Machine Learning Engineer

Overview

Valence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology.

Our focus is on the problems that actually decide whether AI changes how organizations operate — the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance.

And this isn’t for everyone. We’re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what’s possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself.

The Role

This role is a 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.

About Valence

We re the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world s biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing.

We ve been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb.

Working at Valence means you ll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren t just any enterprise clients - they re the companies defining what AI-first business transformation looks like across every major industry.

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

What We re Looking For

• Bachelor s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience

• 3+ years of professional experience (or equivalent) in software engineering, AI/ML development (ideally including a Master s or Ph.D. in Computer Science, ML, Data Science, or a related field)

• Practical experience and theoretical knowledge of language technologies such as: dialogue/conversational systems, NLP, and Information Retrieval

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