Machine Learning Engineer, Search & Answers

About Reddit

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. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com.

Location

This role is completely remote-friendly. If you happen to live close to one of our physical office locations, our doors are open for you to come into the office as often as you'd like.

Team Description: Search and Answers

The Search and Answers team at Reddit focuses on delivering the most relevant results and recommendations when users search for anything on Reddit. We provide this content to users in the form of Reddit Search and through Reddit Answers, our new gen AI product. Our systems and algorithms operate on the world's largest corpus of human conversation, showcasing the best answers, opinions, and communities from all across Reddit on any topics, empowering discovery.

Role Description: Machine Learning Engineer, Search & Answers

We are looking for Machine Learning Engineers across multiple levels to shape the future of Search and Answers products at Reddit. As a Machine Learning Engineer, Search & Answers, you will:

• Develop and enhance our Search Retrieval process - from optimizing lexical search (e.g. SOLR tuning) to designing and iterating on models for semantic retrieval.
• Train the latest and greatest ranking models that can learn across multiple objectives and display the most relevant results across numerous search intents.
• Build and deploy Query Understanding systems using state-of-the-art ML models, small language models, and the newest LLMs for gen AI workflows.
• Use LLMs with Prompt Engineering, Fine Tuning, and other advanced gen AI techniques to build and iterate on Reddit Answers, all while keeping low latencies and top of the line quality!
• Generate features at the intersection of AI/ML and UI that provide users with useful information about the relevance of search results.
• Leverage your technical expertise to ensure our pipelines have robust monitoring, high uptime and low latency, while collaborating with other technical leaders, product managers, data scientists, ML modelers, and platform engineers to develop a long-term roadmap that aligns with the needs of a constantly evolving product ecosystem.

This is a high-impact role where you will be involved in technical & product strategy, operations, architecture, and execution for one of the largest sites in the world.

Required Qualifications

• 5-10+ years of industry experience as a machine learning engineer.
• Experience in building and productionizing machine learning models using PyTorch or Tensorflow.
• Experience working with search & recommender systems or query understanding systems at scale.
• 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.

Benefits

• 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 Benefits.
• Flexible Vacation & Paid Volunteer Time Off.
• Generous Paid Parental Leave.

Key skills/competency

• Machine Learning
• Search Retrieval
• Ranking Models
• Query Understanding
• Generative AI / LLMs
• PyTorch / TensorFlow
• Python / Golang
• Distributed Systems
• API Design (GraphQL, REST, gRPC)
• Data Pipelines (Kubeflow, Airflow, BigQuery)