Senior Post-Sales Machine Learning Engineer - Remote in EMEA

Here at Hugging Face, we’re on a mission to drive and democratize Machine Learning. In the process, we help advance technology for the better.

We have constructed the fastest-growing, open-source library of pre-trained models in the world. With over 500K+ models and 250K+ stars on GitHub, more than 15,000 companies are employing HF technology in their operations, including top AI organizations like Google, Elastic, Salesforce, Algolia, and Grammarly.

About the Role

As an early member of Hugging Face’s Success team, your aim will be to expand accounts, focusing particularly on larger companies. Your task will be to reduce the chances of customer drop-off, but more importantly upselling premium services by making recommendations to key decision-makers - typically directors of data science and their internal clients. MLEs in the success team concentrate on service delivery, working closely with customer data scientists and machine learning engineers. As the Senior Post-Sales ML Engineer, you will interact with customer leaders and managers to ensure that they are aware of the value we offer and discuss business challenges that Hugging Face can help solve or speed up.

To be effective in this position, the Senior Post-Sales ML Engineer needs to credibly and relevantly discuss the application of transformers and diffusers models to customer business. He should understand the work being undertaken by MLEs and be able to translate it into value for the customer's business. They should accurately represent the business opportunities corresponding to the latest models and innovations shipped by the Hugging Face teams - without requiring a “technical” individual to simplify it for them.

Expected Responsibilities:

• Understand the challenges and objectives of our customers when using transformers (NLP and Vision primarily).
• Eagerly solve customer problems through research, coding up a solution, or consulting our many in-house experts.
• Build significant relationships with our customers and understand their objectives.
• Explain complex concepts to both technical and non-technical audiences effortlessly
• Constantly learn and share your knowledge with our customers.

Preferred Qualifications:

• Experience in building NLP/Vision solutions. This position is not designed to train someone in ML basics. You should understand the ML Lifecycle and basics of cloud infrastructure.
• Experience with the transformers library. Our customers come to us for our expertise with transformers. We expect you to have good proficiency with transformers, which you will quickly advance.
• Self-motivated: We want individuals that can independently tackle tough challenges. While plenty of knowledgeable and cooperative people within Hugging Face are ready to collaborate, we seek individuals who are self-driven and resourceful.
• Attention to detail: Will you write a meaningful note stating why you want to work at Hugging Face and address what we are seeking?
• Craft and nurture positive customer relationships: we prefer people who are keen to build relationships with customers and help them succeed. This is not a position suitable for a solo coder. You will be collaborating and providing value to our customer’s ML teams.
• Excellent communicator: Can you explain how you solved an issue to someone who isn't technically inclined? This position involves interacting with a range of roles varying from top executives to domain experts and IT professionals.
• Coding ability: Comfortable with writing code scripts and notebooks on transformers/ML Ops use cases that will be reused by customers.
• Quick learner: The field and the company are both growing rapidly: there are new AI/ML breakthroughs practically every week, and Hugging Face continually adds new packages to the open-source community, contributes to open science, and develops more enterprise products. We prefer an individual who enjoys learning about the latest developments and sharing them with customers.
• If you're interested but don't meet all of the requirements, we still encourage you to apply! We're building a diverse team that complements each other's skills, experiences, and backgrounds. We're considering where you could have the most significant impact.

Benefits:

• Be a part of one of the AI industry's most sizzling startups.
• Team up with an extraordinary set of colleagues, who are experts in the fields of academia, open source, and enterprise operations.
• Become an authority on transformers. You will comprehend transformers in the ML lifecycle from pre-training to deployment stages. Moreover, you will witness the numerous applications of transformers across various sectors and stages of development.
• Join an organization that prioritizes impact over strict job roles. We wish our employees to make a great impact within the company and support you in working in a manner that fits you.
• A stimulating environment that fosters learning, sharing, leveraging your unique expertise, and giving and receiving constructive feedback.

More about Hugging Face

Our commitment to diversity, fairness, and inclusivity. We are conscientiously building a workspace where everyone feels respected and supported – irrespective of who they are or where they hail from. We believe this is foundational for building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the grounds of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value development. You will work alongside some of our industry's most intelligent people. We are a company that favors impact and is always challenging ourselves to keep growing. We reimburse all employees for relevant conferences, training, and education expenses.

We care about your well-being. We provide flexible work hours and remote work options. We offer health, dental, and vision benefits to employees and their dependents. We also offer 12 weeks of parental leave (20 for birthing mothers) and unlimited paid time off.

We support our employees regardless of their location. Although we have offices in NYC and Paris, we have a distributed workforce and offer all remote employees the chance to visit our offices. If necessary, we'll also equip your workspace to ensure your success.

We want our team to have a share in our success. All employees are offered company equity as part of their compensation package. If we succeed in defining the category in machine learning and artificial intelligence, everyone stands to benefit.

We believe in supporting the community. We feel that major scientific advancements stem from collaboration within the field. Join a community that supports the ML/AI community.