Pre-Sales Machine Learning Solutions Engineer, Hugging Face
Cloud Partner
+ Equity
Community-driven platform for ML models
Job no longer available
Community-driven platform for ML models
201-500 employees
Job no longer available
+ Equity
201-500 employees
Company mission
Hugging Face is on a mission to democratize good machine learning, one commit at a time.
Role
Who you are
- 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
- Experience dealing with Cloud providers (AWS, Azure, GCP ...)
- 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
What the job involves
- 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
Otta's take
Theo Margolius
COO of Otta
Large language models, which recognize and generate text, are already being used to auto-complete sentences, power chat bots, moderate content, summarize news articles, and translate text online. However, many of these advances are happening behind closed doors, stifling innovation and raising ethicacy concerns.
To combat this, Hugging Face is building the "GitHub of machine learning". It’s a community-driven platform with a ton of repositories, where developers can create, discover and collaborate on ML models, datasets and ML apps. This work led to the creation of BLOOM in 2022, an open-access LLM with similar architecture to OpenAI’s GPT, but that is multilingual by design.
The company also launched the Hugging Chat Assistant, an open-source tool to create personalised chat assistants, in direct competition to OpenAI's paid service ChatGPT Plus. By continually creating value based on a global community, not just for Microsoft or Google, HuggingFace should be able to carve out its own path for success.
Insights
Company
Funding (last 2 of 7 rounds)
Aug 2023
$235m
SERIES D
May 2022
$100m
SERIES C
Total funding: $395.8m
Company benefits
- Flexible Work Environment
- Health Insurance
- Unlimited PTO
- Equity
- Growth, Training, & Conferences
- Generous Parental Leave
Company values
- A strong bias for action and impact
- A generalist & diverse mindset
- A decentralized, progressive and nimble approach
- A kind ambition
Company HQ
Dumbo, NY
Articles
Founders
Clem Delangue
(CEO)Created Moodstocks, a startup building machine learning for computer vision acquired by Google. Also built Mention where they were head of Product and CMO until the company was acquired by MyNewsDesk.
Julien Chaumond
(CTO)Former advisor for the Deputy Minister for Digital Affairs in Paris, and Senior engineer for Stupefix app that was acquired by GoPro. Also co-founded and was CTO of Glose.
Thomas Wolf
(CSO)After graduating from Ecole Polytechnique, they worked on laser-plasma interactions at the BELLA Center of the Lawrence Berkeley National Laboratory. Also worked as a European Patent Attorney for 5 years.
People progressing
Lysandre started as an intern back in 2019 and now leads our Open Source team!
Diversity & Inclusion at Hugging Face
Emily Witko (DEIB and People Generalist)
- DEIB, at its core, is simply a set of daily practices and behaviors shaped by values that help us understand each other better, respectfully, and with care, despite what we have learned and believe.
- We are a values-driven organization motivated by a shared mission – good ML. To achieve this mission, we must invest in our people. We must foster a diverse and inclusive culture where employees at every level feel empowered to do their best work, are comfortable speaking up and sharing different perspectives, and are met with a strong sense of belonging. A culture where all employees are recognized and valued for their contributions, awarded ample access to opportunity, and are held accountable for how they show up for each other
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