Senior Staff/Principal Machine Learning Engineer, Valo Health

• Degree in a quantitative field with industry experiencing developing and delivering software products:
• Senior Staff: 12+ (BS), 10+ (MS), or 8+ (PhD) years
• Principal: 14+ (BS), 12+ (MS), or 10+ (PhD) years
• 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)

Desirable

• As Machine Learning Engineer (Senior Staff or Principal), you will be the team lead for Valo’s clinical machine learning capabilities
• You will be accountable for delivering robust, tested, usable tools that enable the detection of clinically meaningful patient subgroups using dense, diverse patient data. Success in this role looks like timely delivery of software that meets users needs
• You will be responsible for productionizing prototype code, developing and maintaining the roadmap, managing stakeholders, and leading a team
• 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