Pre-Sales Machine Learning Solutions Engineer - US Remote

March 19

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Hugging Face

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The AI community building the future.

machine learning • natural language processing • deep learning

51 - 200

Description

• Drive early engagements with prospects • Understand customer technical challenges and existing technology stack • Articulate Hugging Face’s technical differentiation, integration within existing customer technical stack, and technical value prop • Design and present technical solutions to meet customer needs • Coordinate company-wide assets to drive technical engagements forward. Pull in relevant stakeholders (founders, eng, product, ...) as necessary • Become a trusted technical advisor • Ensure successful POCs • Be the clear owner of early customer deployments and drive successful implementation • Identify technical issues and coordinate company resources to the resolution • Be the voice of the customer internally • Collaborate cross-functionally with PM, Eng, Marketing, and Sales to communicate customer priorities • Influence roadmap and GTM decisions, infusing customer priorities into every decision we make • Evangelize Hugging Face and our vision • Become a recognized voice of the company and spokesperson at events, meetups, and within communities

Requirements

• 2 years of experience in a technical sales capacity is preferred, but not required. The Machine Learning Engineer could have a background in technical selling complex solutions of mission-critical data systems (databases, data warehouses), big data systems, analytics, and/or machine learning - or 3 years of building and delivering Machine Learning solutions to internal customers. • At least 2 years of experience building NLP solutions, including 1 year with the transformers library • Self-starter: Clear, consistent demonstration of self-starter behavior and a desire to tackle hard technical problems • Entrepreneurial: Scrappy, self-motivated, and resourceful (Creative, Bold, Risk Taking) • Grittiness: You never hesitate to roll up your sleeves and tackle something hands-on; you persevere when others fall away • Customer relationship builder: Excellent at building deep relationships with prospects and customers and becoming a trusted technical advisor. Understands and prioritizes customer needs and is a respected voice of the customer within the company. • Great communicator: Exceptional presentation and communications capabilities. Confidence presenting to a highly skilled and experienced audience, including enterprise architects and C-level executives • Deep technical understanding: Masterful understanding of data and ML tooling, workflows, and trends in an enterprise setting • Proficiency in Python, Spark, and SQL with experience developing NLP applications • Bachelor’s level degree in Computer Science or relevant experience

Benefits

• Flexible working hours and remote options • Health, dental, and vision benefits for employees and their dependents • Parental leave and flexible paid time off • Reimbursement for relevant conferences, training, and education • Company equity as part of compensation package