Hugging Face is hiring a
Senior Machine Learning Engineer, Remote - United States

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Senior Machine Learning Engineer

🏢 Hugging Face

💵 $120k-$200k
📍United States

Summary

The job is for a Senior Post-Sales ML Engineer at Hugging Face, focusing on growing accounts and upselling services to larger companies. The role involves understanding customer issues with transformers (NLP and Vision primarily), building relationships, explaining complex concepts, and learning quickly about state-of-the-art developments in AI/ML.

Requirements

  • Experience building NLP/Vision solutions
  • Understanding of the ML Lifecycle and basics of cloud infrastructure
  • Experience with the transformers library
  • Self-starter: ability to tackle hard problems independently
  • Attention to detail
  • Customer relationship builder: excitement to build relationships with customers and help them succeed
  • Great communicator: ability to explain problems to non-technical audiences
  • Comfortable writing code scripts and notebooks on transformers/ML Ops use cases that will be reused by the customers

Responsibilities

  • Empathize with customers to understand their issues and goals when using transformers (NLP and Vision primarily)
  • Solve customer problems through research, coding up a solution, or talking to in-house experts
  • Build meaningful relationships with customers and understand their goals
  • Comfortably explain complex concepts to both technical and non-technical audiences
  • Constantly be learning and sharing your knowledge with customers

Benefits

  • Be part of one of the hottest startups in AI
  • Work with a diverse outstanding set of team members that are experts in academia, open source, and working with enterprises
  • Become an expert on transformers. You will understand transformers within the ML lifecycle from pretrain to deployment
  • Work within an organization that focuses on impact rather than a top-down structure around specific duties
  • Flexibility to work in a way that best suits you
  • An environment that encourages and cultivates learning, sharing, using your individual expertise, and constructive feedback
  • Health, dental, and vision benefits for employees and their dependents
  • Parental leave and flexible paid time off
  • Remote work options and office visits
  • Company equity as part of compensation package
  • Support for the community: joining a community supporting the ML/AI community

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