Job Overview
Location
Germany
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
July 21, 2026
Full Job Description
đź“‹ Description
- • As a Senior Member of Technical Staff, Machine Learning, you are an independent owner of critical ML subsystems in production.
- • You take ambiguous problems, design practical solutions, and ship systems that operate reliably at scale.
- • This is a hands-on, high-impact role focused on depth.
- • Build core ML systems that power a proactive, long-horizon AI product.
- • Own work end-to-end: data preparation, training, evaluation, inference, and iteration.
- • Turn research ideas into working systems that run reliably in production.
- • Debug model failures and system issues using real production signals.
- • Iterate quickly: ship, measure outcomes, refine, and repeat.
- • Collaborate closely with research, product, and engineering to deliver real user impact.
- • Mentor and review work from other ML engineers through example and technical judgment.
- • Work under real production constraints: latency, cost, reliability, and safety.
🎯 Requirements
- • You have built and shipped ML systems used by real users.
- • You understand how modern ML models behave — and misbehave — in production.
- • You write strong, production-quality code and think in systems, not scripts.
- • You take ownership, work independently, and push work across the finish line.
- • You learn fast, communicate clearly, and improve through iteration.
🏖️ Benefits
- • ML models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets.
- • Complex production issues are monitored, debugged, and resolved with minimal disruption.
- • Training, inference, and data pipelines are robust, scalable, and maintainable over time.
- • Drives measurable improvements in ML systems based on real-world signals and user feedback.
- • Provides mentorship and technical guidance to peers, raising the overall ML engineering standard.
- • Collaborates cross-functionally to ensure ML features integrate seamlessly into products and meet business goals.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Bjak Sdn. Bhd.
Bjak operates Malaysia’s largest digital auto-insurance marketplace, enabling instant price comparison and online purchase of motor coverage from leading insurers. The platform uses proprietary technology to simplify complex tariffs, deliver personalised quotes and e-policy issuance within minutes, eliminating paperwork and agent visits. Licensed by Bank Negara Malaysia, Bjak also offers road-tax renewal, accident assistance and claims support, serving millions of drivers nationwide while partnering with insurers to increase digital distribution efficiency and customer reach.
Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.
Newsletter
Weekly remote jobs and featured talent.
No spam. Only curated remote roles and product updates. You can unsubscribe anytime.
Similar Opportunities
Caylent, Inc.
3 months ago
2 months ago
Qualysoft GmbH
3 months ago
Caylent, Inc.
3 months ago