Senior Machine Learning Engineer, Production at Scale

Fdetimes; United States; Remote; USD 186,000 - 260,000; Full time

Benefits offered by this job

Comprehensive Healthcare Benefits and

401k with Employer Match

Global Benefit programs

Family Planning Support

Gender-Affirming Care

Mental Health & Coaching Benefits

Flexible Vacation & Paid VolunteerTime

Generous Paid Parental Leave

Job summary

Reddit is seeking a Machine Learning Engineer to design and deploy production ML systems across core experiences, including recommendations, search, and ads. You will own end-to-end ML lifecycles and contribute to real-time decision systems at internet scale.

You will work with large datasets, collaborate with product and infrastructure teams, and apply state-of-the-art techniques to improve relevance, discovery, and monetization.

Qualifications

• 3-5+ years of experience building, deploying, and operating machine learning systems in production.
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals.
• ML Fundamentals: strong grasp of algorithms from classic statistical learning to DL architectures.
• Hands-on experience with modern ML frameworks (PyTorch, TensorFlow).
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure.
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions.
• Experience improving measurable metrics through applied machine learning.

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

Education

Advanced degree in Computer Science, ML, or related field

Tools

PyTorch

TensorFlow

Spark

Kafka

Airflow

BigQuery

Redis

Job description

Reddit is seeking a Machine Learning Engineer to design and deploy production ML systems across core experiences, including recommendations, search, and ads. You will own end-to-end ML lifecycles and contribute to real-time decision systems at internet scale.

You will work with large datasets, collaborate with product and infrastructure teams, and apply state-of-the-art techniques to improve relevance, discovery, and monetization.