Job Overview
Location
Poland
Job Type
Full-time
Category
Machine Learning Engineer
Date Posted
July 21, 2026
Full Job Description
đź“‹ Description
- • As a Member of Technical Staff, Machine Learning, you will build core ML components. You will work on real production systems from day one, learning how large-scale ML behaves outside of research settings.
- • This role is for engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world ML.
- • Build and improve ML components across data, training, evaluation, and inference.
- • Fine-tune and adapt models as part of larger production systems.
- • Implement evaluation and testing to understand model behavior.
- • Help build and maintain data pipelines for real-world and synthetic data.
- • Debug model issues, performance problems, and production incidents.
- • Ship improvements iteratively and learn from real user feedback.
- • Work closely with senior ML engineers and product teams.
- • Work under real production constraints: latency, cost, reliability, and safety
- • Strong foundations in machine learning and modern neural architectures.
- • Some hands-on experience training, fine-tuning, or deploying ML models.
- • Comfortable writing production-quality code and learning new tools quickly.
- • Curious, coachable, and eager to learn from real systems in production.
- • Able to work through ambiguity with guidance and grow ownership over time.
- • Bias toward shipping, iteration, and continuous improvement.
🎯 Requirements
- • Strong foundations in machine learning and modern neural architectures.
- • Some hands-on experience training, fine-tuning, or deploying ML models.
- • Comfortable writing production-quality code and learning new tools quickly.
🏖️ Benefits
- • ML models in production meet expected accuracy, latency, and reliability targets.
- • Production issues are identified quickly, debugged effectively, and root causes addressed.
- • Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.
- • Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.
- • Iterations on models and systems are driven by real-world signals and measurable improvements.
🏠Location
- • Poland
🏠Location
- • Country: Poland
- • Region: null
- • Country Code: PL
- • Is Remote: false
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.
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