AI Engineer I

Our goal is to deliver the next-generation of Conversational AI (CAI), including the latest in Generative AI/Foundation Model technology. We are looking for a CAI Engineer II to pursue and implement exceptional conversational experiences at scale. The role involves delivering state-of-the-art Conversational AI products, bridging the gap between generative AI capabilities and applications, extending foundation model capabilities, implementing production-level ML-focused code, and developing authorship tooling for building and maintaining dialogue management products. The ideal candidate should have a quantitative or computational background, industry/academic experience with AI systems, proficiency in Python, and experience with Natural Language Understanding and/or Conversational AI techniques.

• Deliver state-of-the-art Conversational AI products at a global scale to tens of millions of consumers.
• Bridge the gap between (in house and external) generative AI capabilities and applications that use them to automate conversations at scale.
• Extend the latest foundation model capabilities to take action and solve real customer problems.
• Implement and deliver production-level ML-focused code.
• Identify and rapidly prototype supporting technologies to showcase conversational elegance.
• Develop authorship tooling for building and maintaining dialogue management products at scale.
• Design conversational experiences for end-users (preferred qualification).
• Conduct usability studies and focus groups (preferred qualification).
• Deploy Machine Learning models into production (preferred qualification).

• B.S. in a quantitative or computational field such as Computer Science, Artificial Intelligence, or equivalent experience
• 2 years of industry/academic experience with AI systems
• Experience delivering production software
• Proficient in Python
• Experience with Natural Language Understanding and/or Conversational AI techniques
• Experience with communicating insights and presenting concepts to diverse audiences
• Team player mindset and ability to work in an interdisciplinary team
• Experience designing conversational experiences for an end-user (preferred)
• Experience conducting usability studies and focus groups (preferred)
• Experience deploying Machine Learning models into production (preferred)

• Health benefits: medical, dental, and vision
• Time away benefits: vacation and holidays
• Development benefits: Native AI learning and Fast track growth opportunities
• Equal opportunity employer
• Flexible work-life balance
• Recognition as a top innovative, beloved, and remote-friendly workplace
• Belonging and equal opportunity for all applicants and employees
• Reasonable accommodations for applicants with disabilities