Principal Full-Stack Data Scientist - Foundational Models

📋 Description

• Design, develop, evaluate, and deploy production-ready machine learning models that improve
• Advance foundational modeling capabilities, including client and item representations, embeddings
• Explore and implement modern machine learning approaches, including large language models (LLMs)
• Own the end-to-end machine learning lifecycle, from problem definition, data exploration, and
• Develop rigorous offline evaluations and online experiments, including A/B tests, to assess model
• Analyze and process large-scale behavioral and product datasets using Python, SQL, and distributed

🎯 Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or another quantitative
• At least 8 years of experience designing, developing, and deploying machine learning solutions
• Strong Python programming skills, with the ability to architect technical solutions and develop
• Demonstrated ability to independently lead ambiguous machine learning problems from initial
• Experience working with large-scale datasets using SQL and distributed data-processing technologies
• Hands-on experience with modern deep learning frameworks, including PyTorch or TensorFlow.

🎁 Benefits

• Annual salary: $200,000–$237,000 USD, with compensation determined by experience, professional
• Equity compensation: Eligibility for new-hire and ongoing restricted stock unit (RSU) grants
• Annual bonus: Eligibility for an annual bonus.
• Comprehensive healthcare: Medical, dental, and vision insurance.
• Additional benefits: Access to other employee benefits and health and wellness programs.
• Remote flexibility: Opportunity to work remotely within the United States.