Principal Machine Learning Engineer

Summary

Join Valo Health, a technology company revolutionizing drug discovery and development with AI and human-centric data, as a Principle Machine Learning Engineer. Lead the team responsible for building robust clinical machine learning tools to identify patient subgroups using diverse data. You will own the clinical machine learning platform strategy, roadmap, and development of patient subgroup discovery capabilities. This role involves managing stakeholders, leading a team, and ensuring timely delivery of software that meets user needs.

Requirements

• Degree in a quantitative field with 12+ (BS), 10+ (MS), or 8+ (PhD) years industry experiencing developing and delivering software products
• Strong work ethic with a bias for execution and an ability to manage multiple priorities, ambiguity, and tight timelines. Ability to work effectively in teams or independently
• A focus on usability and end-user satisfaction
• Extensive experience planning, developing, and delivering technical software
• Extensive experience with software engineering and MLops best practices to enable efficientand reproducible research
• Demonstrated experience with internal and external stakeholder management, developing workplans, and managing projects
• Previous experience managing matrix teams and/or direct reports
• Broad experience in ML including supervised learning, unsupervised learning, dimensionality reduction, clustering, metrics, model selection, feature selection, and explainability
• Expert in Python including experience with ML and data science packages (e.g., scikit-learn, statsmodels, scipy, MLlib)
• Experience with MLops methodology such as workflow orchestration (e.g., Airflow, Prefect),experiment tracking (e.g., MLflow), containerization (e.g., Docker), and reproducible research
• Experience with collaborative software development using source control management (e.g., git, unit testing, code review, CI/CD)
• Experience with large-scale data analytics engines (e.g., Spark or Dask) and working in cloud environments (e.g., AWS)

Responsibilities

• Productionize prototype code
• Own Valo’s clinical machine learning platform strategy and roadmap
• Lead development and application of Valo’s patient subgroup discovery, characterization, andinsight generation capabilities to support target identification for drug discovery
• Deeply understand the pain and needs of users and cross-functional stakeholders including Epidemiology, Data science, and Biology
• Work hands-on when needed
• Lead a growing  team of high-performing machine learning engineers and data scientists

Preferred Qualifications

• Familiarity with RWE data is a strong plus
• Familiarity with the drug discovery and development process is a plus