Senior ML Engineer — Build Production ML at Scale

FDE Times; San Francisco (CA); On-site; CAD 120,000 - 170,000; Full time

Benefits offered by this job

Comprehensive Healthcare Benefits

401k with Employer Match

Global Benefit programs that fit your,

Family Planning Support

Gender-Affirming Care

Mental Health & Coaching Benefits

Flexible Vacation & Paid VolunteerTime

Generous Paid Parental Leave

Job summary

Reddit is seeking Machine Learning Engineers who will design and build production ML systems powering core experiences across the platform, from recommendations to ads and search. You will own end-to-end ML projects and deploy models at scale, collaborating with product, data science, and infra teams.

You will work on large-scale pipelines, real-time inference, and applied AI including LLM-driven features. If you love solving real-world ML challenges at internet scale, this role offers impact

Qualifications

• 3-5+ years of experience building ML systems in production.
• Strong programming in Python, Java, or Go with solid software fundamentals.
• Mastery of ML fundamentals and DL architectures like Transformers.
• Hands-on with modern ML frameworks (PyTorch, TensorFlow).
• Experience designing scalable ML pipelines and model-serving infra.
• Ability to translate product problems into technical ML solutions.
• Proven track record improving metrics with ML.

Responsibilities

• Design, build, and deploy production-grade machine learning models and systems at scale.
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring.
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining.
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems.
• Partner cross-functionally 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 machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment.
• Contribute to technical strategy, architecture, and long-term ML roadmap.

Skills

Python

Java

Go

PyTorch/TensorFlow

ML pipelines

Education

Advanced degree in CS/ML

Tools

Spark

Kafka

Ray

Airflow

BigQuery

Redis

Job description

Reddit is seeking Machine Learning Engineers who will design and build production ML systems powering core experiences across the platform, from recommendations to ads and search. You will own end-to-end ML projects and deploy models at scale, collaborating with product, data science, and infra teams.

You will work on large-scale pipelines, real-time inference, and applied AI including LLM-driven features. If you love solving real-world ML challenges at internet scale, this role offers impact