Snorkel AI is hiring a
Machine Learning Customer Engineer

closed
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Snorkel AI

πŸ’΅ $120k-$160k
πŸ“Remote - United States

Summary

The job is for an ML Customer Engineer at Snorkel AI, a company that aims to democratize AI by building an AI data development platform. The role involves partnering with customers to design, build, troubleshoot, and deploy AI applications, resolving technical issues, collaborating cross-functionally, educating customers on machine learning concepts, and contributing to the company's growth.

Requirements

  • 2+ years experience working in a technical customer-facing role, e.g., technical support or account management, management consultant or customer success
  • B.S. degree in a quantitative field such as Computer Science, Engineering, or comparable degree/experience
  • Previous experience working on machine learning projects or industry knowledge of standard technologies in the machine learning space
  • Proficiency in writing Python for either Data Science, Machine Learning, or other distributed systems workloads
  • Outstanding organizational skills and ability to multitask in order to effectively prioritize and manage customer requests
  • Experience with common support software like Zendesk, Jira, and Slack

Responsibilities

  • Partner with Snorkel Flow users to design, build, troubleshoot and deploy AI applications
  • Lead the resolution of critical technical issues
  • Perform live working sessions to analyze and address customer reported issues
  • Prioritize, document and coordinate customer issues with account assigned ML Success Managers and the Snorkel engineering team
  • Contribute to internal and external guides and docs, improving our self-service support materials
  • Become an expert in the Snorkel Flow platform and assist our customers do the same
  • Drive improvements in issue triage, reporting, and analysis to better understand customer pain points

Preferred Qualifications

  • Expertise in modern ML frameworks and libraries, e.g., PyTorch, Scikit-learn, Numpy, SciPy, and HuggingFace
  • Track record of collaboration across field and engineering teams to manage support issues and resolution within accounts
  • Previous experience with cloud infrastructure providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • Experience operating Kubernetes orchestration tools in a production setting

Benefits

  • Comprehensive medical, dental, and vision plans for Snorkelers and their families
  • A yearly wellness stipend
  • Our 401k program lets Snorkelers plan for their future
  • The parental leave program lets new parents take up to 20 weeks of paid time off
This job is filled or no longer available

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