- Страна
- США
- Зарплата
- 240 000 $ – 300 000 $
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Machine Learning Engineer, AI Assistant & Autonomous AI Agents
Исключительная вакансия в одной из самых инновационных ИИ-компаний мира (Top 10 Fast Company 2025). Высокая зарплата, работа над передовыми технологиями (Agentic AI) и сильный социальный пакет делают это предложение крайне привлекательным для топовых инженеров.
Сложность вакансии
Высокая сложность обусловлена требованиями к опыту уровня Staff/Principal (от 2 лет) и глубокой экспертизе в области LLM-агентов, обучения с подкреплением (RL) и проектирования сложных систем. Роль предполагает лидерство в технической стратегии и работу на стыке прикладных исследований и продакшн-инжиниринга.
Анализ зарплаты
Предлагаемая зарплата ($240k - $300k) находится на верхнем уровне рыночных значений для Senior/Staff ML ролей в Сан-Франциско. С учетом бонусов и опционов, совокупный доход может значительно превышать средние показатели по рынку.
Сопроводительное письмо
I am writing to express my strong interest in the Machine Learning Engineer position at Glean, specifically within the AI Assistant & Autonomous AI Agents team. With over five years of experience in machine learning and a proven track record of shipping production-ready systems, I have closely followed Glean’s evolution from an enterprise search leader to a pioneer in agentic AI. My background in developing LLM orchestration frameworks and optimizing reinforcement learning loops aligns perfectly with your mission to redefine workplace productivity.
In my previous roles, I have focused on building scalable evaluation frameworks and fine-tuning LLMs for complex, multi-step reasoning tasks. I am particularly impressed by Glean’s Enterprise Graph and the way it provides deep context for agentic capabilities. I am eager to bring my expertise in Python and agentic architectures to help Glean continue its trajectory as one of the world’s most innovative companies, ensuring that enterprise AI is not only intelligent but also trusted and secure.
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Описание вакансии
About Glean:
Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles.
At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level.
Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.
If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craft and care required for enterprise trust, as we bring Work AI to every employee, in every company.
About the Role:
Glean is looking for senior engineers who will provide expert-level individual contributions and thought leadership to help us build the next generation of intelligent enterprise AI assistants and autonomous AI agents. We are reimagining how LLMs and agents can reason, plan, and act to solve complex, multi-step enterprise workflows. You will work at the intersection of applied research and production engineering in areas such as agentic frameworks, LLM orchestration, low latency LLM inference and optimization, domain adapted and memory augmented LLMs, reinforcement learning, building evaluation frameworks for complex enterprise tasks. We work closely with our customers, deeply understand their pain points, and use the right mix of research-driven and pragmatic engineering approaches to solve them.
You will:
- Build frameworks for LLM-powered agents to use tools and knowledge sources effectively
- Invent new agentic architectures and signals to improve reasoning, planning, and personalization in workplace AI assistants
- Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of agentic systems
- Lead development of scalable evaluation, benchmarking, and optimization loops for agents in production
- Drive technical strategy and mentor other engineers, raising the technical bar across the team
- Write robust, maintainable, and well-tested code that powers enterprise-grade assistants and agents
About you:
- 2+ years as a Staff Engineer, Principal Engineer, or equivalent
- 5+ years of industry experience in AI or Machine Learning Engineering
- Experience working with agentic frameworks, reinforcement learning, natural language processing, or other large systems involving machine learning
- Proven ability to design, build, and ship production-ready systems
- Proficiency in your ML framework of choice
- Strong coding skills (Python, Go, Java, C++, ...)
- Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company
- A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features
Location:
- This role is hybrid (3-4 days a week in one of our SF Bay Area offices)
Compensation & Benefits:
The standard base salary range for this position is $240,000 - $300,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
#LI-HYBRID
AI-First Mindset at Glean:
At Glean, AI fluency is core to how we work and we're committed to ensuring every new hire feels confident integrating AI into their everyday work. As part of the interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about, design, and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today — prior Glean experience isn't required.
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Навыки
- Python
- Go
- Java
- C++
- Machine Learning
- LLM
- Reinforcement Learning
- Natural Language Processing
- Agentic Frameworks
- LLM Orchestration
- Evaluation Frameworks
Возможные вопросы на собеседовании
Проверка опыта проектирования сложных систем с использованием LLM.
Опишите архитектуру агента, которую вы разработали для решения многошаговой задачи. Как вы обрабатывали ошибки планирования и циклы в рассуждениях?
Оценка навыков оптимизации и работы с RL.
Какие подходы к Reinforcement Learning вы бы применили для улучшения качества ответов ИИ-ассистента на основе обратной связи пользователей в реальном времени?
Проверка понимания специфики корпоративных данных.
Как обеспечить эффективное использование инструментов (tool-use) агентом в условиях огромного графа знаний предприятия с учетом прав доступа и безопасности?
Оценка навыков оценки качества (Evaluation).
Как вы строите систему автоматизированной оценки (benchmarking) для автономных агентов, когда 'правильный' ответ не всегда детерминирован?
Проверка лидерских качеств.
Расскажите о случае, когда вам пришлось принимать стратегическое техническое решение в условиях неопределенности. Как вы убедили команду и каков был результат?
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- Страна
- США
- Зарплата
- 240 000 $ – 300 000 $