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Machine Learning Software Engineer Intern Jobs in Pittsburgh, PA

Apple

Machine Learning Engineer

Pittsburgh, PA · On-site

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 ...

Apple, Inc.

Machine Learning Engineer

Pittsburgh, PA · On-site

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 ...

New

TeleTracking

Machine Learning Engineer III

Pittsburgh, PA · On-site

$111K - $133K/yr

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

Apple

Machine Learning Engineer

Pittsburgh, PA

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 ...

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All JobsMachine Learning Software Engineer Intern JobsMachine Learning Software Engineer Intern Jobs in Pittsburgh, PA

Machine Learning Software Engineer Intern information

See Pittsburgh, PA salary details

$13

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How much do machine learning software engineer intern jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for machine learning software engineer intern in Pittsburgh, PA is $24.68, according to ZipRecruiter salary data. Most workers in this role earn between $20.05 and $27.98 per hour, depending on experience, location, and employer.

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a machine learning software engineer intern?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Pittsburgh, PA?

The most popular types of Machine Learning Software Engineer jobs in Pittsburgh, PA are:

Machine Learning Software Engineer Intern jobs near you

Senior Vice President, AI / Machine Learning Software Engineer

BNY

Pittsburgh, PA • On-site

$118K - $156K/yr

Full-time

Posted 2 days ago

New

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.

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