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machine learning architecture evaluation ai tools targetingπ Description
- Lead and support managers building platform systems for personalized recommendations.
- Set the technical vision for targeting, serving, evaluation, and agent-driven systems.
- Decide which platform capabilities to build, keeping teams fast and simple.
- Guide incremental platform evolution for continuous delivery.
- Partner across product, data science, and engineering to align priorities.
- Stay close to technology, contributing to architecture decisions and production challenges.
- Encourage adoption of AI-assisted development tools.
- Hire, develop, and grow engineering leaders and contributors, building an inclusive culture.
π― Requirements
- Experience building and operating ML systems at scale in consumer products.
- Experience with recommender systems, ranking, or content delivery and ML workflows.
- Strong platform thinking to decide between shared capabilities and product-local solutions.
- Comfortable with modern AI tools and their impact on development practices.
- Led teams through change, adopting new technologies or ways of working.
- Collaborate across disciplines to align diverse priorities.
- Build inclusive teams and invest in growth.
- Navigates ambiguity and balances short- and long-term needs.
π Benefits
- Health insurance
- Six months paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
- Paid sick leave
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