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snorkelai
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США
Зарплата
172 000 $ – 300 000 $
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Applied AI Engineer - AI Solutions

Оценка ИИ

Отличная вакансия в одной из самых инновационных компаний в сфере AI. Высокая зарплата, работа с передовыми технологиями (GenAI, RAG) и возможность влиять на продукт мирового уровня делают это предложение крайне привлекательным.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена необходимостью сочетать глубокие технические знания в области GenAI (RAG, fine-tuning, агенты) с сильными навыками консультирования клиентов и управления стейкхолдерами. Требуется опыт работы с современным стеком Python и готовность к командировкам.

Анализ зарплаты

Медиана220 000 $
Рынок180 000 $ – 280 000 $
Оценка ИИ

Предлагаемый диапазон $172k - $300k OTE полностью соответствует и даже местами превышает рыночные стандарты для Senior/Staff Applied AI ролей в Tier-1 локациях США (SF/NY). Верхняя граница в $300k является очень конкурентоспособной для инженеров с сильным клиентским опытом.

Сопроводительное письмо

I am writing to express my strong interest in the Applied AI Engineer position at Snorkel AI. With a robust background in developing and deploying machine learning solutions and a deep fascination with the data-centric AI movement pioneered at Stanford, I am eager to contribute to the evolution of Snorkel Flow. My experience aligns perfectly with your mission to transform expert knowledge into specialized AI, particularly through the implementation of RAG systems and agentic workflows.

In my previous roles, I have successfully bridged the gap between complex AI research and tangible business value for enterprise clients. I am proficient in the modern Python stack, including FastAPI and PyTorch, and have extensive experience with LLM orchestration tools like LlamaIndex. I am particularly drawn to Snorkel's focus on data development as the key to high-performance AI, and I am confident that my technical expertise and customer-facing skills will help drive successful outcomes for your diverse client base.

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Откликнитесь в snorkelai уже сейчас

Присоединяйтесь к Snorkel AI, чтобы внедрять передовые GenAI решения для крупнейших мировых компаний и определять будущее разработки данных!

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!

About Snorkel

We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, 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!

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them - either by leveraging Snorkel Flow or developing custom approaches when needed. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel Flow’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end.

Main Responsibilities

  • Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform.
  • Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows.
  • Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role.
  • Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow.
  • Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup.
  • Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices.
  • Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI.
  • Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams.
  • Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI.
  • Annual travel up to 25%.

Preferred Qualifications

  • B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience.
  • 3+ years of customer-facing experience in the design and implementation of AI/ML solutions.
  • Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow).
  • Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI).
  • Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement.
  • Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
  • Ability to work in a fast-paced environment and balance priorities across multiple projects at once.

Compensation range for Tier 1 locations of San Francisco Bay Area $172K - $300K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Locations

Redwood City, CA - Hybrid; San Francisco, CA - Hybrid - US; New York, NY - Hybrid

#LI-CG1

Salary Range

$172,000—$300,000 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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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • Python
  • PyTorch
  • Scikit-learn
  • Hugging Face Transformers
  • FAISS
  • Pandas
  • Apache Spark
  • FastAPI
  • Pydantic
  • PyTest
  • Poetry
  • Ray
  • Apache Airflow
  • LlamaIndex
  • LangGraph
  • Chroma
  • Weaviate
  • RAG
  • LLM
  • Generative AI

Возможные вопросы на собеседовании

Проверка понимания основного продукта компании и методологии data-centric AI.

Как бы вы объяснили клиенту преимущество программной разметки данных в Snorkel Flow по сравнению с ручной разметкой для обучения специализированной LLM?

Оценка практического опыта в реализации сложных AI-архитектур.

Опишите ваш опыт внедрения RAG-систем: с какими основными проблемами качества ответов вы сталкивались и как их решали?

Проверка навыков проектирования надежных систем.

Как вы подходите к созданию пайплайнов оценки (evaluation) для генеративных моделей, чтобы гарантировать их надежность перед деплоем в продакшн?

Оценка способности работать с бизнес-требованиями.

Расскажите о случае, когда технические возможности модели не соответствовали ожиданиями бизнеса. Как вы управляли ожиданиями клиента и какое решение предложили?

Проверка инженерной культуры и владения инструментами.

Почему в крупных проектах Applied AI важно использовать инструменты вроде Pydantic и Poetry, и как они помогают в поддержке долгосрочных решений?

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snorkelai
Страна
США
Зарплата
172 000 $ – 300 000 $