- Страна
- США
- Зарплата
- 230 000 $ – 275 000 $
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на вакансии с ИИ

Staff Machine Learning Engineer, AI Researcher
Отличная вакансия с высокой зарплатой, удаленным форматом работы и возможностью влиять на продукт на ранних стадиях. Компания Cribl быстро растет и предлагает сильный социальный пакет, включая опционы.
Сложность вакансии
Роль уровня Staff требует не только глубоких технических знаний в области ML и NLP, но и способности проводить самостоятельные исследования, а также интегрировать их в реальный продукт. Высокая планка ожиданий по опыту (5+ лет) и необходимость работы с современным стеком (PyTorch, MLOps) делают позицию сложной.
Анализ зарплаты
Предлагаемая зарплата ($230k - $275k) находится на верхнем уровне рыночных ожиданий для Staff ML ролей в США, особенно для удаленного формата. Это подчеркивает высокую ценность позиции для компании.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Machine Learning Engineer / AI Researcher position at Cribl. With over five years of experience in developing and deploying machine learning models, particularly within the realms of NLP and large language models, I am excited about the opportunity to integrate cutting-edge AI technologies into Cribl’s product suite. My background in building robust ML pipelines and conducting rigorous experimentation aligns perfectly with your mission to solve complex data needs for IT and Security.
Throughout my career, I have demonstrated a strong ability to translate academic research into production-ready systems, utilizing frameworks like PyTorch and MLOps tools such as MLflow. I thrive in fast-paced, remote-first environments and value the culture of curiosity and collaboration that Cribl fosters. I am eager to bring my expertise in model optimization and architecture experimentation to help drive innovation and deliver exceptional value to your customers.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в cribl уже сейчас
Присоединяйтесь к команде Cribl и создавайте будущее AI в сфере безопасности и мониторинга данных!
Описание вакансии
Cribl does differently.
What does that mean? It means we are a serious company that doesn’t take itself too seriously; and we’re looking for people who love to get stuff done, and laugh a bit along the way. We’re growing rapidly - looking for collaborative, curious, and motivated team members who are passionate about putting customers first. As a remote-first company we believe in empowering our employees to do their best work, wherever they are.
As the data engine for IT and Security many of the biggest names in the most demanding industries trust Cribl to solve their most pressing data needs. Ready to do the best work of your career? Join the herd and unlock your opportunity.
Why You'll Love This Role
You will work closely with the founding team and a group of highly-skilled engineers to shape the future of AI-enabled Security/Observability platforms. You will play a central role in bringing integrating cutting-edge AI/ML technologies to the Cribl Product suite to help solve real customer problems. You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our customers.
On top of it all you will have fun. Cribl strives to be a great place to work for everyone.
As An Active Member Of Our Team, You Will...
- Design, train, and evaluate machine learning models across a range of research and applied AI initiatives
- Run rapid, iterative experiments to test hypotheses and surface insights that drive model improvements
- Collaborate closely with researchers and engineers to translate cutting-edge academic advances into practical, production-ready systems
- Build and maintain robust ML pipelines for data ingestion, feature engineering, model training, and evaluation
- Optimize model performance through fine-tuning, hyperparameter search, and architecture experimentation
- Contribute to a culture of rigorous experimentation; tracking results, documenting findings, and sharing learnings with the broader team
- Stay current with the latest developments in ML and AI research, and proactively identify opportunities to apply them
- This position may require stand-by, on-call, or off-hours duties during critical research or deployment milestones
If You've Got It - We Want It
- Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field with 5+ years of industry or research experience (Master's or PhD a plus)
- Deep hands-on experience training and evaluating ML models, including language models
- Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Familiarity with MLOps tooling and infrastructure (e.g., MLflow, Weights & Biases, Kubeflow, or similar)
- Solid understanding of modern NLP, computer vision, and/or reinforcement learning techniques
- Strong ability to move fast without sacrificing rigor; you know when to prototype and when to productionize
- Excellent communication skills with the ability to clearly present experimental results to both technical and non-technical stakeholders
Salary Range ($230,000 - $275,000)
The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience. In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.
#LI-JB1
#LI-Remote
Bring Your Whole Self
Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at cribl.io/about-us.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Python
- PyTorch
- Computer Vision
- MLOps
- NLP
- TensorFlow
- Kubeflow
- MLflow
- Weights & Biases
- Reinforcement Learning
Возможные вопросы на собеседовании
Проверка опыта работы с LLM, что критично для современных AI-исследователей.
Расскажите о вашем опыте дообучения (fine-tuning) языковых моделей: какие техники вы использовали и как оценивали результат?
Важно понять, как кандидат переходит от теории к практике в продуктовой среде.
Опишите случай, когда вам пришлось адаптировать сложную научную статью по ML для внедрения в реальный продукт. С какими трудностями вы столкнулись?
Проверка навыков работы с инфраструктурой и жизненным циклом моделей.
Какие инструменты MLOps вы предпочитаете для отслеживания экспериментов и почему? Как вы обеспечиваете воспроизводимость результатов?
Оценка способности оптимизировать модели для работы под нагрузкой.
Как вы подходите к оптимизации производительности моделей (latency/throughput) перед их выводом в продакшн?
Проверка навыков коммуникации и работы в команде.
Как вы объясняете результаты сложных ML-экспериментов стейкхолдерам, которые не обладают глубокими техническими знаниями?
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- Страна
- США
- Зарплата
- 230 000 $ – 275 000 $