Senior Machine Learning Engineer: ML Recall

📋 Description

• Develop and optimize modern search retrieval systems using dense and sparse models, query
• Build solutions that balance retrieval quality and strict latency requirements, ensuring relevant
• Develop end-to-end visual and multimodal search capabilities, including image search, visual
• Train, fine-tune, evaluate, deploy, and continuously improve deep learning models used across
• Experiment with new model architectures, retrieval approaches, and techniques, validating their
• Address complex measurement challenges in search recall by developing reliable ground truth and

🎯 Requirements

• 4+ years of experience building and shipping production machine learning systems.
• Professional experience with search, information retrieval, recommendation systems, or closely
• Hands-on experience training, fine-tuning, and evaluating transformer-based models.
• Strong Python and PyTorch skills, with practical experience developing production-quality ML
• 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

🎁 Benefits

• Unlimited vacation time, with employees strongly encouraged to take at least 3 weeks of vacation
• 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.