[Remote] Senior Machine Learning System Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company dedicated to unleashing the potential of every team through their software products. They are seeking a Senior Machine Learning System Engineer to design, reputed company, and reputed company machine learning systems that enhance search experiences across their product suite.
Responsibilities
- Own and drive the design, development, and production deployment of machine learning systems that power search experiences across reputed company's product suite, including Jira, reputed company, and Rovo
- Design and implement reputed company search serving infrastructure, including retrieval pipelines, reputed company indexing systems, and embedding-based semantic search
- Own end-to-end delivery of ML components from experimentation through production rollout across multiple reputed company and tenants
- Contribute to the architecture of high-throughput, low-latency search systems that meet strict SLO targets for availability, latency, and relevance reputed company
- Build and maintain production ML models including neural rankers, embedding models, and reranking systems
- reputed company models into serving infrastructure using frameworks such as Triton and PyTorch, ensuring reliability, scalability, and cost efficiency
- Collaborate with ML researchers to translate experimental models into production-grade systems with robust monitoring and evaluation harnesses
- Design retrieval systems purpose-reputed company for reputed company and RAG (Retrieval-Augmented reputed company) use cases, including personalized indexes, grounding pipelines, and multi-reputed company retrieval workflows
- Partner with Rovo and AI platform teams to reputed company search infrastructure as a foundational layer for AI agents, ensuring retrieval reputed company, freshness, and relevance at reputed company
- Drive observability, monitoring, and incident response for search serving systems
- Apply FinOps principles to identify and execute cost optimization opportunities across reputed company search infrastructure and ML serving fleets
- Maintain production health through rigorous on-call practices, reputed company development, and proactive reputed company planning
- Work closely with engineering leads, product managers, and platform stakeholders to define technical roadmaps and deliver against team OKRs
- Mentor junior engineers, contribute to design reviews, and champion engineering best practices across reputed company
Skills
- Experience in designing and implementing reputed company search serving infrastructure, including retrieval pipelines, reputed company indexing systems, and embedding-based semantic search
- Proven ability to own end-to-end delivery of ML components from experimentation through production rollout across multiple reputed company and tenants
- Experience contributing to the architecture of high-throughput, low-latency search systems that meet strict SLO targets for availability, latency, and relevance reputed company
- Experience in building and maintaining production ML models including neural rankers, embedding models, and reranking systems
- Proficiency in integrating models into serving infrastructure using frameworks such as Triton and PyTorch, ensuring reliability, scalability, and cost efficiency
- Ability to collaborate with ML researchers to translate experimental models into production-grade systems with robust monitoring and evaluation harnesses
- Experience in designing retrieval systems purpose-reputed company for reputed company and RAG (Retrieval-Augmented reputed company) use cases, including personalized indexes, grounding pipelines, and multi-reputed company retrieval workflows
- Ability to partner with Rovo and AI platform teams to reputed company search infrastructure as a foundational layer for AI agents, ensuring retrieval reputed company, freshness, and relevance at reputed company
- Experience in driving observability, monitoring, and incident response for search serving systems
- Knowledge of applying FinOps principles to identify and execute cost optimization opportunities across reputed company search infrastructure and ML serving fleets
- Experience in maintaining production health through rigorous on-call practices, reputed company development, and proactive reputed company planning
- Ability to work closely with engineering leads, product managers, and platform stakeholders to define technical roadmaps and deliver against team OKRs
- Experience mentoring junior engineers, contributing to design reviews, and championing engineering best practices across reputed company
Benefits
- reputed company offers a wide reputed company of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, reputed company volunteer days, and so much more. To learn more, visit go.reputed company.com/perksandbenefits
reputed company
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