This role pays more than
80%
of similar roles. Most pay
$195,150–$270,000
— the shaded band above.
At the midpoint, this role pays about
$276k
versus about
$233k
for comparable roles.
Based on 240 similar postings.
Employer
About Reddit
Reddit is a social news aggregation and discussion platform where users share content, vote on posts, and engage in community conversations across thousands of interest-based forums called subreddits.
Reddit currently has
77 open roles
on FindRole.
Listed pay typically runs
$217,000–$303,400
across 77 roles with salary data.
As the Engineering Manager, Ads ML Efficiency, you will lead a team of engineers focused on making model training and inference faster, cheaper, safer, and more scalable. You will manage the roadmap for training optimization, inference optimization, launch-readiness tooling, and reusable efficiency primitives while hiring and mentoring a high-performing team. Your daily work involves building systems for profiling, benchmarking, load testing, observability, cost analysis, and debugging to reduce training time, online latency, and serving costs. You will collaborate with ranking, platform, and serving teams to resolve bottlenecks in the production path. The role requires deep experience in ML engineering, distributed systems, and GPU utilization. Preferred skills include PyTorch, distributed training frameworks, and kernel optimization. This role specifically addresses technical challenges within ads ranking, recommender systems, and marketplace machine learning environments.
What does a Engineering Manager earn in Remote?
Median $235250 from 43 postings across 20 companies.
Machine Learning
Deep Learning
Python
PyTorch
TensorFlow
Distributed Training
Recommendation Systems
Sequence Modeling
System Design
A/B Testing
Model Evaluation
Performance Optimization