1

Vp Machine Learning Software Engineer Jobs (NOW HIRING)

VP of Engineering

Irvine, CA · On-site

$180 - $280/hr

We do it by creating software that uses machine learning to watermark digital media. Our watermarks ... engineer* A minimum Ph.D. level skillset in computer vision and machine learning* A minimum ...

The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex.

$110K - $150K/yr

The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex.

next page

Showing results 1-20

Vp Machine Learning Software Engineer information

See salary details

$24K

$104.9K

$189K

How much do vp machine learning software engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for vp machine learning software engineer in the United States is $104,863.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $120,000.00 per year, depending on experience, location, and employer.

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

The most popular types of Machine Learning Software Engineer jobs are:

Senior Vice President, AI / Machine Learning Software Engineer

BNY

Pittsburgh, PA

$118K - $156K/yr

Full-time

Posted 5 days ago


Job description

hackajob is collaborating with BNY to connect them with exceptional professionals for this role.

We are seeking a future team member for the role of  Senior Vice President AI/Machine Learning Software Engineer to join our client platforms, global payments and trade team. This role is located in Pittsburgh.

In this role, you’ll make an impact in the following ways:

  • Provide comprehensive senior-level technical consulting to senior machine learning staff and serve as the technical expert in the design, development, implementation and maintenance of model deployments and machine learning pipeline technologies and tools.
  • Lead end-to-end strategic planning and oversight of large-scale machine learning systems and complex machine learning initiatives with direct strategic impact.
  • Consult with businesses to resolve highly complex machine learning and pipeline issues, evaluate compliance with data and model governance standards, and maintain pipeline functionality and currency.
  • Develop flowcharts, layouts and documentation to satisfy requirements and solutions, integrate automated lifecycle components into fully functional pipelines, and define implementation plans for model integration and performance optimization.

To be successful in this role, we’re seeking the following:

  • Advanced degree in STEM engineering, or equivalent work experience, with experience preferred in related fields.
  • 7-9 years of related experience in leading and supporting the development and deployment of machine learning solutions, model integrations, and scalable machine learning technologies.
  • Experience in the securities or financial services industry.
  • Experience leading and supporting the development and deployment of machine learning solutions, model integrations, and scalable machine learning technologies.

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.