about 5 hours ago
Base Salary
$215k - $322k/yr
Responsibilities
- Own end-to-end ML systems for pricing optimization.
- Design and implement backend model pipelines including feature engineering.
- Build low-latency real-time inferencing services.
- Collaborate with teams to develop instrumentation and event pipelines.
- Apply causal and experimental methodologies to measure impact.
- Develop optimization approaches for pricing-like problems.
- Establish ML operational excellence with model observability.
- Partner cross-functionally with various stakeholders.
- Mentor and set technical direction for other engineers.
- Employ diverse tools and platforms for ML system development.
Requirements
- 7+ years of experience building and shipping production ML systems.
- Strong proficiency in Python and ML libraries/frameworks.
- Experience in pricing/monetization or growth optimization preferred.
- Experience designing and deploying real-time model serving.
- Strong data engineering fluency with SQL and Spark/Databricks.
- Knowledge of experiment design and causal measurement.
- Experience implementing ML monitoring for technical and business metrics.
- Ability to break down ambiguous problems and define success metrics.
- Strong leadership and mentoring skills.
- Advanced degree in a related technical field preferred.
Benefits
- Make an impact in a mission-driven organization.
- Work in an innovative and collaborative environment.
- Enjoy competitive pay and comprehensive healthcare benefits.
- Receive financial assistance for hybrid work and family planning.
- Access generous parental leave and flexible time-off policies.
- Participate in learning, development, and recognition programs.
- Contribute to diversity, equity, and inclusion initiatives.
- Engage in community volunteering programs.