Senior Machine Learning Infrastructure Engineer, Embedding Platform

Навыки

• A/B-тесты
• Коммуникация
• Отладка и поиск ошибок
• Machine Learning
• Python
• PyTorch
• SOLID и паттерны

О компании и продукте

• As a Senior Machine Learning Infrastructure Engineer , you will work across both model development and ML platform to build large-scale learning systems that improve recommendation and personalization on Reddit. At the senior level, you will own major technical components end to end: designing models, implementing training and evaluation pipelines, and driving production deployment in close partnership with ML platform, product, and cross-functional ML teams.

Задачи

• 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
• 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
• Reddit is a community of communities
• It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet
• Every day, Reddit users submit, vote, and comment on the topics they care most about

Требования

• 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

Условия

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave
• With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information
• For more information, visit www.redditinc.com
• The LS Embedding Machine Learning Platform team is at the forefront of building highly expressive, machine learning models that power Reddit’s recommendation systems
• We go beyond standard retrieval and ranking architectures, leveraging modern deep learning approaches and scalable model designs to enhance personalization across Reddit’s ecosystem
• Our work impacts content discovery, user engagement, and platform growth at a massive scale

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