Machine Learning Engineer

Summary

Join Reddit's Search & Recommendation Relevance team as a Machine Learning Engineer! Contribute to advancing search systems and building Reddit Answers, our next-generation AI-driven search product. Develop and enhance search retrieval and ranking models, design pipelines and algorithms for effortless user searches, and collaborate with cross-functional teams. Leverage your expertise to ensure high uptime and low latency. This high-impact role involves technical and product strategy, operations, architecture, and execution for one of the world's largest sites. The role offers a competitive salary and a comprehensive benefits package.

Requirements

• 3-10+ years of industry experience as a machine learning engineer or software engineer developing backend / infrastructure at scale
• Experience in working and building machine learning models using PyTorch or Tensorflow
• Experience working with search & recommender systems and pipelines
• Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python, Golang
• Experienced with GraphQL, REST, HTTP, Thrift or gRPC basics, and the ability to design and implement maintainable APIs. Deep systems level understanding of industry scale recommendation systems
• Experience of developing applications using large scale data stack - e.g. Kubeflow, Airflow, BigQuery, GraphQL, Kafka, Redis etc

Responsibilities

• Develop and enhance Search Retrievals and Ranking models - from optimizing lexical search (e.g. SOLR tuning) to designing and iterating on semantic models and ranking systems
• Design and build pipelines and algorithms that make it effortless for users to find high-quality answers - whether it's recommendations for the best hiking trail, travel advice, or reviews of the next product or restaurant
• Collaborate with product managers, data scientists, ML modelers and platform engineers to build a state of the search recommender system
• Develop and test new components in our pipelines, deploying ML models, integrating LLMs, and ensuring effective monitoring and product integration
• Leverage your technical expertise to ensure our pipelines maintain high uptime and low latency, while collaborating with other technical leaders to develop a long-term roadmap that aligns with the needs of a constantly evolving search product ecosystem

Benefits

• Comprehensive Healthcare Benefits
• 401k Matching
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation (please use them!) & Reddit Global Wellness Days
• 4+ months paid Parental Leave
• Paid Volunteer time off
• Medical, dental, and vision insurance
• 401(k) program with employer match
• Generous time off for vacation
• Parental leave