Nextdoor is looking to build a foundational Machine Learning infrastructure to empower developers to build better ML products more quickly.
Requirements
- Experience with Python, Kubernetes, Go, Kafka, Docker, Spark, SQL, AWS and the Unix environment
- Experience with machine learning libraries and frameworks like Xgboost, Sklearn, TensorFlow, PyTorch, etc
- Experience in designing, building, and debugging distributed systems
- Experience with building performant and scalable backend services
- Extensive experience in one or more of the following languages: Python, Go, Java, or Scala
Responsibilities
- Design, implement and integrate the next generation of Machine Learning infrastructure
- Collaborate with other engineers and data scientists to create optimal experiences on the Core ML platform
- Build, debug, and maintain highly available distributed systems
- Work with data and features to build data-intensive products
- Write crisp design documentation
Other
- Master / Ph.D. in Computer Science, Applied Math, Statistics, Engineering or a related field
- 3+ years of industry experience of applying machine learning at scale
- A deep empathy for customer needs and insights as well as an intuitive grasp of the business problems we’re trying to solve
- Strong collaboration and communication skills, both verbal and written
- Ability to succeed in a dynamic startup environment
