Machine Learning Research Intern
IdeogramPart Time
Entry Level & New Grad
Key technologies and capabilities for this role
Common questions about this position
Candidates based in Denver or San Francisco are preferred, but remote candidates with an exceptional fit will also be considered.
Required skills include pursuing a degree in Computer Science, Data Science, or related field; Google Cloud Certified in Generative AI or commitment to obtain it; strong understanding of generative AI tools and prompt design; excellent communication skills; creative problem-solving; organization; and basic coding skills in Python or Java.
This is a 4-month fixed term internship.
The role contributes to a culture of experimentation, continuous learning, and responsible AI use, adhering to The Formstack Standard, in a high-growth tech company focused on AI-native transformation.
Strong candidates are curious, resourceful individuals energized by AI innovation, with required certifications or commitment, AI tool expertise, communication skills, and basic coding ability, preferably located in Denver or San Francisco.
Workflow automation platform for businesses
Formstack provides a platform for workflow automation that helps businesses streamline various processes like sales, employee onboarding, and data collection. Its software is user-friendly and does not require coding skills, making it accessible for users of all technical levels. Key features include digital forms for collecting payments and administering surveys, a document generator that automates data entry into professional documents, and an eSignature solution for obtaining digital signatures on any device. Formstack operates on a subscription-based model, charging clients a recurring fee for access to its services. It caters to a diverse clientele, from small businesses to large enterprises, and integrates with over 250 business systems. A unique offering for Salesforce users allows them to manage forms, documents, and signatures within their Salesforce environment, enhancing their workflow efficiency.