Senior Applied AI Engineer – ML for Systems & Infrastructure jobs in United States
cer-icon
Apply on Employer Site
company-logo

Databricks · 1 week ago

Senior Applied AI Engineer – ML for Systems & Infrastructure

Databricks is a leading data and AI company that provides innovative solutions for data management and analytics. As a Senior Applied AI Engineer, you will leverage machine learning and optimization algorithms to enhance the efficiency of engineering systems and infrastructure, working on complex challenges to improve product performance and cost-effectiveness.

AnalyticsArtificial Intelligence (AI)Data StorageInformation TechnologyMachine Learning
check
Growth Opportunities
check
H1B Sponsor Likelynote

Responsibilities

Build end-to-end systems from the ground up in a small team of experienced people
Shape the direction of our applied ML areas of investment by engaging with engineering and product teams across the company
Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products, infrastructure and services
Architect and implement robust, scalable ML infrastructure, including data storage and processing, model training and serving components, and monitoring and reporting systems to support seamless integration of AI/ML models into production environments
Work on novel modeling techniques in the field of ML for Systems
Contribute to the broader AI community by publishing research, presenting at conferences, and actively participating in open-source projects, enhancing Databricks' reputation as an industry leader

Qualification

Machine Learning EngineeringAI/ML Systems DevelopmentModel DeploymentStatistical AnalysisMathematical ModelingSoftware Engineering PrinciplesMonitoring SystemsCoding SkillsOpen-source Contribution

Required

2-8 years of machine learning engineering experience in high velocity, high-growth companies
Strong understanding of both computer systems and statistics
Large breadth of knowledge or interest in mathematical modeling beyond ML (OR, combinatorial optimization)
Experience developing AI/ML systems at scale in production
Strong track record of ML modeling that goes beyond using standard libraries
Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment
Experience deploying, scaling and monitoring models in production; deep understanding of the unique infrastructure challenges posed by training and serving predictions in Tier 0 environments

Benefits

Annual performance bonus
Equity

Company

Databricks

company-logo
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture.

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 Stage
Total Funding
$25.81B
Key Investors
Counterpoint GlobalFranklin TempletonAndreessen Horowitz
2025-12-16Series Unknown· $4B
2025-09-08Series Unknown· $1B
2025-01-13Debt Financing· $5.25B

Leadership Team

leader-logo
Ali Ghodsi
CEO and Co-founder
linkedin
leader-logo
David Conte
Chief Financial Officer
linkedin
Company data provided by crunchbase