Research Scientist

• Build models and tools solving critical problems in underwriting, fraud, spend management, credit, growth, and core product areas
• Own applied ML projects from start to finish as an integrated team member
• Translate complex business needs into scalable machine-learning-driven solutions
• Own the model lifecycle from data exploration and feature engineering through training, benchmarking, deployment, and monitoring
• Leverage Large Language Models to solve novel problems and create product capabilities
• Apply deep learning, gradient boosting, causal inference, and other appropriate techniques
• Quantify impact through A/B tests and other statistical methods
• Partner with engineers, product managers, and business stakeholders
• Translate models and insights into actionable strategy and user-facing features
• Ship code and create value for Ramp and its customers

Applied Scientist Intern

• Work with software engineers, data scientists, product managers, and designers to set the technical direction of Etsy’s recommendation system
• Apply machine learning advances to improve buyer and seller experiences
• Build user models to understand buyers’ interests, tastes, and shopping missions
• Develop personalized ranking, multi-objective optimization, and diversity-constraint models
• Design foresight and intent prediction models for future buyer needs and lifecycle transitions
• Improve feed reactivity and freshness based on user actions, trends, and seasonal shifts
• Prototype, optimize, and productionize large-scale machine learning models
• Conduct experiments, including A/B testing, to validate ML models and pipelines
• Report to the Engineering Manager
• Perform additional duties as assigned and adapt responsibilities as business needs change

Senior Applied Scientist I, Recommendations Ranking

• Develop and experiment with new methods for speech synthesis and speech recognition, including end-to-end approaches
• Expand speech use cases for different markets and products
• Build and create models at scale to power the Spotify platform
• Champion research and development best practices and share knowledge with researchers within Speak
• Collaborate with engineering and data teams on new infrastructure and high-quality data
• Improve speech recognition and speech synthesis pipelines
• Turn proven research ideas into scalable products
• Develop novel machine learning techniques and architectures for generative conversational speech-to-speech models
• Explore methods to improve quality, understanding, and realism of speech technology

Senior Applied Research Scientist – Personalization

• Conduct original research in machine learning and AI focused on large-scale foundation models, generative AI, and post-training methods, including reinforcement learning
• Develop novel methodologies, models, and evaluation frameworks for personalization systems
• Design and execute rigorous experiments to explore ideas and validate research hypotheses
• Contribute to the scientific community through publications, talks, and conference participation
• Collaborate with cross-functional partners to translate research insights into long-term product opportunities
• Define and evolve a forward-looking research agenda aligned with Spotify’s personalization strategy
• Mentor others and contribute to a curious, collaborative research culture
• Help improve recommendations for Spotify listeners across music and podcasts