Responsibilities
- Lead development and maintenance of infrastructure that supports artificial intelligence and machine learning models across core business areas such as growth, recommendations, safety, fraud detection, and seller tools.
- Develop, test, and deploy innovative machine learning models that influence product features and marketplace behavior.
- Create and optimize low-latency, high-throughput inference systems for large-scale models.
- Construct distributed training and inference workflows using GPU resources, with support for model and data parallelism.
- Adapt to evolving technical demands as AI capabilities expand throughout the organization’s ecosystem.
Work Arrangement
Hybrid — available in New York, Seattle, Los Angeles, San Francisco, and remote locations across the US, UK, Ireland, Poland, Germany, and Australia
Other
- Flexible time off policy with company-observed holidays, including seasonal breaks in spring and winter
- Comprehensive health coverage options: medical, dental, and vision insurance
- Support for remote work setups
- One-time stipend for home office equipment
- Monthly reimbursement for internet and mobile phone expenses
- Access to care-related benefits
- Monthly wellness allowance
- Annual financial support for childcare costs
- Lifetime benefit supporting family planning, including fertility and adoption
- Retirement savings plans: 401k with employer match up to 4% of base salary in the US; pension schemes available internationally
- Monthly credit to use the platform directly
- Requirement for all employees to actively engage with the platform as both buyers and sellers
- Paid parental leave: 16 weeks plus a one-month phased return to work
- Company leave policies align with and do not override local legal requirements, which take precedence
