Senior Staff Machine Learning Systems Engineer, Indexing & Retrieval
New
R
RedditMachine Learning
Remote - United StatesFull-TimeStaff
Salary$279,200 — $390,900 USD
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Job Details
- Experience
- 10+ years of experience in software engineering, 3+ years in technical leadership
- Required Skills
- AWSPythonGCPJavaKubernetesMachine LearningGoDistributed Systems
Requirements
- 10+ years of experience in software engineering, specializing in Indexing and Retrieval systems.
- 3+ years in technical leadership, architecting and scaling distributed systems in production environments.
- Deep expertise in large-scale data platforms, including batch indexing and stream processing.
- Proven experience designing and operating large-scale, low-latency retrieval services.
- Expertise in lexical and vector search retrieval technologies, such as Milvus, Vespa, or Elasticsearch.
- Skilled in designing cloud-native architectures and managing containerized workloads using Kubernetes and AWS/GCP.
- Proficiency in Go, Java, or Python.
- Familiarity with Flink, Airflow, and Spark for large-scale batch and stream processing.
- Familiarity with Vector, Lexical, and Key-Value databases.
- Strong communicator and mentor who leads through collaboration, influence, and technical excellence.
- Adept at translating complex technical challenges into clear, actionable strategies.
Responsibilities
- Lead the technical strategy, architecture, and implementation of Reddit’s next-generation ML Indexing & Retrieval engine.
- Integrate capabilities across lexical and vector indexing, low-latency retrieval, and emerging GenAI applications.
- Partner closely with product engineers across Content Understanding, Search, Feeds, Ads, Growth, and Safety to deliver high-quality experiences.
- Define best practices for observability, reliability, and operational excellence in large-scale distributed systems.
- Mentor and guide engineers in designing scalable infrastructure and adopting robust DevOps and SRE principles.
- Collaborate with infrastructure and ML teams to ensure the platform evolves to meet Reddit’s diverse content ecosystem.
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