- Machine Learning Recruiters and Staffing SpecialistsVP of Machine Learning
Machine Learning Jobs
- AI/ML Engineer
- Applied Scientist
- Computer Vision Engineer
- Computer Vision Research Scientist
- Generative AI Engineer
- Large Language Model (LLM) Engineer
- Lead Machine Learning Engineer
- Machine Learning Architect
- Machine Learning Infrastructure Engineer
- Machine Learning Platform Engineer
- Machine Learning Research Scientist
- ML Product Manager
- MLOps Engineer
- Natural Language Processing (NLP) Engineer
- Principal Machine Learning Engineer
- Recommendation Systems Engineer
- Research Engineer
- Senior Machine Learning Engineer
- VP of Machine Learning
The vice president of machine learning leads the organization’s machine learning function, covering strategy, teams, platform and the commercial case for the investment. The role has to hold a realistic line about what machine learning will deliver, since expectations in this area are frequently set by people who have never shipped a model and maintained it.
Typical Duties and Responsibilities
- Set machine learning strategy aligned to business priorities
- Lead machine learning teams and their leaders
- Own the platform and infrastructure investment case
- Decide which problems justify machine learning investment
- Build hiring strategy for a competitive talent market
- Establish standards for evaluation, governance and responsible use
- Report on outcomes rather than on models delivered
- Partner with product and engineering leadership
- Manage the budget including significant compute spend
- Advise the executive team realistically on capability
Education
- Advanced degree in a quantitative field, or equivalent experience
Required Skills and Experience
- 12+ years including senior leadership of machine learning teams
- Track record of machine learning delivering measurable business value
- Ability to set realistic expectations with executives
- Experience building and retaining machine learning teams
- Understanding of platform and infrastructure economics
- Governance and responsible use experience
- Strong commercial judgment about where to invest
- Board level communication
Preferred Qualifications
- Experience across both research and applied settings
- Background scaling a machine learning organization