Description:

Hugging Face is seeking a Post-Sales Machine Learning Solutions Engineer for a remote position in the EMEA region.
The role involves helping leading companies successfully utilize AI, ranging from startups to Fortune-500 companies.
Daily tasks may include advising data science teams on best practices, writing Jupyter notebooks to demonstrate new techniques, researching model adaptations for niche domains, and creating technical blog posts.
The engineer will empathize with customers to understand their issues and goals, particularly in using transformers for NLP and Vision.
The position requires building meaningful relationships with customers and explaining complex concepts to both technical and non-technical audiences.
Continuous learning and knowledge sharing with customers is a key expectation.

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 complex 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 customers' ML teams.
Excellent communication skills are required to explain problem-solving processes to non-technical individuals.
Candidates should be comfortable writing code scripts and notebooks related to transformers and ML Ops use cases.
A quick learner is preferred, as the AI/ML field is rapidly evolving, and the company is continuously adding new packages and products.
Applicants are encouraged to apply even if they do not meet every requirement, as Hugging Face values diverse skills and experiences.

Employees will be part of a leading startup in the AI sector and work with a diverse team of experts from various fields.
The position offers the opportunity to become an expert in transformers and understand their application across different industries.
Hugging Face promotes a flexible work environment that emphasizes impact and supports individual working styles.
The company fosters a culture of learning, sharing, and constructive feedback.
Employees receive reimbursement for relevant conferences, training, and education to support their professional development.
Flexible working hours and remote options are available, along with health, dental, and vision benefits for employees and their dependents.
Parental leave and flexible paid time off are also provided.
Remote employees have the opportunity to visit office spaces in NYC and Paris, with support for outfitting their workstations.
All employees receive company equity as part of their compensation, allowing them to benefit from the company's success.
Hugging Face is committed to supporting the ML/AI community through collaboration and engagement.