Overview of the Netflix Machine Learning Internship
- Location: Los Gatos, California, USA (Onsite)
- Duration: Minimum 12 weeks
- Internship Type: Paid, Full-time
- Application Type: Online + Airtable Form
- Last Date to Apply: No fixed deadline – open for at least 7 days; closes once filled
- Internship Period: Fall 2025
- Compensation: $40/hour – $110/hour depending on role, experience & location
Netflix is revolutionizing how the world experiences entertainment. With over 280 million members worldwide, their commitment to personalization, content discovery, and machine learning innovation has positioned them as a global leader in tech-driven media. This internship provides the opportunity to be part of that transformation.
Eligibility Criteria
To be considered for the Fall 2025 Machine Learning Internship at Netflix, you must meet the following conditions:
- Academic Qualification: Currently enrolled in a PhD program in Machine Learning or a closely related field.
- Domain Expertise in ML: Hands-on experience in at least one of the following areas:
- Recommender Systems & Personalization: Including hybrid models, LLMs, Transformers, collaborative filtering.
- Natural Language Processing (NLP): LLMs, prompt engineering, fine-tuning, embeddings.
- Computer Vision (CV): Image/video analysis and generative models.
- Reinforcement Learning (RL): Offline/online RL, learning from human feedback.
- Multimodal Systems: Working with a mix of text, audio, video, etc.
- Reliable AI: Explainability, robustness, causality in ML.
- ML Infrastructure: Scalable ML systems, model optimization.
- Computer Graphics: 3D modeling, neural rendering, animation.
- Programming Experience: Proficient in at least one of Python, Java, Scala, or C/C++.
- Frameworks: Experience with ML frameworks like TensorFlow, PyTorch, or Keras.
- Bonus: Familiarity with distributed systems (e.g., Spark, Presto), MLOps pipelines, and version control practices.
Key Responsibilities
Depending on the team and track you are assigned to, you might work on:
- Building new ML models for personalized recommendations
- Improving video/image understanding systems
- Designing efficient model inference pipelines
- Creating research-backed prototypes for production testing
- Contributing to internal ML platforms and tools
Stipend and Benefits
Netflix offers one of the most competitive internship packages in the industry:
- Hourly Stipend Range: $40 – $110
- Total Compensation: Based on experience, skillset, and role responsibilities
- Location Benefits: Internships are onsite in either Los Gatos or Los Angeles, CA
- Inclusive Work Culture: Equal opportunity, diversity-first environment
- Networking & Mentorship: Access to leading ML scientists and engineers
Application Timeline & Deadlines
- Opening Date: April 23, 2025
- Deadline: Applications are reviewed on a rolling basis. The position will remain open for at least 7 days but may close earlier if filled.
- Internship Start: Fall 2025 (Exact dates to be communicated post-selection)
It’s advised to apply as early as possible to increase your chances of selection.
How to Apply – Step-by-Step Guide
The application process includes two main parts:
1. Submit Your Application on the Netflix Careers Page
- Go to the official https://explore.jobs.netflix.net/careers/job/790302560337-machine-learning-intern-fall-2025-los-gatos-california-united-states-of-america.
- Search for “Machine Learning Intern, Fall 2025”
- Submit your resume (PDF preferred) including:
- Full name and contact info
- Educational background
- ML-related coursework
- Relevant experience and projects
- Publications (if any)
2. Fill Out the Airtable Form
After applying on the careers portal, you will receive a separate Airtable form. This must be completed for your application to be considered.
In the Airtable form, you’ll be asked to:
- Indicate your primary and secondary interest areas in ML (e.g., NLP, CV, RL, etc.)
- Provide a brief research statement highlighting:
- Your previous ML work
- Research interests and goals
- How your work aligns with Netflix Research (optional but encouraged)
Applications without the Airtable form will not be considered.
Selection Tips & Additional Insights
- Tailor Your Resume: Focus on specific projects and experiences relevant to Netflix’s ML domains.
- Highlight Publications: If you’ve published in top-tier conferences (e.g., NeurIPS, ICML, CVPR), mention them.
- Be Honest About Skills: You don’t need to check every box – show genuine interest and the capacity to learn.
- Diversity Matters: Netflix strongly encourages applicants from diverse backgrounds and underrepresented groups.
Why Intern at Netflix?
Netflix offers a highly immersive internship experience where you:
- Work on real, production-level problems
- Collaborate with experienced researchers and engineers
- Experience a unique, non-hierarchical work culture
- Get exposure to world-class ML infrastructure and tools
Interns are treated as core members of the team, and many past interns have gone on to publish, receive full-time offers, or contribute to open-source tools.
Quick Summary
| Feature | Details |
|---|---|
| Internship Name | Machine Learning Intern – Fall 2025 |
| Company | Netflix |
| Location | Los Gatos or Los Angeles, California |
| Work Type | Onsite |
| Duration | Minimum 12 weeks |
| Stipend | $40/hour – $110/hour |
| Application Mode | Online + Airtable Form |
| Eligibility | PhD Student in ML or related field |
| Last Date | No fixed deadline – apply ASAP |
| Key Domains | NLP, CV, RL, LLMs, Recommender Systems, ML Infra, etc. |
