Applied AI Engineer

May 23, 2024

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⏰ Full Time

🟢 Junior

🤖 AI Engineer

🚫👨‍🎓 No degree required

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Valence

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Valence is a company that offers AI-powered leadership coaching solutions. Their flagship product, Nadia, is an AI coach that provides personalized, expert, and human-like guidance to leaders and employees. The AI coach is designed to enhance leadership skills, team cohesion, and communication. Valence focuses on leveraging scientifically proven coaching methods and integrating them with internal values and leadership frameworks. They emphasize privacy, security, and compliance, making their solutions enterprise-ready. Valence is aimed at scaling talent development by providing 1:1 coaching opportunities across organizations.

Team Development • SaaS • Human Resources • Team Performance • Manager enablement

11 - 50 employees

🤖 Artificial Intelligence

👥 HR Tech

🏢 Enterprise

📋 Description

• 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.

🎯 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.

🏖️ 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.