Machine Learning Engineer, Ads Training Platform
Job Summary
Reddit is seeking an engineer experienced in infrastructure, distributed systems, and ML platform operations to design, build, and maintain large-scale training infrastructure for its Ads machine learning models. The role involves developing tools on the Ray platform, optimizing distributed training performance, and collaborating with ML engineers to improve model training efficiency and costs. Candidates should have at least 3 years in large-scale distributed systems and 2 years with Ray, along with a strong understanding of distributed computing and storage systems. The position offers comprehensive benefits, flexible work options, and opportunities to work on scaling and fault tolerance improvements within Reddit's ML infrastructure.
Required Skills
Benefits
Job Description
Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence.
The Ads Training Platform pod builds and maintains the distributed training and data processing infrastructure that powers Reddit’s Ads machine learning models. We focus on enabling fast, reliable, and scalable model training across large datasets, supporting the Ads ML teams in improving ad targeting, conversion prediction, and advertiser value.
We are looking for an engineer with deep experience in infrastructure, distributed systems, and ML platform operations to help evolve and scale our training systems.
What You’ll Do
- Design, build, and maintain large-scale distributed training infrastructure for Ads ML models.
- Develop tools and frameworks on top of the Ray platform.
- Build tools to debug, profile, and tune distributed training jobs for performance and reliability.
- Integrate with object storage systems and improve data access patterns.
- Collaborate with ML engineers to improve model training time, efficiency, and GPU training costs..
- Drive improvements in scheduling, state management, and fault tolerance within the training platform to enhance overall performance.
What You Bring
- 3+ years in infrastructure/platform engineering or large-scale distributed systems.
- 2+ years hands-on experience with Ray platform.
- Strong understanding of distributed computing principles (task scheduling, fault tolerance, state management).
- Experience with distributed storage systems and large-scale data processing.
- Proven ability to debug and profile distributed jobs.
- Experience with deep learning frameworks (PyTorch, TensorFlow) is a big plus.
- Bonus: model optimization for distributed training, Ads ML experience.
Benefits:
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k Match
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Reddit Global Days off
- Generous paid Parental Leave
- Paid Volunteer time off
#LI-AK1 #LI-REMOTE
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
In select roles and locations, the interviews will be recorded, and transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
A social media platform where users create and participate in communities (subreddits) to discuss a wide range of topics, share content, and connect.
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