Accountabilities:
- Lead the evolution of personalized recommendation systems by developing ranking, sequencing, and next-best-action approaches.
- Build, deploy, monitor, and continuously improve machine learning models powering recommendation experiences.
- Collaborate with analytics teams on instrumentation, data quality, and experimentation.
Requirements:
- Proven experience building recommendation, ranking, search, or next-best-action systems.
- Strong understanding of personalization techniques and ability to start with simple, explainable approaches.
- Experience with distributed systems and technologies such as HTTP, gRPC, or streaming architectures.
Benefits:
- Competitive base compensation and equity opportunities through RSUs.
- Fully remote work environment with global collaboration.
- Annual leave policy offering up to 30 days per year.
Partner Company
The company builds advanced machine learning solutions to improve user discovery and engagement. It operates as a fully remote global team with a focus on collaboration and innovation.