A Typical Day:
As a staff engineer in Trust, your contributions will span a variety of shapes:
- Build a marketplace of products that ensure safety and privacy of guests and hosts.
- Provide technical vision and support other engineers' growth.
- Work collaboratively with cross-functional partners, including software engineers, data scientists, product managers, and operations to identify opportunities for business impact, and refine and prioritize requirements for fraud detection and mitigation.
- Hands-on develop, productionize, and operate machine learning models and pipelines at scale, including both batch and real-time use cases.
- Enhance and extend risk investigation tools to enable efficient decision-making on behaviors that could result in physical safety or property damage incidents.
Your Expertise:
Education & Experience:
- BS/MS/PhD in Computer Science, Machine Learning or a related field (or equivalent industry experience)
- 10+ years of experience in software engineering in a fast-paced tech environment
- Strong programming skills (Java / Scala / Python / C++ or equivalent) with deep expertise in architectural patterns and designing scalable, fault-tolerant distributed systems in a service-oriented architecture
- Exposure to ML or interest in ML
Leadership & Collaboration:
- Proven experience partnering with cross-functional leaders to define product/technical strategy and drive alignment
- Experience leading large-scale, multi-team, multi-platform projects that require extensive collaboration, influencing and decision-making capabilities
- Strong technical leadership with the ability to mentor engineers and set technical direction for the team
- Desire to work collaboratively with cross-functional partners, such as design, product, data science, infrastructure, policy, operations, and legal partners
- Passion to level-up those around you through curiosity and fostering a collaborative and inclusive team environment
How We'll Take Care of You:
Pay Range
$260,000 USD
Offices: United States