- Страна
- Канада
- Зарплата
- 270 000 $ – 320 000 $
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Senior Manager, Applied AI Research
Отличная вакансия в одной из самых перспективных компаний в сфере AI-инфраструктуры. Высокая зарплата, работа напрямую с сооснователем и возможность влиять на развитие технологий мирового уровня делают это предложение крайне привлекательным для лидеров в области ML.
Сложность вакансии
Высокая сложность обусловлена необходимостью сочетать глубокую экспертизу в области LLM и RLHF с управленческим опытом и готовностью к написанию кода (роль player-coach). Работа в быстрорастущем стартапе требует умения справляться с неопределенностью и эффективно взаимодействовать с кросс-функциональными командами.
Анализ зарплаты
Предлагаемый диапазон $270k–$320k соответствует верхнему сегменту рынка для позиций Senior Manager в области AI Research в Сан-Франциско. Это выше среднего уровня для обычных ML-менеджеров, что отражает высокую планку требований и престижность компании.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Manager, Applied AI Research position at Snorkel AI. With over five years of experience in applied machine learning and a proven track record of leading technical teams, I have consistently focused on bridging the gap between cutting-edge research and production-ready AI systems. My background in developing agentic workflows and working with large language models aligns perfectly with Snorkel's mission to transform expert knowledge into specialized AI through data-centric methods.
Throughout my career, I have thrived in fast-paced environments where I could act as a 'player-coach,' balancing strategic leadership with hands-on technical contribution. I am particularly drawn to Snorkel's unique approach to human-in-the-loop systems and programmatic data labeling. I am eager to bring my expertise in RLHF and automated evaluation to help scale your research-driven workflows and contribute to the development of the next generation of foundation models.
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Описание вакансии
About Snorkel
At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.
We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
The Role
You will be responsible for developing cutting-edge human-in-the-loop systems that move beyond labeling to guiding experts on complex, multi-step tasks. From rapidly prototyping and testing methods with 1000s of users to innovating core data-centric methods, you will have the opportunity to lead how data that powers the next generation of frontier models is created and curated.
What You’ll Do
- Team Building & Leadership: Recruit for and lead a team of applied researchers, setting the team’s culture and setting a high standard for quality and velocity
- The Research-to-Product Bridge: Act as the primary link between Research, Product, and Engineering. You will oversee the development of experimental POCs to improve workflow efficiencies and ensure these innovations are successfully hardened and integrated into the platform
- Frontier Data Research: Collaborate with academic and industry-leading AI labs to define the data-centric techniques that will help power the next generation of foundation models.
- Strategic Roadmapping: Anticipate the next bottlenecks in the AI data (e.g., automated RLHF, agentic evaluation, or specialized model alignment) and pivot the team to develop the programmatic solutions that address them
- Operational Excellence: Partner with the Operations team to validate research-driven workflows in real-world production environments, ensuring they scale across diverse and complex domain-specific tasks
What We’re Looking For
- 5+ years of experience in applied AI, research or machine learning roles, with at least 4+ years of experience managing technical teams
- A player coach who is willing to be hands-on with coding, research, customer-facing engagements
- A proven track record of thriving in fast-paced, ambiguous environments, comfortable managing competing priorities across cross-functional stakeholders in Product, Engineering, and GTM
- Enjoys solving real-world problems in the data space and bridging research and production
- Strong, practical experience working with LLMs, agentic workflow
- Bonus: Experience with data annotation workflows and/or building internal tooling for them
Location: Bay Area (Hybrid or In-Office)
Reports to: Head of Research (Co-founder)
Salary Range
$270,000—$320,000 USD
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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Навыки
- Python
- Machine Learning
- Large Language Models
- RLHF
- Applied Research
- Data Labeling
- AI Agents
- Product Management
Возможные вопросы на собеседовании
Роль требует опыта управления техническими специалистами в условиях высокой неопределенности.
Расскажите о случае, когда вам пришлось менять приоритеты исследовательской команды в середине проекта из-за изменения бизнес-целей. Как вы управляли ожиданиями команды?
Вакансия предполагает роль 'player-coach', связывающую исследования и продукт.
Как вы определяете момент, когда исследовательский прототип (POC) готов к передаче в разработку для интеграции в основной продукт? Приведите пример.
Snorkel фокусируется на программном подходе к данным.
Каковы, по вашему мнению, основные ограничения современных методов RLHF и как программные решения могут помочь их преодолеть?
Вакансия упоминает агентные рабочие процессы.
С какими основными трудностями вы сталкивались при оценке производительности агентных систем (agentic workflows) и как вы их решали?
Позиция подразумевает активный наем.
Каковы ваши ключевые критерии при найме прикладных исследователей в команду, работающую на стыке науки и продукта?
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- Страна
- Канада
- Зарплата
- 270 000 $ – 320 000 $