TL;DR
Member of Technical Staff – Principal Platform Engineer (AI): Designing and building large-scale Copilot memory and personalization systems with an accent on AI that remembers, evolves, and grows with each user. Focus on leveraging search, embeddings, retrieval, ranking, and Retrieval-Augmented Generation (RAG) to create deeply personalized and interactive AI experiences at scale.
Location: Mountain View, United States. Employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) of Mountain View.
Salary: USD $139,900 – $331,200 per year.
Company
hirify.global is building systems with true artificial intelligence across agents, applications, services, and infrastructure, aiming to make AI accessible to all consumers, businesses, and developers.
What you will do
- 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 stakeholders to drive project and release plans.
- Act as a Designated Responsible Individual (DRI), mentoring engineers and monitoring system/product/service for degradation or interruptions.
- Proactively seek new knowledge and adapt to trends to improve product availability, reliability, efficiency, observability, and performance.
- Navigate ambiguity and clear roadblocks to deliver solutions quickly and iteratively, ensuring they reach users effectively.
Requirements
- Bachelor’s Degree in Computer Science or related technical field AND 6+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python.
- Must be based in the United States and be able to work from the Microsoft office in Mountain View at least four days a week if living within 50 miles.
- English: B2 required.
Nice to have
- Bachelor’s Degree in Computer Science OR related technical field AND 12+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, OR Python OR Master’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience.
- 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.
Culture & Benefits
- Work in a highly collaborative, fast-paced, design-driven product development cycle.
- Opportunity to innovate to empower others, with a growth mindset.
- Culture of inclusion built on values of respect, integrity, and accountability.
- Access to additional benefits and compensation details via the Microsoft careers page.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →