Member of Technical Staff – Backend Engineer, Copilot Memory and Personalization
Job Description
- Design and build large-scale Copilot memory and personalization systems leveraging search, embeddings, retrieval, ranking, and Retrieval-Augmented Generation (RAG).
- Apply subject-matter expertise in cross-product features, collaborating with appropriate stakeholders to drive project plans, release plans, and deliverables across multiple groups
- Hold accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
- Proactively seek out new knowledge and adapt to new trends, technical solutions, and patterns that improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and share knowledge with other engineers.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Navigate ambiguity and clear roadblocks to deliver solutions quickly and iteratively, ensuring they reach users effectively.
- Embody our culture and values
- Bachelor's Degree in Computer Science or related technical field AND 4 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, JavaScript, or Python OR equivalent experience.
- Bachelor's Degree in Computer Science OR related technical field AND 8 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, JavaScript, OR Python OR Master's Degree in Computer Science or related technical field AND 6 years technical engineering experience with coding in languages including, but not limited to, C, C , C#, Java, JavaScript, or Python OR equivalent experience.
- Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
- Experience building and deploying machine learning or large language model (LLM) applications at scale.
- Experience designing and implementing large-scale embedding, retrieval, and ranking systems.
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