Machine Learning Engineer Job at Valence in New York

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

Strong 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 skills

Experience structuring and running data-backed experiments

Strong written and verbal communication skills

Exposure to early-stage startups, preferably B2B SaaS

What You’ll Get

Ownership & Rapid Growth

Outsized missions from day one, with direct responsibility for company-defining projects

Work alongside the executive team with transparency into strategy and decision-making

Influence on direction through real-time customer feedback and market insights

AI-First Operator

Work directly with cutting-edge AI models and next-generation platforms

Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries

Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale

Compensation

Competitive salary including base + bonuses

Comprehensive health coverage (medical, dental, vision) from day one

Generous PTO, company-wide R&R shutdowns, and paid parental leave

Retirement plan support for US and global employees

Equity

Meaningful ownership in a venture-backed company at a growth inflection point

Financial upside that comes from scaling fast

Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact

Top-Performing Culture

A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together

Location and Work Environment
If 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 Inclusion
We 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 jobs@valence.co.

Employment Verification & Commitment
We use third-party services to verify employment history, education, and other information relevant to your candidacy. Employment is contingent upon the successful completion of these verification checks. This is a full‑time role that requires a high level of focus, availability, and commitment. Employees may not hold concurrent full‑time employment with another organization while employed at Valence. Any outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with job responsibilities, availability, performance, or create a conflict of interest - including risks related to confidentiality, intellectual property, or competition.

#J-18808-Ljbffr

In Summary: Valence has built the only AI native coaching platform for enterprise, offering personalized, expert-like guidance and support to any leader or employee . The role is a Machine Learning Engineer for our conversational AI coaching product designed for Fortune 500 enterprises . We're not just talking about the future of work — we're building it now .

En Español:

Valence ha construido la única plataforma de coaching nativa de IA para empresas, ofreciendo orientación y apoyo personalizado, experto y humano a cualquier líder o empleado. No estamos hablando solo del futuro del trabajo lo estamos construyendo ahora, con las compañías más innovadoras de Fortune 500 en atención médica, servicios financieros, fabricación y tecnología. Nuestro enfoque se centra en los problemas que realmente deciden si AI cambia cómo operan las organizaciones aquellos sin un libro de juego, ninguna respuesta obvia, ni garantía de éxito. Si quieres ser parte del pequeño grupo que define cómo AI transforma el futuro a escala global, este es tu papel. Y esto no es para todos. Este papel tendrá un impacto directo en el núcleo de nuestro producto y dará forma al futuro del coaching dirigido por la IA para las empresas Fortune 500. Sobre Valence Somos la única empresa pionera en el entrenamiento de liderazgo para grandes empresas de una manera AI-primero. Nuestra misión es transformar la forma en que las compañías más grandes del mundo se acercan al aprendizaje y desarrollo, ayudando a los equipos a trabajar mejor juntos a través de la personalización impulsada por inteligencia artificial que se adapta a objetivos individuales y cultura organizacional utilizando los últimos avances en aprendizaje automático y procesamiento de lenguajes naturales. Hemos sido presentados en Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes e Inc. 5000 empresas privadas de mayor crecimiento en América. Estas no son solo clientes empresariales - son las empresas que definen cómo se ve la transformación de negocios con IA en primer lugar en todas las industrias principales. Lo que harás Desarrollará tuberías de datos escalables, optimizará modelos para el rendimiento y precisión, y los evaluará para asegurarse de que estén listos para producción. Desarrolle, diseñe e implemente mejoras en la experiencia del usuario en interacciones conversacionales aprovechando los LLM de nuevas maneras para avanzar en los objetivos del producto. Trabaje con el equipo de productos para analizar el comportamiento del usuario y priorizar los requisitos en evolución. Experimente a gran velocidad, realice análisis estadísticos, para optimizar la experiencia al usuario final Investigación y desarrollo sobre nuevos enfoques de AI conversacional utilizando avances avanzados en LLM/NLP. Documentación de modelos, solicitudes y procesos para aumentar la replicabilidad y impulsar mejoras de calidad. Manténgase actualizado con los últimos desarrollos profesionales en ingeniería de software, incluyendo una licenciatura en Ingeniería de Computación (MA) o un Ph.D. En ciencias de la computación, ML, Ciencia de datos o un campo relacionado) Experiencia práctica y conocimiento teórico de las tecnologías del lenguaje como: sistemas de diálogo/conversaciones, NLP e recuperación de información Una base sólida en estructuras de datos, algoritmos y principios de ingeniería de software. Proficiencia en Python y los marcos relevantes de aprendizaje profundo; capacitación (por ejemplo PyTorch, Tensorflow, JAX, Hugging Face Transformers / Adapters), servicio (por ej., Hugging Face TGI//outlines, vLLM). Docker y Kubernetes) y servicios ML asociados. Fuertes habilidades analíticas y de resolución de problemas Experiencia en estructurar y ejecutar experimentos respaldados por datos en tiempo real AI-First Operator Trabajar directamente con modelos de plataformas de IA vanguardistas y nuevas generaciones Exposición a startups, preferiblemente B2B SaaS Lo que obtendrá propiedad & crecimiento rápido Misiones extraordinarias desde el primer día, con responsabilidad directa para proyectos que definen la empresa Trabaja junto al equipo ejecutivo con transparencia en la estrategia y toma de decisiones Influir en la dirección mediante retroalimentación del cliente y conocimientos sobre el mercado AI-Primero operador Trabajando directamente con módulos de plataforma de IA avanzada y retiros de próxima generación Construye experiencia en la implementación de empresas AI Fortune 500 compañías y múltiples industrias Establecerse como un líder reconocido entre los candidatos para dar forma a una excepción cómo las rentas de inteligencia artificial trabajan rápidamente a escala global Compensamiento salarial Competitividad Capacidad laboral + Comprehensiva (Cultura Financiera), Incapacitación e Inversión Los candidatos deben sentirse cómodos trabajando con colegas en diferentes zonas horarias (Reino Unido) y tener documentos de viaje válidos sin restricciones de autorización de trabajo en los Estados Unidos. Diversidad e Inclusión Nos dedicamos a crear un entorno diverso e inclusivo donde todos se sientan valorados y apoyados. Alentamos las solicitudes de candidatos de todo tipo y ofrecemos alojamiento bajo petición durante el proceso de contratación. Si tiene alguna pregunta, póngase en contacto con Allison Langille, Jefe de Personas, en jobs@valence.co.