Senior Applied Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Applied Scientist (AI): Developing next-generation search capabilities using LLMs, RAG pipelines, and retrieval systems with an accent on LLM post-training and alignment. Focus on optimizing retrieval fidelity, reducing hallucinations, and deploying scalable model improvements in production environments.
Location: Redmond, United States. Employees living within 50 miles are expected to work from the office at least four days per week.
Salary: $119,800 – $234,700 per year
Company
AI develops cutting-edge search and AI technologies, integrating large-scale machine learning models into products like Bing, Office, and Azure.
What you will do
- Design and evaluate novel LLM post-training and alignment methods to improve reasoning quality, safety, and factual grounding.
- Build and optimize retrieval, ranking, and relevance systems integrated with LLM-powered experiences.
- Architect RAG pipelines to enhance retrieval fidelity and reduce hallucinations in production.
- Translate research into production by running experiments and collaborating with engineering partners.
- Mentor junior team members and engage with the academic community to strengthen the recruiting pipeline.
- Collaborate across disciplines to shape the long-term strategy for search and retrieval-augmented systems.
Requirements
- Bachelor's degree in CS, Statistics, Electrical Engineering, or related field with 4+ years of experience (or Master's + 3 years / PhD + 1 year).
- Industry experience applying Machine Learning techniques or Data Analysis applications.
- Experience building large-scale ML systems for search, ads, or recommendation systems utilizing LLMs.
- Strong research background in Machine Learning, LLM, and NLP.
- Must be able to comply with the office attendance policy in Redmond (4 days per week for local residents).
Nice to have
- Advanced academic qualifications: Master's with 6+ years or PhD with 3+ years of related experience.
- Proven track record of identifying and solving novel, complex problems.
Culture & Benefits
- Inclusive work environment based on respect, integrity, and accountability.
- Collaboration with world-leading research groups like Research.
- Opportunity to impact global-scale products across the ecosystem.
- Culture of innovation and growth mindset.
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 →