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Posted 8 months ago
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The RoleThis 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 ValenceWe'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 DoYou 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 experienceResearch 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 AISupport other coding and feature development where requiredWhat We're Looking ForBachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience3+ 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 RetrievalStrong foundation in data structures, algorithms, and software engineering principles.Proficiency in Python and relevant deep learning frameworks; training (e.g. PyTorch, Tensorflow, JAX, Hugging Face Transformers/Adapters), serving (e.g., Hugging Face TGI//outlines, vLLM)Experience with LLM model development and deployment ideally including experience with model distillation, supervised fine-tuning using RLHF/DPO, and automatic prompt tuning (e.g. DSPy, TextGrad)Experience with cloud deployment of ML systems (e.g., AWS, GCP, Azure) including and open systems (e.g. Docker and Kubernetes) and associated ML services.Strong analytical and problem-solving skillsExperience structuring and running data-backed experimentsStrong written and verbal communication skillsExposure to early-stage startups, preferably B2B SaaSWhat You'll GetOwnership & Rapid GrowthOutsized missions from day one, with direct responsibility for company-defining projectsWork alongside the executive team with transparency into strategy and decision-makingInfluence on direction through real-time customer feedback and market insightsAI-First OperatorWork directly with cutting-edge AI models and next-generation platformsBuild expertise in enterprise AI implementation across Fortune 500 companies and multiple industriesEstablish yourself as a recognized leader among peers in shaping how AI transforms work at a global scaleCompensationCompetitive salary including base + bonusesComprehensive health coverage (medical, dental, vision) from day oneGenerous PTO, company-wide R&R shutdowns, and paid parental leaveRetirement plan support for US and global employeesEquityMeaningful ownership in a venture-backed company at a growth inflection pointFinancial upside that comes from scaling fastTop-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impactTop-Performing CultureA culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins togetherLearn more about us and meet our team hereLocation and Work EnvironmentIf candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.Diversity and InclusionWe are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at [email protected].
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