Databricks · 2 days ago
Sr. Manager, Applied ML For Systems
San Francisco, CA
Full-time
Onsite
Director/Executive
$222K/yr - $300K/yrDatabricks is a data and AI company that empowers data teams to solve complex problems through innovative technology. In this role, you will lead a team of machine learning engineers to enhance the efficiency of Databricks’ infrastructure by applying ML and optimization algorithms, while also driving strategic initiatives that optimize workloads at scale.
AnalyticsArtificial Intelligence (AI)Data StorageInformation TechnologyMachine Learning
Responsibilities
Set vision and strategy for our 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
Partner with engineering and product leaders across the company to identify high-leverage opportunities for AI and optimization in infrastructure
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
Foster a culture of technical excellence, truth-seeking, and customer obsession
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
Qualification
Required
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
Effective cross-functional collaboration skills, with the ability to influence without direct authority
Benefits
Eligibility for annual performance bonus
Equity
Company
Databricks
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture.
Founded in 2013
5001-10000 employees
H1B Sponsorship
Databricks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (385)
2024 (319)
2023 (227)
2022 (222)
2021 (166)
2020 (64)
Funding
Current Stage
Late StageTotal Funding
$25.81BKey Investors
Counterpoint GlobalFranklin TempletonAndreessen Horowitz
2025-12-16Series Unknown· $4B
2025-09-08Series Unknown· $1B
2025-01-13Debt Financing· $5.25B
Leadership Team
Ali Ghodsi
CEO and Co-founder
David Conte
Chief Financial Officer
Recent News
Bizjournals.com Feed (2025-11-12 15:43:17)
2026-01-17
Company data provided by crunchbase