Software Engineer, ML Search
Job in
Myrtle Point, Coos County, Oregon, 97458, USA
Listed on 2025-12-14
Listing for:
Reddit
Full Time
position Listed on 2025-12-14
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, Software Engineer, Backend Developer, AI Engineer
Job Description & How to Apply Below
Location: Myrtle Point
Employer Industry: Social Media and Technology
Why consider this job opportunity:- Salary up to $322,000
- Comprehensive healthcare benefits, including medical, dental, and vision insurance
- Flexible vacation policy and Reddit Global Wellness Days
- Opportunity for personal and professional development with dedicated funds
- 4+ months of paid parental leave and paid volunteer time off
- Remote-friendly work environment with the option to work from physical office locations
- Own pipelines and directed acyclic graphs (DAGs) that move data, features, embeddings, and models through the machine learning lifecycle
- Design and 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 machine learning engineers depend on for training, deploying, and iterating on models
- Ensure pipelines and systems support high scale, low latency, and operational excellence
- 8+ years of industry experience focusing on search and recommendation systems
- 6+ years of experience in designing, building, and iterating large-scale search relevance and infrastructure systems
- Proven track record in delivering large and complex systems with significant business impacts
- Knowledge and experience working with search systems (e.g., Lucene, Solr, Elastic Search, Open Search)
- Proficient in object-oriented programming (Python, Golang) and API design and integration with Graph
QL, REST, HTTP, Thrift, or gRPC
- Experience developing applications using large-scale data stacks such as Kubeflow, Airflow, Big Query, Kafka, Kubernetes, and Redis
- Demonstrated expertise in cross-functional collaboration on large-scale projects with complex dependencies
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