Senior/Lead Machine Learning Engineer (AdTech) at Flo Health

Flo, a leading female health app, is seeking a Senior/Lead Machine Learning Engineer to join its AdTech ML team. The company aims to revolutionize the AdTech landscape by utilizing advanced machine learning and data analytics. This role involves developing robust models to predict lifetime value (LTV) and other critical metrics, empowering marketing and finance teams with predictive insights for enhanced decision-making.

The Machine Learning Engineer will contribute to driving company growth and improving female health worldwide.

Responsibilities Include:

• Developing ML models end-to-end, from initial experiments to deployment and maintenance.
• Driving company growth in the AdTech domain by building ML solutions focused on LTV prediction and other KPIs.
• Designing, implementing, and ensuring scalable, production-ready, and high-performance solutions.
• Building and maintaining data pipelines for efficient preprocessing, feature engineering, and model training.
• Collaborating with stakeholders to define requirements, interpret predictions, and integrate insights into workflows.
• Partnering with product and engineering teams to ensure seamless model integration, deployment, and accuracy.
• Calibrating models to meet business requirements for accuracy, efficiency, and scalability.
• Developing and generalizing calibration methodologies to align predictions with cohort-level aggregates.
• Exploring and implementing new ML use cases, such as budget allocation optimization, campaign optimization, and spend forecasting.
• Establishing monitoring systems for model performance and retraining processes.
• Diagnosing and resolving issues in production models.

Requirements Include:

• 4+ years of experience in machine learning.
• Strong knowledge of classical machine learning and neural networks.
• Proven experience deploying ML models in production systems.
• Strong computer science foundation.
• Strong Python programming skills.
• Experience building and managing data pipelines to operate on Big Data.
• Excellent communication skills and ability to collaborate with diverse teams.
• Ability to work in ambiguity and on high-risk systems.
• Experience navigating high-impact systems under challenging circumstances.

Flo offers:

• A flexible working environment with the opportunity to come into the office and work from home.
• Company equity grants through Flo’s Employee Share Option Plan (ESOP).
• Paid holiday and sick leave.
• Fully paid female health and sick leave.
• Workations - an opportunity to work abroad for two months a year.
• Six months paid maternity leave, and one months paid paternity leave.
• Career growth, progression, and learning development resources.
• Annual salary reviews.
• Unlimited free premium Flo subscriptions.