Machine Learning Engineer

📋 Description

• • Valence is at the forefront of revolutionizing enterprise leadership development with its unique AI-native coaching platform. We are not merely discussing the future of work; we are actively constructing it, collaborating with the most innovative Fortune 500 companies across critical sectors like healthcare, financial services, manufacturing, and technology. Our mission is to tackle the most challenging problems that determine whether AI truly transforms how organizations operate – those without established playbooks, obvious solutions, or guaranteed outcomes. If you aspire to be part of the select group that defines the global impact of AI, this is your unparalleled opportunity. This role is specifically for a Machine Learning Engineer focused on our sophisticated conversational AI coaching product, designed for Fortune 500 enterprises. You will report directly to our Head of AI, playing a pivotal role in the implementation, refinement, and optimization of the machine learning models that are the engine behind our unique coaching insights and personalized recommendations.
• • Your responsibilities will encompass the end-to-end development and optimization of cutting-edge machine learning models and algorithms. This includes not only the algorithmic aspects but also the critical task of optimizing the underlying ML infrastructure to ensure scalability, efficiency, and robustness. You will be instrumental in shaping the model development lifecycle, from experimentation and prototyping to deployment and continuous improvement. This role offers a unique chance to directly influence the core functionality of our product and profoundly shape the future trajectory of AI-driven leadership coaching for the world's largest and most influential companies.
• • At Valence, we are pioneers in applying an AI-first approach to leadership coaching for large enterprises. Our core mission is to fundamentally transform how global corporations approach learning and development. We empower teams to collaborate more effectively through AI-powered personalization that dynamically adapts to individual career goals and intricate organizational cultures, leveraging the most advanced breakthroughs in machine learning and natural language processing. Our innovative work has garnered significant recognition, with features in prestigious publications such as Harvard Business Review, TIME, World Economic Forum, Financial Times, and Forbes, and we have been recognized as an Inc. 5000 fastest-growing private company in America.
• • Our client roster includes some of the most diverse and sophisticated enterprise AI implementations globally. We partner with industry leaders such as Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS, and Bristol Myers Squibb. Engaging with Valence means you will collaborate directly with Fortune 500 technology leaders, cultivating deep expertise through the lens of highly complex enterprise deployments. You will gain invaluable insights into the varied and sophisticated organizational strategies for AI transformation. These are not just any enterprise clients; they are the organizations actively defining what an AI-first business transformation looks like across every major industry, setting the pace for global innovation.
• • As a Machine Learning Engineer, you will be deeply involved in the entire ML lifecycle. This includes data preprocessing and feature engineering, selecting and implementing appropriate ML algorithms (e.g., deep learning, NLP models, reinforcement learning), training and evaluating models, and deploying them into production environments. You will work with large-scale datasets, ensuring data quality and integrity. A significant part of your role will involve performance tuning, identifying bottlenecks, and optimizing models for latency, throughput, and accuracy. You will also contribute to the research and development of novel ML techniques relevant to conversational AI and personalized coaching, staying abreast of the latest academic and industry advancements. Collaboration with cross-functional teams, including product managers, software engineers, and domain experts, will be essential to translate business needs into effective ML solutions. You will play a key part in building and maintaining robust ML pipelines and infrastructure, ensuring reproducibility and scalability. Your contributions will directly impact the user experience of our coaching platform, enhancing the quality and relevance of the AI-generated guidance provided to leaders and employees worldwide. This is an opportunity to work on challenging, real-world AI problems with significant business impact, contributing to a product that is redefining professional development at scale.