Senior Data Scientist/ML Engineer

We're looking for a Data Scientist or Machine Learning Engineer to work in our Discovery and Foundation team. The role involves creating metrics to validate performance of models, proposing new algorithmic approaches, designing A/B tests, and identifying creative solutions to bridge state of the art information retrieval advanced and business and engineering requirements.

Requirements

• MS/PhD in quantitative discipline (Computer Science, Math, Physics, Engineering, Statistics or other technical field etc) or equivalent experience
• 4+ years experience with data analytics, machine learning, or related field
• 2+ years experience in applied predictive modeling with TensorFlow
• 2+ years experience in information retrieval or recommendation systems
• Experience with language models, especially on imperfect grammars
• Experience with Large Language Models (LLMs), including fine-tuning and deploying transformer-based architectures in real-world applications
• Experience tuning runtime models using GPUs
• Experience in data engineering and feature preparation in pyspark, hive,and the python data stack.
• Comfort communicating performance metrics, model details, and features specifications to technical and non-technical audiences
• Ability to keep up with the latest publications and synthesize research into working models
• Deep interest in self-motivated continuous learning

Benefits

• Long-term projects with real technical challenges
• Fully remote work with flexible hours
• Collaboration flexibility: We work with B2B (PFA/SRL) contracts
• 30 paid days off per year
• We provide equipment as needed (laptop, desktop, etc.)
• Continuous learning: We sponsor career-improving courses, seminars, and certifications
• Opportunity for annual business visits to the US, depending on project needs