В Glean можно работать над востребованным корпоративным AI-продуктом, но сочетание широких задач по full-stack и распределённым системам с длинным списком требований к ML затрудняет понимание основного фокуса роли.
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Широкий круг задачВостребованный AI-сегментЗрелый продуктБюджет на развитие
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer (AI): Building scalable enterprise search and Work AI systems across distributed systems, data pipelines, APIs, and user interfaces with an accent on secure data ingestion, machine learning, and fault-tolerant architecture. Focus on designing full-stack applications, implementing search indexes and enterprise interfaces, and tuning high-scale systems for reliable customer-facing performance.
Location: Mountain View, California, United States; telecommuting is an option.
Salary: $215,000–$278,900 annually.
Company
Glean builds a Work AI platform with enterprise search, an AI Assistant, scalable AI agents, SaaS connectors, and APIs for secure enterprise knowledge discovery and automation.
What you will do
Design, develop, and maintain full-stack applications spanning front-end interfaces, REST APIs, and application servers.
Build large-scale, fault-tolerant distributed systems, including performance benchmarking and tuning on Linux-based systems.
Understand customer requirements, collaborate with product teams, and deliver high-quality features that satisfy those requirements.
Implement data ingestion pipelines from enterprise data sources and build secure search indexes using C++, Java, Python, or Go.
Design enterprise search interfaces and APIs for building additional search-based applications.
Requirements
Master's degree in Computer Science, Computer Engineering, Engineering, or a closely related field; a suitable combination of education, training, and experience is acceptable.
Experience with Machine Learning and Deep Learning.
Experience with Machine Learning Operations (MLOps).
Experience with Python, PyTorch, TensorFlow, Anomaly Detection, and Scikit-learn.
Experience with AWS, NLP, Security, and data engineering.
Culture & Benefits
Telecommuting is available for the role.
Medical, vision, and dental coverage, a generous time-off policy, and access to a 401k plan.
Home office improvement, annual education, and wellness stipends.
Regular company events and healthy lunches.
Commitment to an inclusive and diverse workplace.
Hiring process
Submit a resume with references through the application button or by email.
Complete a brief AI-focused exercise or discussion during the interview process.
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