Senior Machine Learning Engineer: ML Recall

Team: IT

Location: Netherlands

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Develop and optimize modern search retrieval systems using dense and sparse models, query understanding, and other machine learning techniques.
• Build solutions that balance retrieval quality and strict latency requirements, ensuring relevant products are returned within milliseconds.
• Develop end-to-end visual and multimodal search capabilities, including image search, visual recommendations, and "shop the look" experiences.
• Train, fine-tune, evaluate, deploy, and continuously improve deep learning models used across multiple products and teams.
• Experiment with new model architectures, retrieval approaches, and techniques, validating their effectiveness through A/B testing and live traffic experiments.
• Address complex measurement challenges in search recall by developing reliable ground truth and evaluation methodologies for products that may otherwise be missed entirely.
• Design models that generalize across 40+ languages and 20+ domains without relying on customer-specific rules or overrides.
• Take ownership of machine learning initiatives from problem framing and research through production rollout and ongoing optimization.
• Collaborate with other engineering and machine learning teams whose products build on the models and capabilities you develop.

Requirements:

• 4+ years of experience building and shipping production machine learning systems.
• Professional experience with search, information retrieval, recommendation systems, or closely related machine learning applications.
• Hands-on experience training, fine-tuning, and evaluating transformer-based models.
• Strong Python and PyTorch skills, with practical experience developing production-quality ML solutions.
• Familiarity with data orchestration and large-scale data processing tools such as Spark and Airflow.
• Demonstrated experience owning machine learning models end to end, from problem formulation and experimentation to deployment and production monitoring.
• Experience designing and running A/B tests and using experimental results to assess and improve model impact.
• Strong analytical and problem-solving abilities, particularly when working with complex retrieval and relevance challenges.
• Excellent English communication skills and the ability to collaborate effectively in a distributed, technical environment.

Benefits:

• Unlimited vacation time, with employees strongly encouraged to take at least 3 weeks of vacation each year.
• Fully remote working environment, giving you flexibility over where you live and work.
• Work-from-home stipend to help you create an effective home-office setup.
• Apple laptop provided for new employees.
• Annual training and professional development budget.
• Maternity and paternity leave for eligible employees.
• Opportunity to work with experienced technical colleagues and contribute to high-impact machine learning projects.
• Base salary of $80,000–$120,000 USD, depending on knowledge, skills, experience, and interview results.
• Stock options in addition to the base salary.
• Regular team offsites designed to support collaboration and connection.