Staff Software Engineer (Machine Learning)

About this role

• Owning technical direction for the ML stack end to end: feature definition and computation, training data generation, training infrastructure, model serving, and production monitoring, along with the contracts between them
• Building tooling for training/serving consistency across analytics, batch computation, and live serving, accounting for differences in data sources and timing
• Designing how every deployed model stays linked to its dataset, feature versions, labels, and training code, to the standard model risk management expects
• Enabling data scientists to generate reproducible, point-in-time-correct datasets and run standard validation without an engineering ticket
• Setting the working contracts between the groups that build, consume, and govern models, and keeping the stack legible to people who don’t read the code
• Measuring delivery time, engineering effort, and rework, and using that evidence to prioritize improvements
• In your first year:
• Establishing a delivery baseline and proving the workflow on one production model with versioned features, a reproducible dataset, and reusable validation
• Extending those capabilities to additional models and measuring adoption and improvement against the baseline
• Standardizing model monitoring and defining production-readiness gates with Data Science, Risk, and service owners
• Evaluating build-versus-buy options for ML platform tooling against real production requirements
• Partnering daily with engineers across our squads and with data scientists and analysts, and regularly with Risk, Marketing, and Finance, who own the decisions our models support

### Benefits

• Company equity
• Flexible vacation policy
• Commuter benefits
• Discretionary bonus program
• Medical, Dental & Vision- Experience establishing engineering standards, mentoring engineers, and helping teams adopt shared infrastructure
• 8+ years of overall software engineering experience, including strong production skills in Python and SQL, ex...