ML Data Infrastructure Engineer
- Pay
- $221,000 – $331,000 per year
- Location
- Palo Alto, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Experience
- 1+ year
- Listed
- 30 days ago
Skills & highlights for this role
- distributed systems
- Apache Spark
- Apache Flink
- data structures
- systems design
Also useful
- MLOps
- feature stores
- model serving
Stated benefits & perks
- Medical
- Dental
- Vision
- 401k
- Unlimited pto
The Impact You'll Make
- Design and build data processing infrastructure for model training and feature serving, optimizing for performance, reproducibility, and traceability
- Collaborate closely with research teams to design and implement novel data processing architectures for emerging model and training paradigms
- Identify and resolve performance bottlenecks across the training data pipeline, from raw data ingestion to feature delivery
- Establish best practices, tooling for data infrastructure used across ML teams
Required Qualifications
- Have 1 - 3 years of experience and a minimum of a BS and/or MS in Computer Science
- Strong software engineering fundamentals, with experience building high-throughput, fault-tolerant distributed systems
- Hands-on experience with distributed computing frameworks such as Apache Spark or Flink
- Solid grounding in data structures, systems design, and performance optimization
- Strong problem-solving skills and attention to detail
Preferred Qualifications
- Background in MLOps, Data Infrastructure, or ML Infrastructure
- Experience with ML training pipelines, feature stores, or model-serving systems
Additional information
AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits.
Other Types of Pay: Equity eligible
Health Insurance: Medical, Dental, Vision, Life, Disability
Retirement Benefits
- 401(k) Retirement Plan
- Paid Time Off: Unlimited Discretionary Time Off
- Paid Holidays: 10 paid holidays per year
- Paid Sick Leave: 80 hours per year
- Method of Application: Apply online
Application Window: The application window is expected to close within 30 days of the posting date.
CA Base Pay Range $221,000—$331,000 USD
- To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.
- Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.
About AppLovin
AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences.
To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others.
As a member of our ML Data Platform team, you'll solve technical challenges, including upgrading and implementing state-of-the-art software infrastructure. The team builds a high-performance, high availability, globally distributed ecosystem platform of services that in turn provide the foundation for rapid development of novel new systems that integrate into that ecosystem and improve it.
Equal opportunity and legal notices
AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at
AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in California,
From AppLovin's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the ML Data Infrastructure Engineer role at AppLovin?
The ML Data Infrastructure Engineer posting at AppLovin states compensation of $221,000 – $331,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on AppLovin's official career site.
Where is the ML Data Infrastructure Engineer job at AppLovin located?
This ML Data Infrastructure Engineer position at AppLovin is located in Palo Alto, CA (On-site). Always check AppLovin's application page for specific state eligibility or relocation policies.
What qualifications are required for ML Data Infrastructure Engineer at AppLovin?
For the ML Data Infrastructure Engineer role, AppLovin highlights 1+ year of relevant experience; experience with distributed systems, Apache Spark, Apache Flink, data structures, systems design. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the ML Data Infrastructure Engineer position at AppLovin?
This listing links directly to AppLovin's Greenhouse application page. You can apply directly on AppLovin's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.