[Remote] Machine Learning Engineer, Search and Answers
Note: The job is a remote job and is open to candidates in USA. Reddit is a community of communities, built on shared interests and authentic conversations. They are seeking a Machine Learning Engineer to develop and enhance their Search Retrieval process and build Query Understanding systems using state-of-the-art ML models.
Responsibilities
ā¢ Develop and enhance our Search Retrieval process - from optimizing lexical search (e.g. SOLR tuning) to designing and iterating on models for semantic retrieval
ā¢ Train the latest and greatest ranking models that can learn across multiple objectives and display the most relevant results across numerous search intents
ā¢ Build and deploy Query Understanding systems using state-of-the-art ML models, small language models, and the newest LLMs for gen AI workflows
ā¢ 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!
ā¢ Generate features at the intersection of AI/ML and UI that provide users with useful information about the relevance of search results
ā¢ 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
ā¢ 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
Skills
ā¢ 5-10+ years of industry experience as a machine learning engineer
ā¢ Experience in building and productionizing machine learning models using PyTorch or Tensorflow
ā¢ Experience working with search & recommender systems or query understanding systems at scale
ā¢ Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python, Golang
ā¢ 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
ā¢ Experience of developing applications using large scale data stack - e.g. Kubeflow, Airflow, BigQuery, GraphQL, Kafka, Redis etc
ā¢ Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Engineering, Applied Sciences, Mathematics, Physics, or a related field
ā¢ Engineering leadership experience working across multiple teams
ā¢ At least 2 years of experience working on Ads products and/or growth engineering
ā¢ 5+ years of experience in software engineering
ā¢ Experience coordinating large-scale, cross-functional efforts that span different teams, and driving alignment
ā¢ Experience working with multiple teams in product & design
ā¢ Knowledge of full stack product development practices (Frontend, Mobile, Backend)
ā¢ Experience working on SMB related products/projects
Benefits
ā¢ Comprehensive Healthcare Benefits and Income Replacement Programs
ā¢ 401k with Employer Match
ā¢ Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
ā¢ Family Planning Support
ā¢ Gender-Affirming Care
ā¢ Mental Health & Coaching Benefits
ā¢ Flexible Vacation & Paid Volunteer Time Off
ā¢ Generous Paid Parental Leave
Company Overview
ā¢ Reddit is the heart of the internet, where millions of people get together to talk about any topic imaginable. It was founded in 2005, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.redditinc.com.
Company H1B Sponsorship
ā¢ Reddit, Inc. has a track record of offering H1B sponsorships, with 99 in 2025, 63 in 2024, 76 in 2023, 70 in 2022, 68 in 2021, 39 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now
Responsibilities
ā¢ Develop and enhance our Search Retrieval process - from optimizing lexical search (e.g. SOLR tuning) to designing and iterating on models for semantic retrieval
ā¢ Train the latest and greatest ranking models that can learn across multiple objectives and display the most relevant results across numerous search intents
ā¢ Build and deploy Query Understanding systems using state-of-the-art ML models, small language models, and the newest LLMs for gen AI workflows
ā¢ 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!
ā¢ Generate features at the intersection of AI/ML and UI that provide users with useful information about the relevance of search results
ā¢ 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
ā¢ 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
Skills
ā¢ 5-10+ years of industry experience as a machine learning engineer
ā¢ Experience in building and productionizing machine learning models using PyTorch or Tensorflow
ā¢ Experience working with search & recommender systems or query understanding systems at scale
ā¢ Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python, Golang
ā¢ 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
ā¢ Experience of developing applications using large scale data stack - e.g. Kubeflow, Airflow, BigQuery, GraphQL, Kafka, Redis etc
ā¢ Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Engineering, Applied Sciences, Mathematics, Physics, or a related field
ā¢ Engineering leadership experience working across multiple teams
ā¢ At least 2 years of experience working on Ads products and/or growth engineering
ā¢ 5+ years of experience in software engineering
ā¢ Experience coordinating large-scale, cross-functional efforts that span different teams, and driving alignment
ā¢ Experience working with multiple teams in product & design
ā¢ Knowledge of full stack product development practices (Frontend, Mobile, Backend)
ā¢ Experience working on SMB related products/projects
Benefits
ā¢ Comprehensive Healthcare Benefits and Income Replacement Programs
ā¢ 401k with Employer Match
ā¢ Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
ā¢ Family Planning Support
ā¢ Gender-Affirming Care
ā¢ Mental Health & Coaching Benefits
ā¢ Flexible Vacation & Paid Volunteer Time Off
ā¢ Generous Paid Parental Leave
Company Overview
ā¢ Reddit is the heart of the internet, where millions of people get together to talk about any topic imaginable. It was founded in 2005, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.redditinc.com.
Company H1B Sponsorship
ā¢ Reddit, Inc. has a track record of offering H1B sponsorships, with 99 in 2025, 63 in 2024, 76 in 2023, 70 in 2022, 68 in 2021, 39 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply Now
Apply Now