Senior ML Infrastructure Engineer — Personalization at Scale

EngineersOfAI; Northern (KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Reddit is seeking a Senior Machine Learning Infrastructure Engineer to work across model development and ML platform, building large-scale learning systems that improve recommendation and personalization.

You will own major components end to end, from problem framing through production rollout, collaborating with ML, product, and data teams to deliver measurable improvements in user experience. Strong Python skills and experience with PyTorch or TensorFlow are required.

Qualifications

• 5+ years of experience in machine learning engineering with a focus on large-scale ML infrastructure.
• Expertise in modern deep learning architectures, including sequence models and foundational models.
• Experience building or scaling ML platforms for large datasets and high-traffic production environments.
• Ability to independently scope and execute ambiguous technical work while owning implementation details.
• Solid understanding of distributed training and inference concepts (data/model/pipeline parallelism).
• Proficiency in Python and experience with PyTorch, TensorFlow, or similar frameworks.
• Strong software engineering fundamentals (system design, debugging, testing, performance).
• Experience with A/B testing, model evaluation frameworks, and real-time feedback loops.

Responsibilities

• Design, train, and improve large-scale ML platforms for recommendation or personalization systems.
• Own and deliver major ML systems components end-to-end, from problem framing to production rollout.
• Build and optimize end-to-end ML pipelines (data prep, feature generation, training, evaluation, deployment).
• Improve distributed training, model efficiency, and online inference performance.
• Apply modern modeling approaches including sequence modeling and foundational models to Reddit use cases.
• Develop reliable serving and monitoring patterns for low-latency, high-throughput production ML systems.
• Collaborate with cross-functional teams to deliver measurable improvements in user experience and business impact.
• Drive rigorous offline and online evaluation, including experimentation and model diagnostics.

Skills

Python

Distributed training

System design

Model deployment

Sequence models

Foundational models

A/B testing

Communication

Tools

PyTorch

TensorFlow

Job description

Reddit is seeking a Senior Machine Learning Infrastructure Engineer to work across model development and ML platform, building large-scale learning systems that improve recommendation and personalization.

You will own major components end to end, from problem framing through production rollout, collaborating with ML, product, and data teams to deliver measurable improvements in user experience. Strong Python skills and experience with PyTorch or TensorFlow are required.