Staff Software Engineer, ML Search at Reddit

, , United States -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

322000.0

Posted On

12 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Search Systems, Recommendation Systems, Large-Scale Systems, Object-Oriented Programming, API Design, GraphQL, REST, HTTP, Thrift, gRPC, Data Stack, Kubeflow, Airflow, BigQuery, Kafka, Kubernetes, Redis

Industry

Social Networking Platforms

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 116 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: 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 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. The base pay range for this position is: $23,000—$322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors. 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.

Responsibilities

As a Staff Software Engineer, ML Search, you will build backend and pipeline systems that turn models into real search experiences for over 110 million daily users. You will own data flows, ranking and retrieval services, and low-latency model-serving APIs.