Machine Learning Engineer - Ads Training Platform

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. The team also supports DevX initiatives such as experimentation pipelines and feature fan-out systems.

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

• Develop tools and frameworks on top of the Ray platform to improve model performance, focusing on faster training and lower serving latency.

• Dive into models to optimize their computational graphs, fuse operations, and improve the forward pass and data ingestion methodologies.

• Enhance model freshness using state-of-the-art training methodologies such as multi-GPU training, incremental training, and continual learning.

• Build tools to debug, profile, and optimize distributed training jobs for both performance and reliability.

• Drive improvements in scheduling, state management, and fault tolerance within the training platform to maximize efficiency and scalability.

• Build Auto ML foundations: scalable hyperparameter tuning, modular search spaces for model and feature configurations, and support for advanced architecture exploration.

What You Bring

• At least 1+ years of experience in model profiling and optimizing models for training and online serving on GPUs

• At least 5+(3+ for IC3) years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment.

• Proven ability to debug and profile distributed training jobs.

• Proficient in one or more general-purpose programming languages (e.g., Python, Scala) and have a solid understanding of software development best practices.

• Hands-on experience with a major machine learning framework (e.g., TensorFlow, PyTorch) and a deep understanding of core ML concepts and algorithms.

• Proven ability to work effectively with cross-functional teams, including product managers and data scientists, to translate business needs into technical solutions.

• Experience with distributed storage systems and large-scale data processing is a plus

Benefits

• Comprehensive healthcare coverage

• 401(k) match

• Family planning support

• Gender-affirming care

• Mental health and coaching benefits

• Flexible vacation and 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.

The base pay range for this position is:

$185,800—$260,100 USD