ZipRecruiter

Log In

1

Vice President Machine Learning Jobs (NOW HIRING)

StockX

Vice President, Product

Detroit, MI

The VP will set long-term product strategy, align multi-product roadmaps to business goals, and ... Bring demonstrated experience building or evolving products that leverage AI, machine learning, or ...

Mutual of America

Vice President, AI Strategy

Boca Raton, FL · On-site

$176.70 - $265.10/hr

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

StockX

Vice President, Product

Detroit, MI · On-site

The VP will set long-term product strategy, align multi-product roadmaps to business goals, and ... Bring demonstrated experience building or evolving products that leverage AI, machine learning, or ...

Mutual of America

Vice President, AI Strategy

Manhattan, NY · On-site

$176.70 - $265.10/hr

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

Ledgebrook

AVP/VP, Specialty Pricing

Help design and build predictive pricing models using a combination of machine learning and ... As an AVP/VP, Specialty Pricing, you will: * Develop Analytical Solutions: Help design and build ...

Trella Health

$173K - $223K/yr

Position Overview: We are seeking a visionary Vice President of Data Strategy to lead our ... AI & Machine Learning * Build and scale the organization's AI/ML capabilities, including ...

Utilidata

VP, AI & Applications

Ann Arbor, MI · Remote

$230K - $290K/yr

The VP, AI & Applications leads the intelligence layer of Karman -- the algorithms, control methods ... optimization, applied machine learning, or signal processing * Demonstrated experience in ...

Utilidata

VP, AI & Applications

Ann Arbor, MI · On-site +1

$230K - $290K/yr

The VP, AI & Applications leads the intelligence layer of Karman - the algorithms, control methods ... optimization, applied machine learning, or signal processing * Demonstrated experience in ...

Barclays

VP - AI Engineering Lead

Whippany, NJ · On-site

$181K - $233K/yr

Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. * Development and implementation of predictive models to forecast future ...

Barclays

VP - AI Engineering Lead

Circle, MT · On-site

$175K - $225K/yr

Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. * Development and implementation of predictive models to forecast future ...

previous page

Showing results 41-60

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 Jul 24, 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, and why are they important?

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.

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 July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $114,728 per year, or $55.2 per hour.
Vice President, Quantitative Engineering

Vice President, Quantitative Engineering

Goldman Sachs & Co. LLC

Manhattan, NY

$54.33 - $132.69/hr

Full-time

Posted 27 days ago

Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

41st of 150 rated banks

Job description

Vice President, Quantitative Engineering with Goldman Sachs & Co. LLC in New York, New York. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Design and implement high-quality, scalable and thoughtful technology solutions leveraging both internal and open-source services. Requires: Master’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, Applied Mathematics or a related quantitative field and three (3) years of experience in job offered or a related quantitative or software engineering role OR Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Computer Engineering, Financial Engineering, Applied Mathematics or a related quantitative field and five (5) years of experience in job offered or a related quantitative or software engineering role. Prior experience must include three (3) years of experience (with a Master’s degree) OR five (5) years of experience (with a Bachelor’s degree) with 5 of the 7 following skills: C++, Java, or Python; quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; full software development lifecycle, including requirements gathering, design, coding, testing, documentation, deployment, and production support; building multi-threaded and multi-process service-oriented enterprise applications within Unix environment; micro-services architecture design and development including REST, Spring, or other back-end technologies; and database query languages, including SQL or NoSQL technologies such as MongoDB. Job Code: 9134899

Salary Range: Annual base salary for this New York, New York-based position is $113,000 - $276,000.

QUALIFIED APPLICANTS: Apply at gs.com and click on "Careers." NO PHONE CALLS PLEASE. ©The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

JobiqoTJN. Keywords: VP Engineering, Location: New York, NY - 10060

What Goldman Sachs employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Goldman Sachs logo

About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869

View All Goldman Sachs Jobs

Apply