Datadog

Staff Software Engineer - ML Observability

Lead · Гибрид · Boston, США · Английский B2

Навыки

  • AI-инструменты в работе
  • Отладка и поиск ошибок
  • Распределённые системы
  • Jaeger / OpenTelemetry
  • LLM
  • Machine Learning
  • Мониторинг и observability
Ещё 2
  • Prompt engineering
  • UX-дизайн

О компании и продукте

  • Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center.
  • The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product

Задачи

  • Drive design and implementation of LLM observability features
  • Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems
  • Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit
  • Develop and extend tools for tracing, evaluating, and debugging LLMs
  • Influence architecture decisions and mentor engineers to build resilient, high-performance systems
  • Stay close to customer pain points and use those insights to guide product and engineering priorities
  • Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team
  • You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape
  • Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production
  • Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world
  • At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table

Требования

  • You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience
  • Deep understanding of distributed systems and scalable backend architectures
  • Hands-on experience building and shipping LLM-powered or GenAI applications
  • Understanding of model internals, inference pipelines, evaluation techniques, and prompt engineering
  • Ability to thrive in ambiguous, fast-changing spaces and have a product-oriented mindset
  • You’re excited to shape the next generation of AI observability tools from the ground up
  • Communicate clearly, think rigorously, and take pride in clean, maintainable code
  • Experience with observability tools/platforms
  • Datadog values people from all walks of life
  • We understand not everyone will meet all the above qualifications on day one
  • That's okay

Условия

  • Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development
  • Have a lot of influence on product direction and impact on the business
  • Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn
  • Competitive global benefits
  • Continuous professional development
  • Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog
  • Datadog offers a competitive salary and equity package, and may include variable compensation
  • Actual compensation is based on factors such as the candidate's skills, qualifications, and experience
  • In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan
  • The reasonably estimated yearly salary for this role at Datadog is
  • 234,000 — $300,000 USD
  • We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them

Паспорт вакансии

История публикации

Появилась в Вакандии29 дней
Перепубликациинетпубликовалась один раз
Проверяли на источникеВидели 24 дня назад
Среди похожихдольше 64%сравнение с 107 вакансиями той же роли и грейда

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

ГрейдLeadвычитано из текста вакансии
Формат работыГибридвычитано из текста вакансии
ГеографияBoston, СШАвычитано из текста вакансии
Зарплата234 000 USD — 300 000 USD в годвычитано из текста вакансии

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.

Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа100вилку назвал источник
Свежесть36свежее 36% похожих вакансий

Проверка Вакандии

Источники и свежесть

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  • greenhouseОсновная публикация · 2025-07-25

Работодатель

Datadog

50 активных вакансий · вилка работодателя указана в 20%

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Вакандия показывает вакансию, но не отправляет отклик и не проверяет работодателя. Сам отклик вы оставляете на внешнем сайтеcareers.datadoghq.com.

Признаки мошенничества
  • Просят предоплату, «залог» или деньги за обучение и оборудование.
  • Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
  • Быстро уводят в мессенджер и торопят с решением.
  • Обещают большой доход без опыта и без деталей задач.

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