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Vice President Machine Learning Jobs in New York

Mslgroup

Vice President, Analytics

Manhattan, NY · On-site

$168K - $269K/yr

Job Title Vice President, Analytics Company Description Publicis Media harnesses the power of ... machine learning, multi-touch attribution modeling, MMM, cross-device measurement Additional ...

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Vice President Machine Learning information

See New York salary details

$38.8K

$125.5K

$198.6K

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

As of Aug 15, 2026, the average yearly pay for vice president machine learning in New York is $125,516.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $156,400.00 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 are the most commonly searched types of Machine Learning jobs in New York?

The most popular types of Machine Learning jobs in New York are:

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

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

What cities in New York are hiring for Vice President Machine Learning jobs?

Cities in New York with the most Vice President Machine Learning job openings:

Vice President Machine Learning jobs near you

Machine Learning Engineer - Document Digitization (LLMs)-Vice President

JP Morgan Chase

Jersey City, NJ • On-site

Full-time

Medical, Retirement

Re-posted 16 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

Are you passionate about leveraging advanced technology to solve complex business challenges? As an applied AI/ML, you will have the opportunity to shape the future of document management through cutting-edge AI and machine learning. Join a collaborative team where your expertise will drive impactful solutions and strategic outcomes. This role offers a platform to innovate, lead, and make a difference across the organization.

As a Machine Learning Engineer - Document Digitization (LLMs)-Vice President in our organization, you will design, develop, and deploy secure, scalable, and innovative technology products that transform how documents are processed and managed. You will use advanced AI and machine learning to extract, analyze, and manage information, driving strategic business outcomes. You will collaborate with cross-functional teams, mentor others, and continuously seek opportunities for improvement and innovation.

Job responsibilities

  • Lead the design, development, and integration of AI-powered document digitization solutions, focusing on extracting information and insights from diverse document types.
  • Manage the end-to-end AI/ML lifecycle: model training, validation, deployment, monitoring, and continuous improvement in production environments.
  • Employ generative AI, and large language models (LLMs) to automate and optimize document workflows.
  • Build and maintain scalable document digitization pipelines using Python, AI frameworks, and cloud technologies.
  • Provision and manage cloud resources using infrastructure as code tools (Terraform) and AWS services (SageMaker, Bedrock).
  • Ensure scalability, reliability, security, and compliance of AI/ML solutions, adhering to best practices and governance standards.
  • Collaborate with cross-functional teams to reimagine legacy document processing systems using generative AI and LLMs.
  • Develop and maintain dashboards and reporting tools to monitor digitization accuracy, workflow efficiency, and business impact.
  • Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing.
  • Conduct model validation, human-in-the-loop review, and implement continuous improvement strategies for digitization accuracy.
  • Contribute to communities of practice and explore new and emerging technologies.

Required qualifications, capabilities, and skills

  • Bachelor's or Master's in Computer Science, Data Science, Machine Learning, or related field, with relevant industry experience.
  • Strong proficiency in Python programming; familiarity with Java and front-end technologies (React.JS, AngularJS).
  • Hands-on experience with AI/ML model development, deployment, and MLOps practices in production environments.
  • Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, PyTorch Lightning).
  • Knowledge of generative AI models (GANs, VAEs, transformers, diffusion models) and LLMs.
  • Experience with AWS cloud platforms (SageMaker, Bedrock), containerization (Docker, Kubernetes, Amazon EKS), and infrastructure as code (Terraform).
  • Familiarity with NoSQL databases (Mongo Atlas, ElasticSearch, OpenSearch, Neo4J).
  • Experience with agentic coding approaches, autonomous code agents, and last sprinting code generation.
  • Strong understanding of SDLC, CI/CD, resiliency, and security practices.
  • Demonstrated ability to accelerate development using AI technologies.
  • Experience deploying and maintaining AI/ML solutions in large-scale, production environments. and strong problem-solving, communication, and collaboration skills.

Preferred qualifications, capabilities, and skills

  • Experience in financial services, especially investment banking or credit risk operations
  • Expertise in agentic AI frameworks, prompt optimization, and fine-tuning SLMs
  • Familiarity with distributed computing, data sharing, and DDP training
  • Experience in design/code reviews and mentoring teams
  • AWS Generative AI Developer Professional certification or equivalent
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.

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