Machine Learning Engineer, Search and Answers
Job Summary
Reddit is looking for Machine Learning Engineers to work on search and recommendation systems, including developing and optimizing search retrieval and ranking models. The role involves collaborating with cross-functional teams to build scalable pipelines, deploy ML models, and enhance AI-driven search features like Reddit Answers. Candidates should have extensive experience in machine learning, backend development, and large-scale data systems, with proficiency in tools such as PyTorch or TensorFlow and API design. This position offers the opportunity to impact one of the largest websites by advancing search relevance and recommendation quality in a remote-friendly environment.
Required Skills
Benefits
Job Description
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 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit 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:
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.
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, you will:
Role Description:
- 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
- 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
#LI-DB1 #LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
A social media platform where users create and participate in communities (subreddits) to discuss a wide range of topics, share content, and connect.
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