Senior ML Engineer: Personalization & Ads at Scale

Reddit, Inc.; San Francisco (CA); On-site; USD 216,700 - 303,400; Full time

Benefits offered by this job

Comprehensive Healthcare

401(k) with employer match

Global Benefit programs

Family Planning Support

Mental Health & Coaching Benefits

Flexible Vacation & Paid Volunteer

Generous Parental Leave

Job summary

Reddit, Inc. is hiring Machine Learning Engineers to design, build, and deploy production-grade ML models across consumer and ads systems.

You will own the full ML lifecycle—from problem definition and feature engineering to training, evaluation, deployment, and monitoring—while ensuring reliability, observability, and low latency in large-scale systems. You’ll work on personalized recommendations, search, ranking, and ad systems, and collaborate with cross-functional teams to deliver

Qualifications

• 3-5+ years of experience building ML systems in production.
• Strong programming skills in Python, Java, Go or similar.
• Experience with ML frameworks and scalable pipelines.

Responsibilities

• Design, build, and deploy production-grade ML models and systems at scale.
• Own the full ML lifecycle from problem definition to monitoring.
• Build scalable data and model pipelines with reliability and observability.
• Collaborate with Product, Data Science, Infrastructure, and Eng teams.
• Improve system performance in latency and model quality.

Skills

Python

Java

Go

Distributed systems

Cross-functional collaboration

Problem solving

Education

Advanced degree in Computer Science, ML, or related

Tools

PyTorch

TensorFlow

Spark

Kafka

Ray

Airflow

BigQuery

Redis

Model serving

Job description

Reddit, Inc. is hiring Machine Learning Engineers to design, build, and deploy production-grade ML models across consumer and ads systems.

You will own the full ML lifecycle—from problem definition and feature engineering to training, evaluation, deployment, and monitoring—while ensuring reliability, observability, and low latency in large-scale systems. You’ll work on personalized recommendations, search, ranking, and ad systems, and collaborate with cross-functional teams to deliver