Founding Machine Learning Engineer (Recommendations + GenAI)

Quick Facts

• Role: Founding Machine Learning Engineer (Recommendations + GenAI)

Description

Founding Machine Learning Engineer to design, build, and improve the machine learning systems behind a platform focused on recommendations, personalization, and GenAI agents. You will own the intelligence layer across recommendation systems, ranking, retrieval, personalization, GenAI workflows, and predictive analytics. The role is end-to-end, covering data exploration, modeling, experimentation, evaluation, and reliable production iteration.

Responsibilities

• Design, develop, and improve ML systems for recommendations, ranking, personalization, retrieval, and GenAI workflows
• Translate product goals into ML problems, evaluation approaches, experiments, and production solutions
• Analyze behavioural, transactional, contextual, and unstructured data to improve model performance
• Build offline evaluation frameworks and support online experiments to measure quality and business impact
• Improve GenAI workflows using retrieval, context management, prompting, tool usage, orchestration, and evaluation
• Perform error analysis and investigate model limitations to enhance reliability
• Collaborate with backend/platform engineers to deploy, monitor, and iterate ML solutions in production
• Define ML metrics, experimentation practices, and technical standards
• Build reusable ML components and maintain clean, testable Python code
• Support predictive analytics initiatives (segmentation, churn prediction, opportunity ranking, and related solutions)

Requirements

• 5+ years of experience building and shipping ML systems or intelligent product features
• Strong foundations in machine learning, statistics, computer science, or a related quantitative field
• Strong Python programming skills and experience working with ML workflows
• Experience developing and evaluating ML models in production or near-production environments
• Understanding of evaluation, feature engineering, experimentation, and data quality challenges
• Experience working with behavioural, transactional, contextual, or large-scale datasets
• Strong software engineering practices for clean, testable, maintainable code
• Ability to work independently, communicate clearly, and solve ambiguous technical problems
• Upper-Intermediate English level or higher

Benefits

• Direct access to founders with influence over platform and engineering decisions
• High-ownership role building production foundations early
• Work on recommendation and GenAI products used by real customers
• Flexible remote environment with overlap with European time zones preferred
• Small team with low bureaucracy and significant product impact

Compensation

EUR 5,000–10,000 gross monthly (B2B contract).