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Backend Software Architect

1 week ago


Redwood City, California, United States Snorkel AI Full time

We're on a mission to democratize AI by building the definitive AI data development platform, enabling organizations to unlock the full potential of their data and drive business outcomes.

With a strong foundation in research, our team has made significant advancements in the field of AI, from the early days as a research project in the Stanford AI Lab to the current breakthroughs in generative AI.

The key to achieving differentiation, high performance, and production-ready systems lies in the quality of the data used to build AI models. We work closely with leading organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to develop custom AI solutions faster than ever before.

Main Responsibilities
  • Design, develop, and maintain large-scale systems for AI/ML tasks, including distributed compute systems, data management systems, data engineering workflow systems, and end-user experiences that meet the highest standards of scalability, reliability, and performance.
  • Prototype, optimize, and maintain scalable back-end services that power new ML and foundation model-powered development workflows, ensuring seamless integration with existing systems.
  • Develop extensible and testable interfaces between internal services, including underlying storage and data models, to facilitate efficient data exchange and minimize errors.
  • Maintain healthy CI/CD pipelines and provide engaged on-call support to customers in production, ensuring prompt issue resolution and minimizing downtime.
  • Collaborate with cross-functional teams to drive customer satisfaction and deliver impactful results that align with the company's strategic objectives.
Required Qualifications
  • Bachelor's degree in Computer Science or related field, with a strong understanding of software development principles and practices.
  • At least 2 years of experience in delivering distributed and ML systems and services in a production setting for cloud-native applications, with a proven track record of success.
  • Experience with distributed compute frameworks and data processing pipelines, including design, implementation, and optimization.
  • Ability to design and build efficient, scalable data storage, compute, and retrieval systems for AI/ML tasks, ensuring high performance and low latency.
  • Strong communication and coding skills, with an emphasis on designing for scale, robustness, and maintainability.
  • Proficiency in Python programming language, with experience in debugging and troubleshooting complex issues.
Preferred Qualifications
  • 8 years of professional software engineering experience, with a focus on architecting and developing production web-scale systems.
  • Experience working with ML systems and foundation models, including large language models, and expertise in designing and implementing effective data pipelines.
  • Track record of owning delivery of large multi-person, multi-quarter projects, with experience in managing stakeholders and meeting deadlines.
  • Expertise in developing enterprise software products for machine learning and/or data science applications, with a deep understanding of industry trends and best practices.

We offer a highly competitive compensation package, including equity compensation in the form of employee stock options, designed to attract and retain top talent in the field.