About the Role
Title: Post-Sales Machine Learning Solutions Engineer – US Remote
Location: Remote Remote US
JobDescription:
Here at Hugging Face, were on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.
We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.
As an early member of Huggings Faces Success team, you will help leading companies successfully use AI. Companies range from cutting-edge startups to Fortune-500 giants. On a typical day, you might be advising data science teams on best practices for building models, writing a Jupyter notebook to show off a new technique developed by our researchers, researching the best way to adapt models to a niche domain, or working on a technical blog post. Your technical ability and drive to help others are key. With that, you will help the most sophisticated customers unlock the value of AI.
What you are expected to do:
- Empathize with our customers to understand their issues and goals when using transformers (NLP and Vision primarily).
- Have the scrappiness and be excited to solve customer problems through research, coding up a solution, or talking to our many in-house experts.
- Build meaningful relationships with our customers and understand their goals.
- Comfortably explain complex concepts to both technical and non-technical audiences
- Constantly be learning and sharing your knowledge with our customers.
What we are looking for:
- Experience building NLP/Vision solutions. We need people to hit the ground running and this position is not intended to train someone in the fundamentals of ML. You should understand the ML Lifecycle and basics of cloud infrastructure.
- Experience with the transformers library. Our customers come to us for our experience with transformers. We expect you to already have good proficiency with transformers and you will quickly become an expert.
- Self-starter: We need people that can tackle hard problems independently. While there are plenty of gracious smart people that are eager to collaborate within Hugging Face, we are looking for people who are scrappy, self-motivated, and resourceful.
- Attention to detail: Will you write a meaningful paragraph for why you want to work at Hugging Face that touches upon what we are looking for?
- Customer relationship builder: We want people who are excited to build relationships with customers and help them succeed. This isnt a role for a heads-down coder. You will be collaborating and providing value to our customers ML teams.
- Great communicator: Can you explain how you solved a problem to someone that isnt technical? This role involves talking to a variety of roles from C-level executives, to domain experts, and IT professionals.
- Coding: You should be comfortable writing code scripts and notebooks on transformers/ML Ops use cases that will be reused by the customers
- Learn quickly: The field and company are both moving very fast: new breakthroughs in the AI/ML space come out practically every week, and Hugging Face is constantly adding new packages to the open-source community, contributing to open-science, and building more enterprise products. We want someone that enjoys learning about state-of-the-art developments and sharing them with customers.
- If you’re interested in joining us, but don’t tick every box above, we still encourage you to apply! We’re building a diverse team whose skills, experiences, and backgrounds complement one another. We’re happy to consider where you might be able to make the biggest impact.
What you will get:
- 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. Furthermore, you will see how transformers are used across many industries and stages of development.
- Work within an organization that focuses on impact rather than a top-down structure around specific duties. We want people to have a huge impact inside the company and support you in working in a manner that works best for you. 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.