Skills & Technologies
Requirements
- Experience
- 10+ years
Benefits
Joblaze summary
In this role, the Senior Staff Software Engineer will spearhead the development of advanced machine learning indexing and retrieval systems, overseeing the entire process from concept to deployment. The position requires proficiency in programming languages like Go, Java, or Python, along with experience in large-scale data platforms and cloud-native architectures using tools such as Kubernetes and AWS. Ideal candidates will have over a decade of software engineering experience, including significant leadership in distributed systems. The role is part of a dynamic team focused on enhancing Reddit's core infrastructure to support its vast user base.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Reddit's career page.
- Reddit has 172 other open roles including Client Account Manager, Large Customer Sales (Financial Services), Client Account Manager, Large Customer Sales (Financial Services), Client Account Manager, Large Customer Sales (Financial Services).
- 2483 active Python roles on Joblaze right now.
- 1273 active AWS roles on Joblaze right now.
- 1098 active Kubernetes roles on Joblaze right now.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
Quick facts
- Is the Senior Staff Software Engineer, Indexing & Retrieval Platform role remote?
- Yes — Reddit lists this as a fully remote position.
- What's the salary range?
- Reddit lists $279,200–$390,900 for this role.
- How much experience is required?
- At least 10 years of relevant experience for this Senior Staff Software Engineer, Indexing & Retrieval Platform role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Spark, Milvus, Java, Go, Vespa.
- What seniority level is this role?
- Reddit targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Staff Software Engineer, Indexing & Retrieval Platform role at Reddit.
From the original posting
Team
The ML Indexing & Retrieval Platform team at Reddit is responsible for building and scaling the core infrastructure that powers machine learning driven recommendations. We design and maintain systems for ML data ingestion, low-latency retrieval services, and end-to-end lifecycle management of data. With a focus on performance, reliability, and scalability, we enable real-time access to high-quality data that supports a wide range of applications, including Content Understanding, Semantic, Lexical retrieval & GenAI applications.
How You'll Have Impact
You’ll lead the development of next-generation ML Indexing & Retrieval systems, owning the full lifecycle from ideation to production and going beyond incremental improvements to reimagine core platform capabilities. As part of a high-impact, cross-functional team, you’ll solve complex technical challenges to build scalable, reliable platforms that empower developers to efficiently ship critical ML features.
Languages: Go, Java, Python, or any object oriented programming language
Frameworks: Flink, Airflow, Spark for large scale batch & stream processing
Databases: Familiarity with Vector, Lexical & Key-Value Databases
Tools: Kubernetes, Docker, AWS, GCP
What You’ll Do
- Lead the technical strategy, architecture, and implementation of Reddit’s next-generation ML Indexing & Retrieval engine, integrating 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 the needs of Reddit’s growing user base and diverse content ecosystem.
Who You Might Be:
- 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.
- Adept at translating complex technical challenges into clear, actionable strategies.
- Strong communicator and mentor who leads through collaboration, influence, and technical excellence.
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-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 salary 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.
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