Senior Machine Learning Engineer, Embedded Insights

What you'll do

• Build machine learning-based features for a new 0-to-1 consumer-facing product.
• Translate ambiguous business requirements into technical machine learning problems and influence product roadmaps.
• Conduct proofs of concept to identify and validate high-impact machine learning opportunities within unique datasets.
• Productionize and deploy machine learning models into real-world, customer-facing products.
• Establish data feedback loops and define success metrics with data science partners.
• Optimize existing models by developing new features and establishing retraining cadences.
• Create monitoring tools including alerts and dashboards to track model performance.
• Communicate technical decisions and system trade-offs clearly to both technical and non-technical stakeholders.

What we're looking for

• 6+ years of experience in machine learning, including deploying models into real-world, customer-facing systems.
• Experience taking machine learning systems from experimentation or proof of concept through production and ongoing improvement.
• Proficiency in SQL and Python, as well as data visualization and analysis tools.
• Ability to analyze large and complex financial datasets and derive actionable insights.
• Ability to clearly communicate complex technical systems, decisions, tradeoffs, and outcomes to cross-functional partners.
• High agency and creativity with experience identifying, defining, and proposing high-impact machine learning opportunities.
• Advanced degree or equivalent work experience in Statistics, Economics, Mathematics, Data Science, or a related field.