Member Of Technical Staff – Principal Data Engineer (AI)

TL;DR

Member Of Technical Staff – Principal Data Engineer (AI): Designing and optimizing large-scale data architectures for Microsoft Copilot's memory and personalization, with an accent on reliably capturing, refining, and serving user signals for AI. Focus on building high-quality personalization and memory data pipelines and translating product intent into robust data systems for measurable outcomes.

Location: Hybrid in Mountain View, United States. Employees living within 50 miles of a designated Microsoft office are expected to work from the office at least four days a week.

Salary: USD $139,900–$274,800 per year (general U.S.); USD $188,000–$304,200 per year (San Francisco Bay area and New York City metropolitan area) for IC5. USD $163,000–$296,400 per year (general U.S.); USD $220,800–$331,200 per year (San Francisco Bay area and New York City metropolitan area) for IC6.

Company

hirify.global is building systems with true artificial intelligence across agents, applications, services, and infrastructure, aiming to make AI accessible to all.

What you will do

• Design and evolve large-scale data architectures that support Copilot memory and personalization.
• Build and operate high-quality personalization and memory data pipelines, including signal ingestion, normalization, enrichment, and full lifecycle management.
• Enable memory and personalization features by exposing well-designed datasets, APIs, and feature interfaces for downstream product and ML consumers.
• Work closely with PMs, applied ML, and product engineering to translate product intent into robust data systems and measurable outcomes.
• Act as a technical leader for memory and personalization data systems, influencing architecture and standards across multiple teams.
• Lead design reviews, unblock complex technical problems, and make principled trade-offs in ambiguous spaces.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python.
• English: B2 required.

Nice to have

• Longer technical engineering experience (12+ years with Bachelor's degree or 15+ years with Master's degree) in relevant coding languages.
• 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.
• Ability to thrive in a fast-paced, collaborative environment and make progress in ambiguity.

Culture & Benefits

• A culture of inclusion built on values of respect, integrity, and accountability.
• Opportunities to innovate with a growth mindset, empowering others and realizing shared goals.
• Comprehensive benefits and compensation information available on the careers website.
• An equal opportunity employer committed to providing accommodations for religious needs or disabilities during the application process.