning lifecycle.

Note: This role is for a product and infrastructure engineering team, not an applied machine learning team. This team does not build ML models for specific applications. The team is focused on the infrastructure and full stack products that help our customers do machine learning and data science at scale. Experience with ML or data platforms is helpful to understand our customer use cases, but your team will not do any applied ML.

The impact you will have:

• Hire great engineers to build an outstanding team.
• Support engineers in their career development by providing clear feedback and develop engineering leaders.
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
• Work with engineering and product leadership to build a long-term roadmap.
• Coordinate execution and collaborate across teams to unblock cross-cutting projects.

What we look for:

• Experience managing, hiring and coaching software engineering teams.
• Experience with large-scale distributed web services and the processes around testing, monitoring, and SLAs to ensure high product quality.
• Experience managing an ML platform, SaaS, or data focused product.
• Work with partners in other departments (PM, Sales, CS) to improve outcomes.
• BS (or higher) in Computer Science, or a related field.

Benefits

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Employee Assistance Program (EAP)
• Business travel accident insurance