Databricks is looking to solve the problem of improving the efficiency and performance of its infrastructure by applying ML and optimization algorithms, making its infrastructure and products as performant and cost-efficient as possible.
Requirements
- Proven leadership experience managing applied AI or ML engineering teams in high-velocity, high-growth environments.
- Strong technical foundation in computer systems, statistics, and applied machine learning, with the ability to guide deep technical discussions.
- Breadth of knowledge or interest in mathematical modeling beyond ML (e.g., operations research, combinatorial optimization).
- Experience delivering ML systems at scale in production, including the infrastructure and organizational processes needed to support them.
- Interest/experience in compute systems such as kubernetes and spark.
- Track record of driving end-to-end ML projects — from identifying opportunities to delivering measurable business impact.
- Strong people leadership skills: hiring, coaching, and developing engineering talent.
Responsibilities
- Set vision and strategy for ML-for-Systems initiatives, aligning investments with product and infrastructure priorities.
- Build and lead a high-performing team of applied ML engineers, providing technical guidance, mentorship, and career development.
- Oversee the development and deployment of state-of-the-art AI models and optimization systems that directly improve Databricks' products, infrastructure, and services.
- Guide the design of robust, scalable ML solutions, ensuring best practices in data processing, model training, serving, monitoring, and reliability for Tier 0 production environments.
- Represent Databricks in the broader AI community through publications, conference talks, and open-source contributions.
- Direct impact to company profitability and bottom line by driving impact worth several millions of dollars of savings.
- Partner with engineering and product leaders across the company to identify high-leverage opportunities for AI and optimization in infrastructure.
Other
- Proven leadership experience managing teams in high-velocity, high-growth environments.
- Strong people leadership skills: hiring, coaching, and developing engineering talent.
- Effective cross-functional collaboration skills, with the ability to influence without direct authority.
- COVID-19 Vaccination Requirement: As a federal government contractor, Databricks requires new U.S. employees to be fully vaccinated against COVID-19.
- Compliance: If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions.
