Machine Learning Engineer

at  Valence

Valence has built the first-ever, first-to-market AI coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. At Valence, we’re not just talking about the future of work – we’re actively shaping it.
From your first interaction with us, you’ll notice we’re different. We’re not just offering a job; we’re inviting you to help transform the future of work by bringing groundbreaking research into real-world applications that will enhance human skills and abilities in the workplace.
At Valence you’ll be helping to architect the future of leadership in the age of AI. And we’ll be honest – this is not for everyone. But for those with an insatiable curiosity, a passion for innovation, and a desire to transform how businesses approach leadership, this could be the career-defining opportunity you’ve been waiting for.
The future of leadership development is waiting, and we want you to help shape it.

THE ROLE

This is a founding Machine Learning Engineer role for our conversational AI coaching product designed for Fortune 500 enterprises, reporting into our Head of AI. In this role you will implement, and optimize machine learning models that power our coaching insights and recommendations. This role is focused on the development and optimization of machine learning models and algorithms, optimizing the underlying ML infrastructure and model development. This role will directly impact our product’s core and shape the future of AI-driven leadership coaching for Fortune 500 enterprises.

WHAT YOU’LL DO

• You will develop scalable data pipelines, optimize models for performance and accuracy, and evaluate them to ensure they are production-ready.
• Develop, design and implement improvements in user experience in conversational interactions leveraging LLMs in new ways to advance product goals.
• Work with the product team to analyze user behavior and prioritize evolving requirements.
• Experiment at a high velocity, conducting statistical analyses, to optimize the end user experience
• Research and development on new Conversational AI approaches leveraging cutting edge LLM/NLP advancements.
• Documentation of models, prompts, and processes to increase replicability and drive quality improvements.
• Stay current with the latest leading research advancements in ML, LLMs, and Conversational AI
• Support other coding and feature development where required