1

Summer Machine Learning Software Engineer Jobs in Pennsylvania

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have ... Experience in prototyping and developing software applications (preferably in Swift). Experience ...

Machine Learning Engineer III

Pittsburgh, PA ยท On-site

$111K - $133K/yr

... software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions. โ€ข Work with large-scale healthcare ...

... software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions. โ€ข Work with large-scale healthcare ...

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have ... Develop ML production software. The ability to build end-to-end demos for ML solutions. Represent ...

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max) How You'll Be Rewarded Salary ...

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max) How You'll Be Rewarded Salary ...

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max) How You'll Be Rewarded Salary ...

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max) How You'll Be Rewarded Salary ...

next page

Showing results 1-20

Summer Machine Learning Software Engineer information

What is the difference between Summer Machine Learning Software Engineer vs Summer Data Scientist?

AspectSummer Machine Learning Software EngineerSummer Data Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related fields; coding skills in Python, JavaBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentSoftware development teams, coding, model deploymentData analysis, statistical modeling, data visualization
Employer & Industry UsageTech companies, startups, research labsTech firms, finance, healthcare, consulting

While both roles involve working with data and algorithms, Summer Machine Learning Software Engineers focus on developing and deploying machine learning models through coding and software development. Summer Data Scientists primarily analyze data, build statistical models, and generate insights. The roles often overlap but differ in their core activities and skill emphasis.

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

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

What cities in Pennsylvania are hiring for Summer Machine Learning Software Engineer jobs?

Cities in Pennsylvania with the most Summer Machine Learning Software Engineer job openings:

Senior Vice President, AI / Machine Learning Software Engineer

BNY

Pittsburgh, PA โ€ข On-site

$118K - $156K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

We are seeking a future team member for the role of ย 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.

At BNY, our culture speaks for itself, check out the latest BNY news atย BNY Newsroomย &ย BNY LinkedIn

ย Here's a few of our recent awards:

  • America's Most Innovative Companies, Fortune, 2025
  • World's Most Admired Companies, Fortune 2025
  • "Most Just Companies", Just Capital and CNBC, 2025

    Our Benefits and Rewards:

    BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

    BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

    BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting.ย 

    Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee's eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

    If hired, the employee will be in an "at will" position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.