Senior ML Infra Engineer, Remote — Embedding Platform

Reddit; United States; Remote; USD 191,000 - 267,000; Full time

Benefits offered by this job

Healthcare benefits and income support

401k with employer match

Global benefits programs

Family planning support

Gender-affirming care

Mental health & coaching

Flexible vacation & volunteer time off

Parental leave

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 framing problems to production rollout.

You will design training and evaluation pipelines, optimize distributed training, and work with cross-functional teams to deliver measurable improvements in user experience.

Qualifications

• 5+ years of experience in machine learning engineering, with a strong focus on large-scale ML infrastructure and recommendation or personalization systems.
• Expertise in modern deep learning architectures, including sequence models and foundational models.
• Experience building or scaling ML platform for large datasets and high-traffic production environments.
• Demonstrated ability to independently scope and execute ambiguous technical work, while owning high-quality implementation details.
• Solid understanding of distributed training and inference concepts, such as data parallelism, model parallelism, pipeline parallelism, or related optimization techniques.
• Proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or similar.
• Strong software engineering fundamentals, including system design, debugging, testing, and performance optimization.
• Experience with A/B testing, model evaluation frameworks, and real-time feedback loops in large-scale production systems.
• Excellent communication skills, with the ability to effectively present complex ML concepts to technical and non-technical stakeholders.

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

ML infra

Recommendation systems

Python

PyTorch

Distributed training

System design

A/B testing

Communication

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 framing problems to production rollout.

You will design training and evaluation pipelines, optimize distributed training, and work with cross-functional teams to deliver measurable improvements in user experience.