Machine Learning/AI Infrastructure Engineering Intern (AI Platform) PhD, Winter 2027
Los Gatos, CA, US
- Pay
$40–85/hour · Total compensationLocation-specific pay — pay source
* This program is intended for students who will be returning to school for at least one semester/quarter following the internship to be eligible for full time employment. Conversion or return offers are based on business need and headcount, and are not guaranteed. At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. The overall market range for Netflix Internships is typically $40/hour - $85/hour. This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingWork on large-scale ML training platforms and post-training/offline infrastructure
Build GPU-optimized inference and serving systems
Co-design infrastructure with modeling teams
From the employer’s posting
from large-scale training platforms and post-training/offline infrastructure to GPU-optimized inference and serving
GPU-optimized inference and serving
infrastructure that's closely co-designed with modeling teams (model–system codesign)
What you’ll bring
All qualificationsCore experience
- Currently enrolled PhD student in CS, systems, ML or a related field
- Research or applied experience in distributed systems or ML infrastructure
- Proficiency in Python
- Familiarity with Ray, Kubernetes, Spark or similar compute frameworks
- Strong written and verbal communication skills
Qualification wording
Currently enrolled student pursuing a PhD in Computer Science, Distributed Systems, Systems, Networking, Machine Learning, Computer Engineering, or a related field
Research or applied experience in one or more of the following:
Proficiency in Python
Familiarity with distributed compute frameworks (e.g., Ray, Kubernetes, Spark)
Strong written and verbal communication skills
Education & alternatives
The AI Platform team builds the infrastructure that Netflix's ML and AI systems run on, from large-scale training platforms and post-training/offline infrastructure to GPU-optimized inference and serving. You'll work on infrastructure that's closely co-designed with modeling teams (model–system codesign), so this role suits PhD researchers who enjoy working at the intersection of systems and ML rather than pure modeling. We are looking for individuals with the following qualifications:
We are looking for individuals with the following qualifications: * Currently enrolled student pursuing a PhD in Computer Science, Distributed Systems, Systems, Networking, Machine Learning, Computer Engineering, or a related field * Research or applied experience in one or more of the following:
Tools in this posting
- C++
- Python
- Rust
- Kubernetes
- Spark
- Go
Source — Tool mentions in context
* Model–system codesign * Proficiency in Python; experience with systems languages (Go, C++, or Rust) is a strong plus * Familiarity with distributed compute frameworks (e.g., Ray, Kubernetes, Spark) and ML training/serving stacks
* Proficiency in Python; experience with systems languages (Go, C++, or Rust) is a strong plus * Familiarity with distributed compute frameworks (e.g., Ray, Kubernetes, Spark) and ML training/serving stacks * Curious, self-motivated, and excited about solving open-ended infrastructure challenges at Netflix scale
About Netflix
At Netflix, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what it is like to actually work here.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- Aug 27, 2026 · 63 days ago
- Recorded sightings
- 244
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on explore.jobs.netflix.net. The employer’s form will show what is required.
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Job description
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
* This program is intended for students who will be returning to school for at least one semester/quarter following the internship to be eligible for full time employment. Conversion or return offers are based on business need and headcount, and are not guaranteed. At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. The overall market range for Netflix Internships is typically $40/hour - $85/hour. This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.
- Location & working pattern
Los Gatos, CA, US
* 12-week minimum internship with a start date early January 2027 * Based at our Los Gatos, CA headquarters, may be open to remote candidates * Intended for students returning to school for at least one semester/quarter after the internship; conversion/return offers are based on business need and headcount, and are not guaranteed
More source context
At Netflix, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture. * Internships are paid and are a minimum of 12 weeks, with a fixed start date the second week of January 2027 (Winter). Location is flexible for this team, with remote candidates considered. * This program is intended for students who will be returning to school for at least one semester/quarter following the internship to be eligible for full time employment. Conversion or return offers are based on business need and headcount, and are not guaranteed.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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