Senior ML Engineer - Large-Scale Production

Reddit; Canada; Remote; CAD 120,000 - 180,000; Full time

Job summary

Reddit is hiring a Machine Learning Engineer to design and deploy production ML systems powering core experiences across the platform. You will own the full ML lifecycle from research and feature engineering to deployment and monitoring, working with large-scale data and cross-functional teams.

You will build scalable pipelines, optimize latency and throughput, and apply state-of-the-art ML techniques, including LLM-driven solutions, to improve relevance and user engagement.

Qualifications

• 3–5+ years of experience building, deploying, and operating ML systems in production.
• Proficient in Python/Java/Go and ML frameworks (PyTorch, TensorFlow).
• Experience designing scalable ML pipelines and model serving infrastructure.

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/model pipelines with reliability and retraining.
• Work with large-scale datasets to improve ranking, recommendations, search relevance, and optimization.
• Collaborate with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions.
• Improve system performance across latency, throughput, and model quality metrics.
• Research and apply state-of-the-art ML techniques including LLMs and transformers.
• Contribute to technical strategy, architecture, and long-term ML roadmap.

Skills

Python

Java

Go

ML fundamentals

PyTorch

TensorFlow

ML pipelines

Education

Master's degree in Computer Science/ML

Tools

Spark

Kafka

Ray

Airflow

BigQuery

Redis

Job description

Reddit is hiring a Machine Learning Engineer to design and deploy production ML systems powering core experiences across the platform. You will own the full ML lifecycle from research and feature engineering to deployment and monitoring, working with large-scale data and cross-functional teams.

You will build scalable pipelines, optimize latency and throughput, and apply state-of-the-art ML techniques, including LLM-driven solutions, to improve relevance and user engagement.