ML Scientist III

About Clear Clear is on a mission to simplify financial workflows for businesses and individuals through cutting-edge technology. As part of our journey, we are building AI-powered autonomous products designed to empower CFO offices with innovative solutions across Compliance, Supply Chain, Accounting, Budgeting, and more. Role Overview We are seeking a seasoned Machine Learning Scientist (ML3) to lead and mentor the development of advanced ML solutions. This role requires not only deep technical expertise and a strategic mindset but also the ability to translate complex business challenges into impactful machine-learning implementations. You will drive multiple high-impact projects from conception to production, ensuring robust and scalable solutions that seamlessly integrate with enterprise systems. Key Responsibilities Technical Leadership: Lead, design, and deploy multiple ML projects in production with demonstrable business impact. Mentor and guide junior ML scientists, fostering a culture of innovation and excellence. Track and learn from constant innovations in the field and integrate the latest developments into solutions. Advanced ML Development: Architect and implement advanced ML solutions using Python, leveraging large datasets and cutting-edge methodologies. Develop and optimize ML APIs for seamless integration with enterprise systems. Strategic Collaboration: Translate complex business problems into technical strategies and actionable ML projects. Effectively communicate technical insights and project updates to both technical and non-technical stakeholders. Innovation and Best Practices: Stay ahead of emerging trends in machine learning, deep learning, and AI, integrating state-of-the-art techniques into our product roadmap. Drive initiatives to continuously improve ML infrastructure, model performance, and deployment practices. Required Skills and Experience Bachelor s or Master s degree in a quantitative discipline (Advanced degree preferred). 5-8 years of hands-on experience in machine learning or data science, with a proven track record of delivering ML projects in production. Advanced proficiency in Python, including experience with API development. Deep understanding of ML and deep learning concepts, with practical expertise in statistical inference, probability, and classical ML models (e.g., XGBoost, Logistic Regression). Demonstrated ability to lead cross-functional teams and collaborate effectively with both technical and product stakeholders. Nice to Have Experience with large language models (LLMs), retrieval augmented generation (RAG), function calling, and prompt engineering. Familiarity with big data frameworks like Spark. Practical knowledge of MLOps and best practices for continuous integration and deployment of ML models.