• Prototype, optimize, and maintain scalable back-end services that will power new ML development workflows
• Design extensible and testable interfaces between internal services including the underlying storage and data models
• Own the architecture, design, development, and operations of large-scale systems designed for AI/ML tasks including data management systems, data engineering workflow systems, distributed compute systems and connect to the front-end components
• Work with customers to understand their product use case, desired capabilities, and scale requirements and translate that to engineering specifications and code
• Be an engaged team player in a customer-focused cross-functional environment where you will feel excited to take on whatever is most impactful for the company and product
• Work a hybrid schedule with one or two days per week in our Redwood City HQ and work remotely with "No Meeting" Tuesdays and Thursdays

Required Qualifications

• Bachelor's degree in Computer Science or related field
• 4 years experience in delivering distributed systems and services in a production setting for cloud-native applications
• Ability to design and build efficient scalable data storage and retrieval systems for AI/ML tasks
• Strong communication and coding skills with emphasis on designing for scale and robustness
• Proactive and positive attitude to lead, learn, troubleshoot and take ownership of shipping multi-quarter large feature development as well as immediate debugging and unblocking customers

Preferred Qualifications

• 8 years of professional software engineering experience
• Experience with architecting and developing production web-scale systems (monitoring, telemetry, performance, reliability, triage and debug)
• Strong development and debugging skills in Python
• Experience developing enterprise software products for machine learning and/or data science applications
• Experience with distributed compute frameworks and/or deep learning frameworks
• Experience building and maintaining large scale, distributed and high performance data pipelines

The salary range for this position based in the San Francisco Bay Area is $163,000.00 - $210,000.00. All offers include equity compensation in the form of employee stock options.