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Glynn Capital
Glynn Capital
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Machine Learning Engineer

Teya

Teya

Software Engineering
Madrid, Spain
Posted on Tuesday, June 4, 2024

Company Description

🚀 About Teya

Teya exists to make sure that every small and growing business in Europe has the opportunity to thrive. We want to become Europe’s go-to software solution for these businesses, simplifying their every day and helping them reconnect with the joy of running their business. Teya was born in 2019 and is home to over 1,000 employees in 15+ countries. We've built a fast-paced, energetic, and innovative environment that is dedicated to bringing the best solutions to customers.

🤝 About the Team

Join a team of machine learning engineers building a real-time decision making platform in Go and Python for fraud detection and mitigation models to protect merchants, their customers, and Teya from fraudulent activities. Working with advanced predictive models and scalable software systems, build and grow intelligent solutions to reduce all kinds of risk and allow Teya to focus on effectively serving our merchants. Key individual contributor for a diverse and innovative team of machine learning engineers to continuously improve and address fast-moving risks and opportunities. Work with senior engineering leaders to design, implement, launch, iterate, and ensure engineering and operational excellence for critical systems with high standards for availability, throughput, and reliability. Collaborate with your peers across Teya to build systems that can integrate real-time decision making wherever opportunity arises.

Job Description

💪 Your Mission

As a Machine Learning Engineer on the Fraud Prevention team you will:

  • Join in the early stage design of a platform for real time decision making including fraud evaluation.
  • Build high quality solutions using technologies such as Go, Python, Kafka, Docker, and Kubernetes.
  • Work with dedicated Product Managers to deliver scalable platforms and services to build and execute advanced predictive models.
  • Help build a culture of quality and delivery.
  • Work with best in class tools for observability, monitoring, and analysis.

Qualifications

📖 Your Story

  1. 2+ years of professional software development experience with machine learning systems.
  2. Ability to solve problems in code using data structures and algorithms and be able to analyze the time and space complexity of those solutions.
  3. Understanding of software system design including object-oriented, functional, and distributed design principles.
  4. Able to work autonomously with little supervision.

Additional Information

🏆 The Perks

  • Health Insurance;
  • 25 days of Annual leave (+ Bank holidays);
  • Possibility to travel to different offices around Europe;
  • Office snacks every day;
  • Friendly, comfortable and informal office environment;
  • Flexible working hours, as long it suits both you and your team.