• Work with a cross functional team of scientists and engineers building foundational models that are used, tested, and trained on real world applications of generative design to the development of therapeutic biomolecules. • Develop and implement groundbreaking machine learning and protein science solutions. • Collaborate with computational and experimental scientists to establish these tools as a foundation of the discovery pipeline. • Work towards individual ownership and a leadership role in determining model architectures and research program needs. • Engage with open source and academic collaborations in the machine learning field.

• Build and improve the systems that power customer lifetime value modeling, from development and deployment through monitoring and production support. • Partner with data scientists to productionize statistical models, simulations, and forecasting workflows that support decision-making across the business. • Accelerate the path from research to production through scalable infrastructure, reliable workflows, and reusable tooling. • Improve the ML development experience by building better operational patterns and advancing production-ready ML practices. • Develop tools and services that help stakeholders evaluate model performance, understand business impact, and trust model outputs in production. • Collaborate with technical and business partners to solve high-value problems and improve the reliability and scalability of ML systems. • Share best practices through mentorship, documentation, and clear communication around technical decisions, tradeoffs, and operational considerations.

• Lead dynamic live discussions that foster interaction and deepen understanding. • Deliver clear, constructive, and authentic feedback on student submissions, including recorded video responses. • Manage online discussions, respond promptly to student inquiries, and track student progress. • Facilitate a minimum of 1-2 courses per month with consistent engagement and preparation. • Complete an in-depth onboarding program, including shadowing live courses, participating in debrief sessions, and mastering the assigned certificate program. • Engage in ongoing training and professional development to stay current with emerging learning methodologies, educational technologies, and best practices in online facilitation.

• Build and scale experimentation services • Develop RESTful APIs using FastAPI • Collaborate with data scientists and product teams • Optimize data processing using PySpark