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 & Recommendation Relevance team focuses on delivering the most relevant results when users search for anything on Reddit. Our systems and algorithms operate on the world's largest corpus of human conversation, showcasing the best answers and diverse opinions from all across Reddit on any topics - whether it's recommendations for the best hiking trail, travel advice, or reviews of the next product or restaurant. To achieve this, our Search Recommendation systems need to be built for maintainability, scalability, and low latency in mind.
As a Staff Software Engineer, ML Search, you’ll build backend and pipeline systems that turn models into real search experiences for 110M+ daily users, owning data flows, ranking and retrieval services, and low-latency model-serving APIs. You’ll integrate models into production through robust interfaces and DAGs, enabling fast iteration and powering discovery across the internet’s largest community platform.
Responsibilities:
- Own pipelines and DAGs that move data, features, embeddings, and models through the ML lifecycle
- Design/maintain ranking and retrieval services that run models in real-time
- Build scalable model-serving APIs, ensuring reliability, efficiency, and performance
- Create reusable infrastructure that other MLEs depend on to train, deploy, and iterate on models
- Ensure pipelines and systems support high scale, low latency, and operational excellence
- Enable modeling with better systems, features, and deployment pathways
Qualifications:
- 8+ years of industry experience with a focus on search and recommendation systems.
- 6+ years of experience in designing, building and iterating large-scale search relevance and infrastructure systems, handling end-to-end system development.
- Proven track record in delivering large and complex systems with big business impacts.
- Knowledge and experience working with search systems (e.g. Lucene, Solr, ElasticSearch, Opensearch etc.).
- Demonstrated expertise at cross-functional collaboration - successfully shipped several large-scale projects with complex dependencies across teams.
- Proficient in object-oriented programming (Python, Golang).
- Experience in API design and integration with GraphQL, REST, HTTP, Thrift or gRPC.
- Experience of developing applications using large-scale data stack - e.g. Kubeflow, Airflow, BigQuery, Kafka, Kubernetes, 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
#LI-DB1 #LI-Remote
