Senior Machine Learning Infrastructure Engineer, Embedding Platform

Навыки

Обязанности

• 01Design, train, and improve large-scale machine learning platforms for recommendation or personalization systems
• 02Own and deliver major ML systems components end to end, from problem framing through production rollout
• 03Build and optimize end-to-end ML pipelines spanning data preparation, feature generation, training, evaluation, and deployment
• 04Improve distributed training, model efficiency, and online inference performance
• 05Apply modern modeling approaches including sequence modeling and related foundation-model techniques to Reddit use cases
• 06Develop reliable serving and monitoring patterns for low-latency, high-throughput production ML systems
• 07Work with cross-functional partners across product, relevance, ads, and core ML teams to deliver measurable improvements in user experience and business impact
• 08Drive rigorous offline and online evaluation, including experimentation, model diagnostics, and feedback-loop improvement
• 09Contribute to engineering quality through strong code, design reviews, documentation, and operational excellence

Требования

• 015+ years of experience in machine learning engineering, with a strong focus on large-scale ML infrastructure and recommendation or personalization systems
• 02Expertise in modern deep learning architectures, including sequence models and foundational models
• 03Experience building or scaling ML platform for large datasets and high-traffic production environments
• 04Demonstrated ability to independently scope and execute ambiguous technical work, while owning high-quality implementation details
• 05Solid understanding of distributed training and inference concepts, such as data parallelism, model parallelism, pipeline parallelism, or related optimization techniques
• 06Proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or similar
• 07Strong software engineering fundamentals, including system design, debugging, testing, and performance optimization
• 08Experience with A/B testing, model evaluation frameworks, and real-time feedback loops in large-scale production systems
• 09Excellent communication skills, with the ability to effectively present complex ML concepts to technical and non-technical stakeholders

Условия

• 01Comprehensive Healthcare Benefits and Income Replacement Programs
• 02401k with Employer Match
• 03Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• 04Family Planning Support
• 05Gender-Affirming Care
• 06Mental Health & Coaching Benefits
• 07Flexible Vacation & Paid Volunteer Time Off
• 08Generous Paid Parental Leave
• 09Remote work
• 10Equity in the form of restricted stock units
• 11May be eligible to receive a commission depending on the position