Machine Learning Engineer
ChatGPT Jobs
•
San Francisco, CA
0
0
0
0
Not Applicable
Posted April 5, 2026
Job link
Thinking about this job
Responsibilities
Commitments
Responsibilities
- 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
Commitments
Full-time
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 encourage applications from candidates of all backgrounds
Not Met Priorities
What still needs stronger evidence
Requirements
- 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
Preferred Skills
- 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.
- Exposure to early-stage startups, preferably B2B SaaS
Education
- (Not required) – Bachelor's degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
- (Not required) – 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)
Job Description
Machine Learning Engineer
Valence
San Francisco, CA
Remote
Full-time
Job Description
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.
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.
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 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
Machine Learning Engineer
Valence
San Francisco, CA
Remote
Full-time
Job Description
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.
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.
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 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