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- США
- Зарплата
- 240 000 $ – 270 000 $
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Senior AI/ML Engineer
Исключительно привлекательная вакансия с высокой зарплатой, значительным финансированием (Series D) и возможностью работать над передовыми AI-технологиями. Наличие опционов и работа в офисе в Нью-Йорке добавляют ценности для опытных специалистов.
Сложность вакансии
Высокая сложность обусловлена требованием к опыту работы более 10 лет и необходимостью глубоких знаний в области адаптации базовых моделей и создания AI-агентов. Роль предполагает работу на стыке UX и сложных ML-инфраструктур в быстрорастущем стартапе.
Анализ зарплаты
Предлагаемая зарплата ($240k - $270k) находится на верхнем уровне рыночного диапазона для Senior/Staff AI инженеров в Нью-Йорке. Это соответствует статусу высокотехнологичной компании после успешного раунда финансирования.
Сопроводительное письмо
I am writing to express my strong interest in the Senior AI/ML Engineer position at Sigma Computing. With over a decade of experience in building production-grade machine learning systems and a deep background in adapting foundation models, I am excited by Sigma’s mission to reshape how enterprises interact with data through intuitive AI interfaces and agentic workflows.
In my previous roles, I have successfully led the development of complex AI systems from data curation to deployment and monitoring. I am particularly drawn to Sigma’s unique approach of combining a spreadsheet-like interface with powerful cloud data warehouse connectivity. My expertise in building agents that can plan and reason, combined with my experience in high-growth environments, aligns perfectly with your goal of pushing the boundaries of BI and data applications.
I am eager to bring my technical leadership and passion for applied AI to your team in New York City. Thank you for considering my application. I look forward to the possibility of discussing how my skills can contribute to Sigma’s continued innovation and growth following your recent Series D funding.
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Откликнитесь в sigmacomputing уже сейчас
Присоединяйтесь к Sigma, чтобы создавать будущее аналитики данных с помощью передовых AI-агентов и масштабных ML-систем!
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
- Artificial Intelligence
- LLM
- AWS
- Google Cloud Platform
- Azure
- Python
- SQL
- MLOps
Возможные вопросы на собеседовании
Вакансия требует 10+ лет опыта; важно понять, как кандидат справлялся с техническим долгом и масштабированием в долгосрочной перспективе.
Расскажите о самом сложном AI-проекте, который вы довели до продакшена. С какими неожиданными проблемами масштабирования вы столкнулись через год после запуска?
Sigma фокусируется на 'agentic workflows'. Этот вопрос проверяет практический опыт в актуальной области.
Как бы вы спроектировали систему AI-агентов для BI-платформы, которая должна уметь планировать многошаговые задачи и использовать внешние инструменты (tool use)?
Роль подразумевает работу с огромными объемами данных в облачных хранилищах.
Какие стратегии оптимизации задержки (latency) вы применяете при внедрении LLM в интерфейсы, работающие с миллиардами строк данных в реальном времени?
Вакансия упоминает адаптацию foundation models для новых доменов.
В каких случаях вы предпочтете дообучение (fine-tuning) модели, а в каких — использование RAG (Retrieval-Augmented Generation) для специфических доменных данных Sigma?
Работа в Sigma требует тесного взаимодействия с дизайнерами для решения проблем UX на стыке AI и BI.
Опишите случай, когда вам приходилось изменять архитектуру ML-модели из-за ограничений или требований пользовательского интерфейса.
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- Страна
- США
- Зарплата
- 240 000 $ – 270 000 $