обновлено 1 день назад
Senior Member of Technical Staff, Machine Learning (AI)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Member of Technical Staff, Machine Learning (AI) (Python/PyTorch/JAX): Building and operating production ML systems for a proactive, long-horizon AI product with an accent on training, inference, reliability, and real-world task completion. Focus on debugging model failures, optimizing latency and cost, and developing robust data and ML pipelines at scale.
Location: Remote from Ireland
Company
is building proactive AI applications that help users manage conversations, errands, organisation, and workflows with minimal prompting.
What you will do
- Build core machine learning systems for a proactive, long-horizon AI product.
- Own ML development end to end, including data preparation, training, evaluation, inference, and iteration.
- Turn research ideas into reliable production systems and debug failures using real production signals.
- Iterate on shipped systems by measuring outcomes, refining solutions, and improving user impact.
- Collaborate with research, product, and engineering teams to integrate ML features into products.
- Mentor and review the work of other ML engineers through technical guidance and example.
Requirements
- Experience building and shipping ML systems used by real users.
- Strong production-quality Python programming and systems-thinking skills.
- Experience with PyTorch or JAX.
- Experience with GPU-based training and inference systems.
- Ability to work independently, take ownership, communicate clearly, and deliver ambiguous projects.
- Must be based in Ireland for this remote role.
Culture & Benefits
- Work with a small, high-talent-density, hands-on team.
- Make decisions collectively while moving quickly and balancing quality with learning.
- Work on systems operating under production constraints such as latency, cost, reliability, and safety.
- Virtual meetings and/or onsite interviews are used during the hiring process.
- Expect a prompt hiring decision after three, and no more than four, interviews.
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