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Platform Deployment Architect

β€’ Remote:
USA Only


At Snorkel AI, we’re redefining how people and organizations build AI applications. Snorkel started as a research project in the Stanford AI Lab in 2016, creating a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying in some of the world’s largest and most sophisticated tech organizations, to empowering scientists, doctors, and journalists β€” we’ve seen firsthand how this approach democratizes and accelerates AI. Now, we’re building Snorkel Flow to bring our technology to everyone!

Building Snorkel Flow requires outstanding engineers and technologies across the stack, including scalable data pipelines, elegant and intuitive interfaces (both visual and programmatic), state-of-the-art ML modeling techniques, and best practices for seamless deployment. Modern AI approaches require large labeled training datasets to learn from. While traditional approaches typically rely on armies of human annotators to label by hand, Snorkel Flow empowers users to programmatically label and build training data sets to drive a radically faster, more flexible, and higher quality end-to-end AI development process. Snorkel Flow is an end-to-end development platform, complete with a GUI and powerful programmatic interfaces for driving the development process for full AI application workflows: from preprocessing, to programmatic training data creation, to ML model training, to analysis, and deployment. It's the data-first platform for enterprise AI.

Excited to help us redefine how AI applications are built? Apply to be the newest Snorkeler!

As a Platform Deployment Architect you’ll lead the successful design and implementation of the Snorkel Flow Platform for our enterprise customers on-premise or hosted cloud environments. This is a new role to Snorkel and will be its founding member responsible for shaping the approach we apply to future customer engagements. You’ll work closely with our internal engineering teams improving the design, architecture and implementation of Snorkel Flow, as well as represent our customer facing teams as Snorkel’s platform expert. This is a phenomenal opportunity to join our customer success team and drive its strategy for the future.


Main Responsibilities

  • Design, prototype, and refine scalable infrastructure for operating Snorkel's machine learning pipeline at scale within customer on-premises and cloud environments
  • Lead the full lifecycle of a customer implementation starting with the initial internal hand-off from our Machine Learning Solution Engineering team to the implementation and testing of the Snorkel Flow Platform
  • Work closely with our Product Management, Product Engineering, and Support teams to resolve issues that occur during the implementation
  • In some situations, provide training and limited post-implementation support
  • Be a Subject Matter Expert (SME) on the Snorkel Flow position, architecture, and product
  • Contribute to the Snorkel user documentation, including but not limited to design, testing, delivery and training


Minimum Qualifications

  • 3+ years experience in a Platform Engineering or similar role
  • Previous experience with cloud infrastructure providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • Hands-on experience with common container and container orchestration solutions, e.g., Docker Enterprise and Kubernetes
  • Comfortable working in Linux environments
  • Excellent problem solving, critical thinking, and interpersonal skills
  • Experience supporting customer engagements as a Solution Architect, DevOps or System Administrator for commercial SaaS solutions
  • B.S. degree in Computer Science, Engineering, or comparable degree/experience


Preferred Qualifications

  • Experience operating Kubernetes orchestration tools in a production setting
  • Proficiency in Python, especially when setting up automation and system monitoring
  • Exposure to authentication protocols like LDAP, SAML and OAuth2
  • Knowledge of industry standard technologies in the Data Science and Machine Learning space
  • Expertise with Terraform
  • Experience implementing software products or solutions to large enterprise companies
  • Comfortable working in a fast-paced, small-team environment where you’ll wear many hats


Be Your Best At Snorkel

Snorkel AI is on a mission to make machine learning practical for everyone, and it starts with building a team that welcomes, represents and gives opportunity to all. We work at the frontier of AI and software engineering, and believe that underrepresented communities need to play a part in shaping the future of these fields. At Snorkel AI, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth.

Snorkelers are supported by an amazing team and an amazing set of benefits. We offer comprehensive medical, dental, and vision plans for Snorkelers and their families, plus a yearly wellness stipend. Our 401k program lets Snorkelers plan for their future with a 100% match up to 5% of annual salary. And our parental leave program lets new parents take up to 20 weeks of paid time off. Learn more about these benefits and more β€” like our workstation setup allowance β€” on our Careers page.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.


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