Remote Senior ML Infrastructure Engineer

Reddit, Inc.; Northern (KY); Hybrid; USD 191,000 - 267,000; Full time

Benefits offered by this job

Healthcare benefits

401k with employer match

Vacation & parental leave

Mental health & coaching

Job summary

Reddit, Inc. is seeking a Senior Machine Learning Infrastructure Engineer to own major ML components end to end, spanning model development and ML platform work for scalable recommendations and personalization.

You will design training and deployment pipelines, optimize distributed training, and collaborate with cross-functional teams to deliver measurable improvements in user experience and business impact.

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 platform for large datasets and high-traffic production environments.
• Demonstrated ability to independently scope and execute ambiguous technical work, owning high-quality implementation details.
• Solid understanding of distributed training and inference concepts (data/model/pipeline parallelism).
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
• 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 production systems.
• Excellent communication skills to present complex ML concepts to diverse 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 infrastructure

Sequence models

Foundational models

Distributed training

Python

PyTorch

TensorFlow

System design

AB testing

Communication

Tools

PyTorch

TensorFlow

Python

Job description

Reddit, Inc. is seeking a Senior Machine Learning Infrastructure Engineer to own major ML components end to end, spanning model development and ML platform work for scalable recommendations and personalization.

You will design training and deployment pipelines, optimize distributed training, and collaborate with cross-functional teams to deliver measurable improvements in user experience and business impact.