Reddit's Ads Training Platform pod needs to evolve and scale its distributed training and data processing infrastructure to support the Ads ML teams in improving ad targeting, conversion prediction, and advertiser value.
Requirements
- 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.
Responsibilities
- 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.
Other
- 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.
- 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.
