Machine Learning Engineer Job at ChatGPT Jobs in San Francisco
ChatGPT Jobs, San Francisco, CA, United States
Machine Learning Engineer
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.
San Francisco, CA
Remote
Full‑time
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 organisational 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.
What You’ll Do
You will develop scalable data pipelines, optimise 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 analyse user behaviour and prioritise evolving requirements.
Experiment at a high velocity, conducting statistical analyses, to optimise 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—including 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 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 recognised 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.
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.
We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds.
#J-18808-Ljbffr
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.
San Francisco, CA
Remote
Full‑time
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 organisational 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.
What You’ll Do
You will develop scalable data pipelines, optimise 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 analyse user behaviour and prioritise evolving requirements.
Experiment at a high velocity, conducting statistical analyses, to optimise 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—including 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 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 recognised 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.
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.
We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds.
#J-18808-Ljbffr