Staff Machine Learning Engineer - Remote

Overview

Trustly is on a mission to revolutionize the payments industry by providing smarter payment options and prioritizing financial responsibility for consumers and merchants alike.

In Short

• Join a diverse team at Trustly working on innovative payment solutions.
• Collaborate with Data Scientists and MLOps teams to implement ML models.
• Design and optimize data architectures for real-time and batch solutions.
• Monitor and maintain model performance and implement retraining pipelines.
• Conduct research to explore novel ML engineering approaches.
• Mentor junior engineers and contribute to internal learning initiatives.
• Work remotely within your country of residence in Brazil, the U.S., or Canada.
• Participate in a culture that embraces diversity and inclusion.
• Enjoy various perks including health plans, flexible hours, and home office allowances.
• Be part of a mission-driven company aiming to redefine the payments experience.

Requirements

• Bachelor's or Master’s degree in a technical discipline.
• Experience in Data Science or Machine Learning engineering.
• Proficiency in Python, Scala, or Java.
• Hands-on experience with SQL and NoSQL databases.
• Experience with AWS services and CI/CD pipelines.
• Knowledge of machine learning modeling and online inference systems.
• Proficiency in Docker and Kubernetes.
• Strong English communication skills.
• Preferred: Experience in financial decision-making ML applications.
• Preferred: Familiarity with distributed data systems and orchestration tools.

Benefits

• Health and dental plan for you and dependents.
• Life insurance with comprehensive coverage.
• Meal and supermarket vouchers.
• Home Office Allowance.
• Access to physical activity platforms.
• Discounts at educational institutions and partner stores.
• Monthly happy hours and an English program.
• Flexible hours and remote-first culture.
• Annual bonus eligibility based on performance.
• Referral program rewards.