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Senior Staff Machine Learning Systems Engineer, Feed Relevance
Vaga remota de Machine Learning com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis1 país aceito
Sinal de senioridadeLead
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Senior Staff Machine Learning Systems Engineer, Feed Relevance
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Details
- Architect High-Performance Retrieval: Partner with platform teams to design and implement flexible, ultra-low-latency candidate retrieval solutions that balance discovery with computational efficiency.
- Optimize the Serving Lifecycle: Design and build "contributor-friendly" serving pipelines that allow backend and product engineers to safely inject logic and features without needing deep ML expertise.
- Build Predictive Reliability: Lead the development of sophisticated shadow-testing infrastructure to evaluate distribution shifts and system performance at scale before code ever hits production.
- Drive Cross-Stack Integration: Collaborate across the stack—from GraphQL layers to upstream infrastructure—to ensure the feed’s architecture is resilient, maintainable, and extensible.
- Performance Engineering: Identify bottlenecks in the feed's ecosystem and implement systemic fixes that improve the user experience.
- 10+ years of experience in backend software engineering, with a focus on architecting and scaling high-throughput, low-latency distributed systems for personalization or recommendation engines
- Expert-level understanding of distributed systems, including real-time data pipelines, advanced caching strategies (e.g., Redis, Memcached), and storage layer optimization
- Proven ability to lead technical strategy across organizational boundaries, partnering with Infrastructure and Platform teams to build extensible, "contributor-friendly" architectures
- Adept at navigating complex system trade-offs, such as balancing architectural resilience and latency with the evolving needs of machine learning models
- Strong communicator and mentor who leads through collaboration and technical excellence, with experience influencing best practices across a large engineering organization
- 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
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