5 часов назад
Senior Member of Technical Staff, Machine Learning (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Member of Technical Staff, Machine Learning (AI) (Python/PyTorch/JAX): Building core ML systems for a proactive, long-horizon AI assistant with an accent on production reliability, persistent context, and real-world task completion. Focus on designing training and inference pipelines, debugging non-deterministic model behavior, and optimizing latency, cost, safety, and scalability.
Location: United Kingdom; hybrid work in London
Company
is building a proactive smart assistant for everyday users that brings AI to conversations, errands, organization, and workflows.
What you will do
- Build core ML systems powering a proactive, long-horizon AI product.
- Own ML work end to end, including data preparation, training, evaluation, inference, and iteration.
- Turn research ideas into reliable production systems and debug model failures using real production signals.
- Ship, measure, and refine ML capabilities while balancing latency, cost, reliability, and safety.
- Collaborate with research, product, and engineering to deliver user impact.
- Mentor and review the work of other ML engineers through technical judgment and example.
Requirements
- Experience building and shipping ML systems used by real users.
- Strong understanding of how modern ML models behave and fail in production.
- Production-quality Python programming and systems-level thinking.
- Experience with PyTorch or JAX and GPU-based training and inference systems.
- Ability to take ownership, work independently, communicate clearly, and drive work through completion.
- Ability to work in a hybrid setup in the United Kingdom.
Culture & Benefits
- Work in a small, high-talent-density, hands-on team.
- Make decisions collectively and move quickly while balancing quality with learning.
- Apply judgment, create structure, and execute independently.
- Participate in virtual and/or onsite interviews.
- Receive a prompt hiring decision after the interview process.
Hiring process
- Complete 3, and no more than 4, interviews if selected for further consideration.
- Interviews are conducted via virtual meetings and/or onsite.
- Applications are evaluated by technical team members.
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