We are seeking a highly experienced and strategic Staff Machine Learning Engineer to join our AI & Data Science team. This is a senior-most individual contributor role where you will be responsible for owning the end-to-end Machine Learning Development Lifecycle (MDLC).
Requirements
- Architect and Innovate: Lead the design, development, and deployment of complex, production-grade ML systems and data pipelines, particularly for Natural Language Processing (NLP) and Generative AI applications.
- Solve High-Complexity Problems: Serve as a domain expert in the application of AI to solve core business challenges, including sentiment analysis, content moderation, product recommendations, and personalized search.
- Technical Leadership: Drive innovation by identifying and addressing high-impact technical challenges and long-standing technical debt within our ML and data infrastructure.
- Mentorship and Standards: Provide technical mentorship to other engineers on the team and beyond, raising the bar for engineering excellence, maintainability, and best practices across the organization.
- Cross-Functional Collaboration: Collaborate closely with Data Scientists, Product Managers, and other engineering teams to translate complex business requirements into robust, data-driven ML solutions.
- Operational Excellence: Implement and oversee MLOps practices, including automated CI/CD pipelines, model monitoring, and governance, to ensure our systems are reliable, reproducible, and performant at scale.
- Observability: Implement robust observability frameworks to proactively detect and diagnose issues like model drift, data quality anomalies, and performance degradation in production.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Health Insurance
- Flexible Working Hours
- Stock Options
- Professional Development Opportunities