Reddit Machine Learning Engineering Internhip (PhD) - Ads Marketplace 2026
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| Reddit Machine Learning Engineering Internhip |
Reddit Machine Learning Engineering Intern (PhD) - Ads Marketplace 2026 | Apply Now
Have you ever wanted to write the code that powers the very heartbeat of the internet? Reddit is searching for elite PhD candidates to join their Ads Machine Learning team for an immersive 12-week Summer 2026 internship, available in San Francisco or remotely. Step out of the academic lab and into the real world to build high-impact machine learning models that optimize auction dynamics and directly influence the digital experience of millions of daily active users.
💡 99jobs Pro-Tip: How to Stand Out
To capture the attention of Reddit's engineering recruiters, don't just list your PhD research—connect it directly to computational advertising, ad tech, or auction theory if possible. Highlight your hands-on proficiency with frameworks like PyTorch or TensorFlow, and emphasize any experience you have processing massive, real-world datasets using Spark or Hadoop, proving you can successfully scale your models for production environments.
Key Highlights:
- Organization: Reddit
- Job Title: Machine Learning Engineering Intern - Ads Marketplace, PhD
- Duty Station: San Francisco, CA / Remote / Hybrid
- Compensation: $63.00 - $69.00 / hour
- Date Posted: February 2026
- Duration: Summer 2026
- Work Type: Full-time Internship (Paid)
- Official Job Page: View Official Job Post
Particulars & Details
| Organization | |
|---|---|
| Department | Ads Machine Learning Team |
| Post Name | Machine Learning Engineering Intern (PhD) |
| Location | San Francisco, CA or Remote |
| Duration | Summer 2026 |
| Work Type | Full-time Internship |
| Last Date to Apply | Ongoing Basis |
About the Role
Reddit is the heart of the internet, and its Emerging Talent program is ready for the next cohort of interns. Reddit is seeking Machine Learning Engineering (MLE) interns who are passionate about coding, creating complex models, and gaining exposure to how a real engineering team works—from architecture and development to testing, deployment, and maintenance. This role places you directly within the Ads ML team, where you will tackle challenges that impact the core business of the platform.
Duties and Responsibilities
- Work on high-impact projects that directly affect Reddit's business and revenue streams.
- Build, deploy, and refine machine learning models to improve Reddit's ad marketplace and auction dynamics.
- Participate in the full lifecycle of ML model development, including data analysis, feature engineering, model training, evaluation, deployment, and ongoing monitoring.
- Collaborate cross-functionally with product managers, data scientists, and backend engineers to align on goals and deliverables.
- Write clean, efficient, and well-documented code for production environments.
- Contribute actively to team discussions, brainstorms, and code reviews.
Eligibility Criteria
- Educational Status: Must be currently enrolled in a PhD program.
- Field of Study: Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field.
- Graduation Timeline: Expected to graduate between December 2026 and Summer 2027.
- Work Authorization: Must be authorized to work lawfully in the United States.
Qualifications, Skills and Competencies
- Technical Knowledge: Strong understanding of machine learning algorithms, statistical modeling, and data structures.
- Programming: High proficiency in programming languages such as Python, Java, or C++.
- ML Frameworks: Hands-on experience with modern ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Data Processing: Experience working with large datasets and utilizing data processing tools such as SQL, Spark, and Hadoop.
- Soft Skills: Strong problem-solving abilities, exceptional analytical skills, and excellent communication and collaboration capabilities.
- Bonus Qualifications: Research experience or publications in top-tier ML/AI conferences (e.g., NeurIPS, ICML, KDD), experience with ad tech or computational advertising, and familiarity with cloud platforms (AWS, GCP) are highly valued.
Internship Conditions & Benefits
- Compensation: Highly competitive pay ranging from $63.00 to $69.00 per hour.
- Work Location Flexibility: Candidates can specify their preference for In-Person (San Francisco), Remote, or Hybrid work arrangements during the application process.
- Real-World Exposure: Guarantee of gaining hands-on exposure to production-level engineering processes while having the unique perk of browsing subreddits at work.
Application Fee
Reddit does not charge any application, processing, or training fees at any point during the recruitment process. Please remain vigilant against potential recruitment fraud.
Important Dates
- Program Start: Summer 2026
- Application Deadline: Positions are filled on an ongoing, rolling basis. Early application is strongly encouraged.
How to Apply
- Navigate to the official RippleMatch application portal for Reddit using the link provided below.
- Upload your resume (PDF or DOCX format, 10MB max). You have the option to autofill the application by dragging and dropping your resume.
- Complete the required application fields, including specifying your job location preferences (In-Person, Remote, Hybrid) and confirming your work authorization status.
- Click "Submit Application" to finalize your entry.
Important Links
- Apply Online: Click Here to Submit Application
- Reddit Careers: [redditinc.com/careers](https://redditinc.com/careers)
FAQs
- Where is the internship located? The internship offers flexible options, including San Francisco, CA (In-Person), Hybrid, or fully Remote.
- Is the internship paid? Yes, the role offers an hourly pay rate between $63.00 and $69.00 USD.
- What level of education is required? Applicants must be currently enrolled in a PhD program.
- When should I be graduating to be eligible? You must have an expected graduation date between December 2026 and Summer 2027.
Disclaimer: This opportunity is shared for informational purposes only. We at 99jobs.org are not the organizing or recruiting institution. We do not accept or process applications and cannot influence selection decisions. Applicants must apply directly through the official organization website. Please verify all details from the official source before applying.
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