ML Solutions Engineer
At Galileo, our mission is to make AI safe and available to all. Our roots lie in leading the creation of some of the world’s most widespread AI applications from Apple’s Siri to Google Speech.
We believe that AI builders need well crafted tools to create trustworthy and high quality generative AI applications that will change how we work and live. Galileo addresses the challenges of experimenting with, evaluating, and observing LLM and GenAI applications, streamlining the development process for developers and teams.
In a few short years since its inception, Galileo is already used by Fortune 10 banks, Fortune 50 telecommunications companies, as well as AI teams at Reddit, Headspace Health and many others.
Role Description:
At Galileo, you’ll work on a groundbreaking product that is poised to revolutionize the way companies approach evaluating their GenAI applications.
Main Responsibilities:
As an early ML Solutions Engineer at Galileo, you will play a foundational role in designing, building, and scaling our products.
- Engage with sales prospects and customers
- Work in tandem with the enterprise sales team to win deals
- Conduct technical presentations/demos of Galileo GenAI studio
- Act as a trusted advisor to customers in support of their GenAI initiatives
- Lead proof-of-concept evaluations of Galileo products in support of customer engagements
- Conduct trainings and workshops focusing on industry best practices for developers
- Develop client oriented documentation in support of Galileo evaluations
- Troubleshoot customer support requests with Galileo products
- Collaborate with product and engineering teams to share valuable product insights and client feedback
Minimum Qualifications:
We’re looking for an exceptional ML Solutions Engineer, interested in solving complex problems at the intersection of Data and ML.
- 2+ years of enterprise software experience as a Solutions/Sales Engineer in a ML or Data Science focused role
- Strong track record of driving customer pilots to technical wins
- Experience with being the technical lead on enterprise sales deals
- Proficiency in building innovative technical demos / proof-of-concepts
- Strong track record of helping customers onboard onto complex platforms
- Experience with Python libraries like Streamlit, LangChain, Sentence-Transformers, and OpenAI
- Experience with writing and maintaining customer facing API documentation
Preferred Qualifications:
- Previously a ML Engineer/Data Scientist who loved working with customers prior to making the transition to a Solutions/Sales Engineer role
- Background in engineering or data science
- Biasing towards thoughtful action with minimal direction
Why Galileo:
- This is an opportunity to join a seasoned founding team that has previously led product and engineering teams from 0 to $100M+ in revenue and from 0 to 1B+ users globally
- We obsess over our team’s culture driven by inclusivity, empathy and curiosity
- We invest in our team’s development and happiness because our employees are the keys to our success and ensuring happy customers – towards that end, we offer:
- Unlimited PTO
- Parental leave – 100% pay for 8 weeks
- Medical, Dental and Vision Insurance
- 401 (K) Retirement Savings Plan
- Early stage equity
- Mental and Physical Wellness Stipend
- Daily Lunch Stipend
- Offices in San Francisco and New York
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