Mission

The Machine Learning (ML) Practice team is a highly specialized customer-facing data science team at Databricks. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as teach courses on distributed ML & deep learning (DL). We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble - we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for machine learning.

The impact you will have:

• Build and optimize customer data science workloads and apply best in class MLOps to production for workloads across a variety of domains
• Host virtual trainings on distributed ML/DL to customers
• Present at conferences such as Data+AI Summit
• Provide technical mentorship to the larger ML SME community in Databricks
• Collaborate as part of a cross-functional team with different stakeholders such as product and engineering teams.
• Define priorities and influence the product roadmap

What we look for:

• 3+ years of hands-on experience with machine learning and data science tools, such as Pandas, scikit-learn, TensorFlow or PyTorch
• Experience building production-grade machine learning pipelines on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience teaching and/or communicating technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through ML
• [Preferred] Experience working with Apache Spark to process large-scale distributed datasets

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

• Employee Assistance Program (EAP)

• Business travel accident insurance

• Mental wellness resources