- Страна
- США
- Зарплата
- 240 000 $ – 270 000 $
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Staff AI/ML Engineer
Отличная позиция в компании с серьезным финансированием (Series D) и высокой оценкой. Предлагается конкурентная зарплата, опционы и возможность влиять на продукт, которым пользуются тысячи предприятий.
Сложность вакансии
Роль уровня Staff требует более 10 лет опыта и глубоких знаний в области жизненного цикла ML, включая обучение базовых моделей и создание агентных систем. Высокая планка обучена необходимостью работать в быстрорастущем стартапе над сложными задачами на стыке UX и AI.
Анализ зарплаты
Предлагаемый диапазон $240k - $270k полностью соответствует рыночным стандартам для позиции Staff Engineer в Нью-Йорке, особенно в секторе высокотехнологичных стартапов. С учетом опционов и бонусов совокупный доход может значительно превышать медиану.
Сопроводительное письмо
I am writing to express my strong interest in the Staff AI/ML Engineer position at Sigma Computing. With over a decade of experience in building production-grade machine learning systems and a deep passion for transforming how users interact with data, I am excited by Sigma’s mission to integrate agentic workflows and foundation models into its spreadsheet-like interface. My background in scaling AI infrastructure and deploying complex recommendation and search systems aligns perfectly with your goal of building an AI foundation for thousands of enterprises.
In my previous roles, I have successfully led the transition from prototype to production for high-impact AI features, often working at the intersection of novel UX and deep technical backend challenges. I am particularly drawn to Sigma's recent Series D success and the opportunity to work in a fast-paced, high-growth environment where AI is not just an add-on, but a core driver of product innovation. I am confident that my expertise in foundation models and cloud infrastructure will contribute significantly to your engineering team in New York.
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Откликнитесь в sigmacomputing уже сейчас
Присоединяйтесь к Sigma, чтобы создавать будущее BI-платформ на базе ИИ в самом сердце Нью-Йорка!
Описание вакансии
About the Role
At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast.
That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma.
What You’ll Do
- Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities
- Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more
- Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features
- Tackle novel UX problems at the intersection of AI, BI, and apps
What You Bring
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required)
- 10+ years of experience building and deploying production-grade AI/ML systems
- Deep knowledge of machine learning, deep learning, and applied AI
- Experience across the full ML lifecycle: data curation, training, deployment, monitoring
- A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex
- Experience adapting or training foundation models (language or multimodal) for novel domains
Bonus Points (or skills you’ll build here)
- You've built agents that can plan, reason, and use tools
- You know your way around cloud infrastructure (AWS, GCP, Azure)
- You’ve worked in a fast-moving startup or high-growth environment
Additional Job details
The base salary range for this position is $240k - $270k annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.
About us:
Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.
Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.
Come join us!
Benefits For Our Full-Time Employees:
- Equity
- Generous health benefits
- Flexible time off policy. Take the time off you need!
- Paid bonding time for all new parents
- Traditional and Roth 401k
- Commuter and FSA benefits
- Lunch Program
- Dog friendly office
Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, and London.
Our Privacy Practices
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada).
Sigma’s use of AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
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Навыки
- Machine Learning
- Deep Learning
- Python
- SQL
- AWS
- Google Cloud Platform
- Azure
- Large Language Models
- AI Infrastructure
- MLOps
Возможные вопросы на собеседовании
Проверка опыта проектирования сложных систем, что критично для уровня Staff.
Расскажите о самом сложном AI-проекте, который вы довели до продакшена: с какими архитектурными вызовами вы столкнулись при масштабировании?
Вакансия упоминает 'agentic workflows', что является передовым краем разработки.
Как бы вы спроектировали систему ИИ-агентов для BI-платформы, способную планировать действия и использовать инструменты (tool use) для анализа данных?
Sigma работает с огромными объемами данных в реальном времени.
Какие стратегии оптимизации задержки (latency) вы применяете при развертывании крупных языковых моделей (LLM) в пользовательских интерфейсах?
Роль подразумевает тесное сотрудничество с продуктовыми командами.
Как вы балансируете между внедрением инновационных ИИ-технологий и необходимостью создания интуитивно понятного UX для бизнес-пользователей?
Проверка навыков работы с данными, специфичных для домена компании.
Опишите ваш опыт адаптации или дообучения (fine-tuning) базовых моделей для работы со специфическими доменами данных, такими как SQL или табличные структуры.
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- Страна
- США
- Зарплата
- 240 000 $ – 270 000 $