Senior Machine Learning Engineer

Summary

Join Flatiron as a Machine Learning Engineer and contribute to improving cancer care. You will design and develop AI-powered data products, collaborating with cross-functional teams. This role involves applying machine learning and NLP to solve clinical development challenges, from data extraction to trial candidate identification. You will work on prototype development, model validation, and production deployment. The ideal candidate possesses 5+ years of relevant experience in ML, with a strong background in applying ML to real-world problems and experience in a production development environment. This hybrid role offers flexibility with a defined work location combining work from home and office days.

Requirements

• 5+ years of relevant working experience in a technical capacity, with a focus on ML
• Strong background in applying ML to solve real-world problems and a solid grasp of the underlying statistical fundamentals of ML
• Collaborated with other technical team members in a production development environment using formal version control, Python, and SQL
• Led cross-functional initiatives and excel at influencing decision-making without authority

Responsibilities

• Work with cross-functional leads to design solutions in a highly ambiguous, impactful problem space with a high degree of autonomy
• Help guide the team’s product roadmap and lead the technical development effort of novel data products powered by AI
• Apply AI tools to solve a variety of problems in the clinical development space - from extracting data in unstructured documents to identifying candidates for trials to automating data entry into Intentional Data Capture software
• Develop prototypes and optimize prompting strategies for LLM-based solutions, with a focus on accuracy and transparency
• Work with quantitative scientists and oncologists to validate that your models are fit for use in the context of clinical development and can generate sound scientific insights
• Collaborate cross-functionally with software engineers to productionize, scale, and monitor the models you develop and embed them within Flatiron's suite of clinical research software

Preferred Qualifications

• Prior experience with NLP
• At least 3+ years of experience working in industry
• Experience with LLMs, including practical experience with prompt engineering and evaluation of large language models
• ML experience in a healthcare setting
• Experience with the risks of bias in machine learning, health equity research/analysis or have worked with underrepresented groups in a clinical research setting
• Familiar with the workflows and software used in clinical research
• Understanding of ethical AI principles, including bias mitigation, fairness, and transparency in AI systems

Benefits

Hybrid role with a defined work location that includes work from home and 2-3 office days set by you and your team with the option of being Flex or Office