Vice President, AI / Machine Learning Engineering
Harnham
Palo Alto, CA · Posted October 13, 2026
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Where Palo Alto, CA ranks
Where Palo Alto, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #3Best cities for entry-level jobs that want AI skills28% · of 100
- #3Best cities for entry-level jobs that want AI skills in the West Coast28% · of 54
- #3Best cities for AI-skill jobs37% · of 100
- #3Best cities for AI-skill jobs in the West Coast37% · of 71
- #4Best cities for data and analytics pay after cost of living$207k · of 28
- #4Best all-round cities for mid-career professionals83 / 100 · of 100
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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How AI is used in this kind of work
Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
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Vice President, AI / Machine Learning Engineering
We’re partnering with a highly regarded AI team building products used by hundreds of thousands of users every day.
This is not a research role. They’re looking for engineers who can take an idea on Thursday and have a production-ready solution in users’ hands by Monday.
The team is building AI-powered products across:
Enterprise chatbots and conversational AI
Agent frameworks and workflow automation
Text-to-code applications
Natural language interfaces for databases
Internal AI productivity tools at massive scale
They’re looking for engineers with:
Strong AI/ML engineering experience
Deep understanding of LLMs and foundation models
Experience building applications with LLM APIs
AWS, Kubernetes and distributed systems experience
Strong software engineering and system design fundamentals
The ability to operate autonomously and deliver end-to-end solutions
Ideal candidates are full-stack ML engineers who can prototype, build, deploy and scale products independently. A background in NLP, Computer Vision or advanced AI research is highly valued, but the ability to ship production systems is what matters most.
Why Join?
Build AI products used by hundreds of thousands of users globally
Work on some of the most visible AI initiatives within the organization
Operate with significant autonomy and ownership
Partner directly with senior leadership on high-priority initiatives
See your work deployed at scale and delivering measurable impact from day one
Join a team of exceptional engineers focused on turning cutting-edge AI into production-ready products
To Apply for this Job Click Here