ZipRecruiter

Log In

1

Vice President Machine Learning Jobs (NOW HIRING)

Lyra Health

VP of Data and AI

$251K - $346K/yr

We are seeking a visionary and results-oriented VP of Data and AI to lead our AI and machine learning initiatives, data strategy and advanced analytics, driving significant business impact across the ...

Mutual of America

Vice President, AI Strategy

Manhattan, NY · On-site

$176K - $265K/yr

Collaborate with the VP of Data, ensuring the data platform efficiently supports AI, machine learning, and analytics capabilities across all departments. * Maintain authority and accountability for ...

Impact Advisors

Vice President, Data & AI

$215K - $330K/yr

The new VP must have a history of delivering high-quality work and building ongoing, trust-based ... Moreover, they should possess good knowledge of Data Science, Machine Learning, and Advanced ...

Rogers Memorial Hospital, Inc.

WI · On-site

$180 - $260/hr

The Vice President, Research serves as the senior leader responsible for advancing Rogers ... Advance the use of predictive analytics, machine learning, and outcomes measurement to improve ...

Hikinex

Vice President, Robot Learning

Palo Alto, CA · On-site

This is an opportunity to define the robot learning strategy at a company where machine learning is central to the product roadmap. The Role We're seeking a Vice President of Robot Learning to lead ...

previous pagenext page

Showing results 21-40

All JobsVice President Machine Learning Jobs

Vice President Machine Learning information

See salary details

$35.5K

$114.7K

$181.5K

How much do vice president machine learning jobs pay per year?

As of Aug 14, 2026, the average yearly pay for vice president machine learning in the United States is $114,728.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $143,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a vice president of machine learning?

To thrive as a Vice President of Machine Learning, you need advanced expertise in machine learning, data science, and computer science, typically backed by a master's or PhD and extensive industry experience. Proficiency with platforms like TensorFlow, PyTorch, cloud computing services, and experience managing large-scale AI projects are crucial, along with a track record in leading technical teams. Exceptional leadership, strategic vision, and strong communication skills set outstanding candidates apart by enabling effective cross-functional collaboration and innovation. These skills are vital for driving organizational AI strategy, ensuring technical excellence, and delivering scalable business impact.

What does a vice president of machine learning do?

A Vice President of Machine Learning leads and oversees the strategic direction of machine learning initiatives within an organization. They manage teams of data scientists, engineers, and researchers to develop and deploy AI-driven solutions that support business goals. This role involves collaborating with other executives, setting research agendas, ensuring best practices, and staying updated with the latest advancements in the field. The VP also plays a key role in resource allocation, talent acquisition, and scaling machine learning systems across the company.

What are some common challenges faced by a vice president of machine learning when leading cross-functional teams?

A Vice President of Machine Learning often encounters challenges such as aligning diverse teams on technical priorities, managing expectations across product, engineering, and business units, and ensuring effective communication between stakeholders with varying levels of technical expertise. Balancing the need for innovation with practical business objectives and resource constraints is also a frequent challenge. Cultivating a collaborative culture and fostering ongoing professional development are key to overcoming these hurdles and driving successful outcomes.

What is the difference between Vice President Machine Learning vs Director of Machine Learning?

AspectVice President Machine LearningDirector of Machine Learning
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in MLSimilar educational background, less senior experience needed
Work EnvironmentStrategic leadership, cross-departmental collaborationProject management, team oversight
Employer & Industry UsageLarge tech firms, enterprises with AI focusTech companies, startups, research labs
Search & Comparison IntentHigh overlap in responsibilities and qualificationsRelated but more operational role

The Vice President Machine Learning typically holds a senior leadership role focused on strategic planning and cross-functional collaboration, while the Director of Machine Learning manages day-to-day projects and teams. Both roles require advanced degrees and experience in machine learning, but the VP is more involved in high-level decision-making and industry strategy.

Is vice president machine learning a high paying job?

The Vice President of Machine Learning is typically a high-level executive role with a competitive salary that reflects expertise in AI, data science, and leadership. Salaries often range from six to seven figures depending on the industry, company size, and location.

What cities are hiring for Vice President Machine Learning jobs?

Cities with the most Vice President Machine Learning job openings:

What are the most commonly searched types of Machine Learning jobs?

The most popular types of Machine Learning jobs are:

What states have the most Vice President Machine Learning jobs?

States with the most job openings for Vice President Machine Learning jobs include:

What job categories do people searching Vice President Machine Learning jobs look for?

The top searched job categories for Vice President Machine Learning jobs are:

Vice President Machine Learning jobs near you
Infographic showing various Vice President Machine Learning job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,728 per year, or $55.2 per hour.

Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learnin...

JPMorgan Chase & Co

Seattle, WA • On-site

Full-time

Medical, Retirement

Re-posted 12 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 494 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

At JPMorgan Chase, AI and technology promote our global operations with unmatched scale and speed. We invest over $18 billion annually in innovation, data leverage, and security to shape the future for our clients, communities, and employees. The Chief Data & Analytics Office (CDAO) accelerates our data and analytics journey, with the Machine Learning Center of Excellence (MLCOE) creating and deploying solutions for complex business challenges. By ensuring data quality and leveraging insights, the CDAO supports our commercial goals, enhancing productivity and risk management through AI and machine learning. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President, you will own the full lifecycle of developing and deploying machine learning solutions, from ideation to production. Acting as a leading voice within JPMC on all things Generative AI (GenAI), you will partner closely with all lines of business to innovate new solutions that drive transformational change for the bank. You will actively participate in our knowledge sharing community, representing your work inside and outside of the firm at leading industry conferences amongst peers and leaders in the space. We seek someone who excels in a highly collaborative, fast-paced environment, and holds a strong passion for machine learning to make a significant impact at a leading global financial institution.

Job responsibilities 

  • Research and develop state-of-the-art machine learning models to solve real-world problems and apply them to tasks involving Generative AI (GenAI) 
  • Act as a thought partner for JPMC leaders and help the business identify and implement new machine learning methods that deliver impact  
  • Drive cross-functional collaboration with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production  
  • Lead firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business 

Required qualifications, capabilities, and skills

  • PhD in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science, OR an MS with at least 3 years of industry or research experience in the field 
  • Solid background in Generative AI (GenAI) and hands-on experience and solid understanding of machine learning and deep learning methods and toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)  
  • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals  
  • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments  
  • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences 

Preferred qualifications, capabilities, and skills 

  • Strong background in Mathematics and Statistics; Familiarity with the financial services industries and continuous integration models and unit test development  
  • Knowledge in search/ranking or Meta Learning  
  • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large-scale distributed environment, and ability to develop and debug production-quality code  
  • Published research in areas of Machine Learning or Deep Learning at a major conference or journal 

#MLCOE_jobs

#CDAO_CAO_jobs

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply