Senior ML Platform Engineer for Large-Scale Recommendations

Reddit, Inc.; San Francisco (CA); On-site; USD 191,000 - 267,000; Full time

Benefits offered by this job

Healthcare Benefits

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, Inc. is seeking a Senior Machine Learning Infrastructure Engineer to own major components end-to-end, building scalable ML platforms for recommendation and personalization.

You will design, train, and deploy end-to-end pipelines, spanning data prep, feature generation, and evaluation, with emphasis on production readiness and performance. You will collaborate with ML platform, product, and cross-functional teams to improve user experience and business impact, advancing model efficiency,

Qualifications

• 5+ years of experience in machine learning engineering, with a strong focus on large-scale ML infrastructure and recommendation or personalization systems.
• Experience building or scaling ML platform for large datasets and high-traffic production environments.
• Proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or similar.

Responsibilities

• Design, train, and improve large-scale machine learning platforms for recommendation or personalization systems.
• Own and deliver major ML systems components end to end, from problem framing through production rollout.
• Build and optimize end-to-end ML pipelines spanning data preparation, feature generation, training, evaluation, and deployment.
• Improve distributed training, model efficiency, and online inference performance.
• Apply modern modeling approaches including sequence modeling and related foundation-model techniques to Reddit use cases.
• Develop reliable serving and monitoring patterns for low-latency, high-throughput production ML systems.
• Work with cross-functional partners across product, relevance, ads, and core ML teams to deliver measurable improvements in user experience and business impact.
• Drive rigorous offline and online evaluation, including experimentation, model diagnostics, and feedback-loop improvement.
• Contribute to engineering quality through strong code, design reviews, documentation, and operational excellence.

Skills

5+ years ML

Large-scale ML infra

Sequence models

Foundational models

Python

PyTorch

TensorFlow

Distributed training

System design

AB testing

Communication skills

Tools

PyTorch

TensorFlow

Job description

Reddit, Inc. is seeking a Senior Machine Learning Infrastructure Engineer to own major components end-to-end, building scalable ML platforms for recommendation and personalization.

You will design, train, and deploy end-to-end pipelines, spanning data prep, feature generation, and evaluation, with emphasis on production readiness and performance. You will collaborate with ML platform, product, and cross-functional teams to improve user experience and business impact, advancing model efficiency,