Senior Member of Technical Staff, Machine Learning (AI)

Location: Hybrid in Zurich, Switzerland

Company

Building proactive AI applications that bring intelligence to conversations, errands, organization, and workflows with minimal prompting.

What you will do

• Build core machine learning systems for 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 investigate failures using real production signals.
• Iterate on models and systems by shipping changes, measuring outcomes, and refining implementations.
• Collaborate with research, product, and engineering to deliver user-facing ML capabilities.
• Mentor and review the work of other ML engineers while balancing latency, cost, reliability, and safety.

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 and systems-oriented engineering skills.
• Experience with PyTorch or JAX and GPU-based training and inference systems.
• Ability to take ownership, work independently, communicate clearly, and deliver ambiguous projects.

Culture & Benefits

• Small, high-talent-density, hands-on team.
• Collective decision-making and rapid execution.
• Emphasis on balancing high-quality delivery with continuous learning.
• Virtual and/or onsite interviews with a process of three to four interviews.
• Prompt hiring decisions following technical evaluation.

Hiring process

• Applications are evaluated by technical team members.
• Expect three, and no more than four, interviews conducted virtually and/or onsite.
• A prompt decision follows the interview process.