Applied Researcher

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

eBay, Inc. seeks Applied Researcher 1 in San Jose, CA

• Investigate, prototype, and evaluate state-of-the-art algorithms for time-series anomaly detection, forecasting, log pattern recognition, and graph analysis specifically tailored for observability data.
• Architect and design highly scalable, resilient, and cost-efficient distributed systems for ingesting, processing, storing, and querying massive volumes (petabytes/day) of observability data.
• Implement and operationalize analytical models and systems that correlate signals across diverse observability data (metrics, logs, traces, events) to facilitate automated or semi-automated root cause analysis of production incidents.
• Develop and optimize algorithms and systems for analyzing distributed tracing data using graph theory and graph database technologies to understand service dependencies, critical paths, and performance impacts.
• Design and refine systems for advanced alerting that minimize noise, automatically correlate related events, and deliver enriched context to on-call engineers, potentially using sophisticated data analysis techniques.
• Engineer and optimize software components for real-time processing, aggregation, and enrichment of high-throughput observability data streams.
• Potentially contribute improvements or research findings back to relevant open-source observability projects or develop internal frameworks/libraries to standardize observability practices.
• Create detailed technical documentation for system designs, algorithms, and operational procedures.
• Present research findings, system designs, and results to internal teams and potentially the broader technical community.
• Partial telecommuting permitted from within a commutable distance.

Minimum Requirements:

Master’s degree, or foreign equivalent, in Computer Science, Information Technology, or a closely related field plus two years of experience in the job offered or a related occupation.

• Designing, building, and analyzing complex distributed systems (at least 2 years)
• Systems programming and scripting using Go, Java, and Python (at least 2 years)
• Observability and monitoring using Prometheus, Loki, Jaeger/Tempo, Grafana, and Kubernetes (at least 2 years)
• Large-scale data storage and querying systems (Click House, Hadoop ecosystem) (at least 2 years)
• Practical experience in one or more of time-series analysis, graph algorithms/analytics, statistical modeling and analysis techniques (including areas like anomaly detection, forecasting, pattern recognition/clustering) (at least 2 years)

Salary: $- per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave).

Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary…