3 часа назад
Lead Machine Learning Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Machine Learning Engineer (ML systems): Leading the design, implementation, deployment, and maintenance of large-scale machine learning products serving millions of users, with an accent on scalable architectures, production ML pipelines, and high-performance distributed systems. Focus on designing state-of-the-art models and infrastructure, solving complex research problems, and scaling systems to billions of data points and millions of inferences per second.
Location: Remote from Poland, Romania, Austria, or Croatia
Company
builds enterprise security products focused on AI/ML, including the hCaptcha security suite, serving hundreds of millions of people worldwide.
What you will do
- Lead large-scale machine learning projects and products from initial design through implementation, deployment, and maintenance.
- Make architectural decisions for scalable, efficient, and maintainable ML solutions.
- Design and implement advanced machine learning pipelines and models serving millions of users.
- Set technical standards and lead the development of scalable, testable, high-performance applications.
- Collaborate across machine learning and engineering teams, drive technical decisions, and mentor ML engineers.
Requirements
- 7+ years of experience building and maintaining large-scale production machine learning systems.
- Expertise in machine learning algorithms, productionizing ML models, and scaling systems for large data volumes.
- Experience owning or significantly contributing to products used by tens of thousands of customers.
- Experience with Kubernetes, containerization, microservice design, and distributed systems.
- Ability to lead technical discussions, set standards, communicate complex topics, and define innovative solutions to research problems.
Nice to have
- Familiarity with coding agents and evals-first development workflows.
Culture & Benefits
- Fully remote work with flexible working hours.
- Distributed team with colleagues around the world.
- Modern development and deployment workflows focused on shipping early and often.
- Opportunity to work on high-impact cybersecurity, privacy, and machine learning systems.
- Flat organization with direct interaction with customer teams.
Hiring process
- Interviews include familiarity with coding agents and review of code for reliability and correctness.
- Pre-employment screening includes third-party verification of work history, education, and identity.
- Final in-person interview and identity verification are conducted in the candidate’s country of residence.
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