Live opening · Posted 8 days ago

Machine Learning Engineer - AI *Work From Home*

Torentify · United States (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 8 days ago
CompanyTorentify
LocationUnited States (Remote)
Salary401(k), +3 benefits
Work modeNo
SourceLinkedin
Listed8 days ago

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About the role

Description supplied by the original job listing.

About the Role
Netflix is seeking a PhD intern to join its AI Platform team and work on infrastructure powering large-scale Machine Learning and AI systems. The role focuses on the intersection of systems and ML, including training infrastructure, post-training systems, GPU-optimized inference, serving, and model-system co-design.
Key Responsibilities
Work on large-scale ML and AI infrastructure at Netflix.
Contribute to distributed training and serving infrastructure.
Develop and optimize ML training, post-training, and offline infrastructure.
Improve GPU-optimized inference and model serving systems.
Explore model-system co-design approaches for AI platforms.
Solve open-ended infrastructure challenges in collaboration with ML and systems teams.
Required Qualifications
Currently enrolled in a PhD program in Computer Science, Distributed Systems, Systems, Networking, Machine Learning, Computer Engineering, or a related field.
Research or applied experience in distributed systems, ML infrastructure, distributed training/serving, inference optimization, or model-system co-design.
Proficiency in Python.
Familiarity with distributed computing frameworks such as Ray, Kubernetes, or Spark.
Strong written and verbal communication skills.
Curious, self-motivated, and comfortable solving open-ended technical problems.
Preferred Qualifications
Experience with Go, C++, or Rust.
Publications or research aligned with systems or applied ML venues.
Previous industry or internship experience in ML infrastructure.
Experience with large-scale ML training or serving systems.
Internship Details
Minimum 12-week paid internship.
Expected start date: January 2027.
Candidates are expected to return to school for at least one semester or quarter after the internship.
Remote candidates may be considered for this team.
Applications are reviewed on a rolling basis.
Conversion or return offers are based on business needs and available headcount and are not guaranteed.
Compensation & Benefits
Netflix lists an internship market range of USD $40–$85 per hour, with compensation varying based on location, skills, experience, and other factors.
Netflix also provides eligible employees with benefits that may include health plans, mental health support, 401(k) with employer match, stock programs, disability programs, family-forming benefits, life and serious injury benefits, and paid leave programs.

Work arrangement
No

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