Description:

Hugging Face is seeking a Senior Post-Sales Machine Learning Engineer to join their Success team, focusing on growing accounts with larger companies.
The role involves reducing churn and upselling larger service engagements by making recommendations to decision-makers, primarily directors of data science.
The Senior Post-Sales ML Engineer will engage with customer leads and managers to discuss the value Hugging Face can provide and the business problems they can help solve.
Responsibilities include empathizing with customers to understand their issues and goals, solving customer problems through research and coding, building meaningful relationships, and explaining complex concepts to both technical and non-technical audiences.
The position requires constant learning and sharing of knowledge with customers.

Requirements:

Candidates must have experience building NLP/Vision solutions and a solid understanding of the ML lifecycle and cloud infrastructure.
Proficiency with the transformers library is essential, as customers seek expertise in this area.
The ideal candidate should be a self-starter, capable of tackling hard problems independently while being resourceful and motivated.
Attention to detail is important, including the ability to articulate a meaningful reason for wanting to work at Hugging Face.
Strong customer relationship-building skills are necessary, as the role involves collaboration with customer ML teams.
Excellent communication skills are required to explain solutions to non-technical audiences, including C-level executives and IT professionals.
Candidates should be comfortable writing code scripts and notebooks related to transformers/ML Ops use cases.
A quick learner is preferred, as the AI/ML field is rapidly evolving, and the candidate should enjoy staying updated on new developments.
Hugging Face encourages applications from diverse candidates, even if they do not meet every requirement.

Employees will be part of a leading startup in AI and work with a diverse team of experts from various fields.
The role offers the opportunity to become an expert on transformers and understand their application across industries.
Hugging Face promotes a flexible work environment that focuses on impact and allows employees to work in a manner that suits them best.
The company encourages continuous learning and provides reimbursement for relevant conferences, training, and education.
Employees enjoy flexible working hours, remote options, and health, dental, and vision benefits for themselves and their dependents.
Parental leave and flexible paid time off are also offered.
Remote employees have the opportunity to visit office spaces in NYC and Paris, and the company will provide necessary equipment for a successful workstation.
All employees receive company equity as part of their compensation, allowing them to benefit from the company's success.
Hugging Face supports the ML/AI community and values collaboration for scientific advancements.