Machine Learning Engineer, Search (multiple levels)

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. 

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We are looking for Machine Learning Engineers across multiple levels to shape the future of  Search products at Reddit.

In this role, you will contribute to advancing our current search systems as well as building and iterating on Reddit Answers, our next generation AI-driven search product. As a Machine Learning Engineer, you will:

Role Description:

• 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.  
• 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: 

• 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.
•  

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

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