TL;DR
Member of Technical Staff, Machine Learning Engineer (AI): Developing and optimizing AI/ML solutions for Copilot, with an accent on LLM evaluation, data collection for prompt engineering, fine-tuning, and content classification. Focus on building world-class consumer experiences, mitigating model quality issues, and generalizing ML solutions into repeatable frameworks.
Location: Must be local to the San Francisco area and in office 3 days a week. From January 26, 2026, required to work from a designated Microsoft office at least four days a week if living within 50 miles of that location.
Salary: USD $180,400–$294,000 per year (San Francisco Bay area and New York City metropolitan area, IC5 level)
Company
hirify.global is dedicated to empowering individuals and organizations to achieve more through innovative AI solutions, building on values of respect, integrity, and accountability.
What you will do
- Develop and optimize AI/ML solutions for Copilot, including LLM evaluation, prompt engineering, fine-tuning, and content classification.
- Uncover and mitigate model quality and performance issues in consumer Copilot.
- Oversee data acquisition, ensuring data meets product needs, and generalize ML solutions into repeatable frameworks.
- Lead evaluation efforts of deployed models and contribute to the model quality roadmap.
- Write efficient, readable, and extensible production-quality code and model pipelines.
- Track advances in industry and academia, identifying and adapting relevant state-of-the-art research.
Requirements
- Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and 3+ years data-science experience OR Bachelor’s Degree with 5+ years experience OR Doctorate with 1+ year experience.
- Experience prompting, evaluating, and working with large language models.
- Experience writing production-quality Python code.
Nice to have
- Doctorate in Data Science or related field and 8+ years data-science experience.
- Demonstrated interest in Responsible AI.
Culture & Benefits
- Work with a growth mindset, innovate, and collaborate to achieve shared goals.
- Culture of inclusion, respect, integrity, and accountability.
- Opportunity to build world-class consumer experiences in a fast-paced environment.
- Commitment to a customer-oriented focus.
Будьте осторожны: если вас просят войти в iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →