Valence is hiring a
AI Engineer

Summary

Join Valence as a Founding Applied Research ML Engineer and contribute to our first-to-market generative AI leadership coach for large enterprises. Develop conversational interactions, study user behavior, conduct research on new Conversational AI approaches, and more while working closely with the CEO.

Requirements

• Practical experience and theoretical knowledge of conversational systems, with knowledge of voice and dialogue systems, information retrieval and natural language processing
• 2+ years of professional experience as a software engineer, data scientist or other related role
• Research or engineering experience evaluating and improving conversational assistant systems
• Experience with LLM model deployment and maintenance, ideally in a prod environment
• Strong skills in Dialogue/NLP/IR/Deep Learning approaches
• Experience working with Python
• Experience structuring and running data backed experiments
• Strong written and verbal communication skills
• Experience working with Cloud infrastructure (Elastic Container Service, Terraform, Relational Data Store, etc.)
• Exposure to early-stage startups, preferably B2B Saas

Responsibilities

• Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in new ways to advance product goals
• Evaluate and improve existing conversational (LLM-based) models across effectiveness, scalability, and efficiency
• Work with the product team to study user behavior and prioritize evolving requirements
• Experiment at a high velocity, conducting statistical analyses, to optimize for end user experience
• Write, review and deploy code across back, front end as needed
• Research and development on new Conversational AI approaches leveraging cutting edge LLM/NLP advancements
• Documentation of models, prompts, and processes to increase replicability and quality improvement
• Support other coding and feature development where required

Benefits

• Ownership of projects and strategic priorities regardless of seniority in our learning-focused environment
• Strong ties to the executive team, a culture of transparency and engagement with strategic decisions
• Options from day one, which means you will be on the ownership track right away
• Competitive salary and equity packages
• Comprehensive health coverage (medical, dental, and vision) from day 1
• Provision of anything you need to be successful - learning tools, hardware, office equipment, software
• 401k optionality for US based employees
• Generous PTO, company-wide R&R shutdowns and paid leave for parents
• A WFH stipend, phone stipend and support to work in a We Work or other space as preferred