3 months ago
Zürich, SwitzerlandStaff+
Responsibilities
- Build core ML systems for a proactive, long-horizon AI product.
- Own data preparation, training, evaluation, inference, and iteration end to end.
- Translate research ideas into reliable production systems.
- Debug model failures and system issues using production signals.
- Optimize systems for latency, cost, reliability, and safety.
- Mentor and review other ML engineers through technical judgment and example.
- Monitor and resolve complex production issues with minimal disruption.
- Improve ML systems based on real-world signals and user feedback.
- Collaborate with research, product, and engineering to integrate ML features into products.
Requirements
- Experience building and shipping machine learning systems used by real users.
- Understanding of how modern machine learning models behave and fail in production.
- Strong production-quality coding and systems-thinking skills.
- Ability to take ownership, work independently, and drive work through completion.
- Ability to learn quickly, communicate clearly, and improve through iteration.
Benefits
- Virtual and/or onsite interviews.
- Prompt interview decisions and an efficient process of 3, but no more than 4, interviews.
Categories
About Bjak
Our mission is to develop technology based solutions to improve financial inclusion. We develop new & innovative platforms & services globally. For example, we are the first platform to simplify and digitise comprehensive life and medical insurance, supported by AI agent. BJAK is the largest insurance platform in Southeast Asia. If you enjoy building cutting edge platform-ecosystems that gives equal access to financial services to everyone at scale, join us.