5 дней назад
Machine Learning Engineer, Search Quality (AI)
140 000 - 265 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer, Search Quality (AI): Building and improving search and assistant systems with an accent on personalization signals, ranking models, domain-adapted language models, and LLM-powered question answering. Focus on designing production-ready machine learning models, combining LLMs with search engines, and shipping robust code for enterprise-scale systems.
Location: Hybrid, with four days per week in the San Francisco office
Salary: $140,000–$265,000 annual base salary, with certain roles eligible for variable compensation, equity, and benefits.
Company
Glean develops a Work AI platform with enterprise search, an AI Assistant, AI agents, SaaS connectors, large language models, and APIs for organizations.
What you will do
- Invent new signals to improve search personalization.
- Train models that capture interactions between signals in the ranking system.
- Design methods for adapting language models to individual customer corpora.
- Combine large language models with search engines to answer complex questions.
- Write readable, maintainable, testable production code.
- Mentor junior engineers and collaborate with experienced engineers.
Requirements
- At least 2 years of professional experience.
- BA/BS in computer science, mathematics, sciences, or a related field.
- Experience with search, recommendation, natural language processing, or other large machine learning systems.
- Strong analytical and data skills, with experience designing, building, and shipping production-ready models.
- Proficiency in an ML framework and strong coding skills in Python, Go, Java, C++, or similar languages.
- Ability to work proactively in a customer-focused, cross-functional environment and take ownership of features.
Culture & Benefits
- Medical, vision, and dental coverage.
- Generous time-off policy and 401(k) contribution option.
- Home office improvement, education, and wellness stipends.
- Regular company events and daily healthy lunches.
- Inclusive workplace focused on diverse backgrounds and perspectives.
Hiring process
- Complete a brief AI-focused exercise or discussion as part of the interview process.
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