Machine Learning Engineer - Infrastructure

Nextdoor • San Francisco, CA

296d • $205,000 - $336,000 • Hybrid

About The Position

Nextdoor is looking for great engineers to join our machine learning team, which is crucial for transforming our product through personalization. The team is focused on building data-intensive products and foundational Machine Learning (ML) infrastructure that will empower our Data Scientists and ML engineers. This role involves working with large datasets, writing design documentation, and maintaining distributed systems to enhance the Nextdoor platform.

Requirements

• Master / Ph.D. in Computer Science, Applied Math, Statistics, Engineering or a related field.
• 3+ years of industry experience applying machine learning at scale.
• 3+ years of experience in building performant and scalable backend services.
• 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.
• Extensive experience in one or more of the following languages: Python, Go, Java, or Scala.
• Experience in designing, building, and debugging distributed systems.
• Proven engineering skills with experience in writing and maintaining high-quality production code.
• Strong collaboration and communication skills, both verbal and written.
• Ability to succeed in a dynamic startup environment.

Nice To Haves

• A deep empathy for customer needs and insights.
• Strong ability to partner with other data engineers throughout the company.

Responsibilities

• Design, implement and integrate the next generation of Machine Learning infrastructure.
• Empower Data Scientists and Machine Learning engineers to build ML models that make real-time decisions for the Nextdoor platform.
• Collaborate with other engineers and data scientists to create optimal experiences on the Core ML platform, including the featurestore, real-time serving layer, and offline training system.

Benefits

• Starting salary range from $205,000 to $336,000 annually.
• Meaningful equity grant with equal quarterly vesting.
• Variety of health plans, including a 100% covered employee only plan option.
• OneMedical membership for concierge care.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Religious, Grantmaking, Civic, Professional, and Similar Organizations
• Education Level: Master's degree
• Number of Employees: 501-1,000 employees