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Internship Machine Learning Engineer Jobs in Pittsburgh, PA

Apple

ML Software Research Engineer

Pittsburgh, PA · On-site

$199K/yr

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have the chance to be part of an ML innovation organization that creates a wide range of impactful Apple ...

Varsity Tutors

Machine Learning Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Apple

ML Software Research Engineer

Pittsburgh, PA

$199K/yr

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have the chance to be part of an ML innovation organization that creates a wide range of impactful Apple ...

Skild AI

Robotics Software Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

We believe massive scale through data-driven machine learning is the key to unlocking these ... Position Overview We are seeking a versatile Robotics Software Engineer to develop and implement ...

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All JobsMachine Learning Engineer JobsInternship Machine Learning Engineer JobsInternship Machine Learning Engineer Jobs in Pittsburgh, PA

Internship Machine Learning Engineer information

See Pittsburgh, PA salary details

$24.8K

$41.3K

$85.4K

How much do internship machine learning engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for internship machine learning engineer in Pittsburgh, PA is $41,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What does an internship machine learning engineer do?

An Internship Machine Learning Engineer works alongside experienced engineers to help develop, test, and deploy machine learning models. Their responsibilities may include cleaning and preparing data, writing code for model training, evaluating model performance, and contributing to research tasks. Interns often learn to use popular frameworks such as TensorFlow or PyTorch and gain hands-on experience with real-world datasets. This role is designed to help students or recent graduates apply their academic knowledge to practical problems while developing industry-relevant skills.

What is the difference between Internship Machine Learning Engineer vs Data Scientist Intern?

AspectInternship Machine Learning EngineerData Scientist Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, data analysis, programming
Work EnvironmentDeveloping ML models, coding, testingData analysis, visualization, reporting
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, consulting

Internship Machine Learning Engineers focus on developing and testing machine learning models, often requiring programming and basic ML knowledge. Data Scientist Interns analyze data, create visualizations, and generate insights. Both roles are common in tech and data-driven industries, but ML Engineer internships emphasize model deployment, while Data Science internships focus on data analysis and reporting.

What types of projects and responsibilities can I expect as an internship machine learning engineer?

As an Internship Machine Learning Engineer, you will typically support the development, testing, and deployment of machine learning models under the guidance of senior engineers. Your responsibilities may include data preprocessing, exploratory data analysis, implementing algorithms, and evaluating model performance. You'll often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world workflows and tools. This hands-on experience is invaluable for building technical skills and understanding how machine learning solutions are integrated into larger products.

What are the key skills and qualifications needed to thrive as an internship machine learning engineer, and why are they important?

To excel as an Internship Machine Learning Engineer, you typically need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, often supported by coursework or relevant project experience. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is common, along with proficiency in data processing libraries. Curiosity, strong problem-solving abilities, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can contribute meaningfully to projects, adapt to new challenges, and collaborate productively in a rapidly evolving technical environment.
What are the most commonly searched types of Machine Learning Engineer jobs in Pittsburgh, PA? The most popular types of Machine Learning Engineer jobs in Pittsburgh, PA are:
Internship Machine Learning Engineer jobs near you

Senior Software Engineer - Scalable Machine Learning

Latitude AI

Pittsburgh, PA • On-site

$118K - $156K/yr

Full-time

Re-posted 15 days ago

Job description

Job Summary:
Latitude AI develops automated driving technologies, including L3, for Ford vehicles at scale. The Senior Software Engineer for the Scalable ML team will design and implement cloud services for data management and workflow orchestration, while also mentoring junior engineers and collaborating with cross-functional teams.
Responsibilities:
• Design, and implement state-of-the-art cloud services for data ingest, workflow orchestration, and distributed training at scale
• Develop solutions to generate, manage, and process large amounts of multi-sensor training data for machine learning
• Drive advanced MLOps practices, including model artifact management, experiment tracking, and automated model deployment and testing strategies
• Collaborate closely with cross-functional teams, perception experts, and roboticists to integrate ML pipelines and ensure the delivery of high-quality, production-ready software
• Mentor junior engineers and provide technical guidance to elevate the team's software development standards
Qualifications:
Required:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
• Strong track record of successfully delivering complex software projects from conception to production
• Proven expertise in developing and optimizing machine learning data pipelines, data generation, and distributed model training
• Experience designing, building, and operating large-scale distributed systems and cloud infrastructure
• Strong proficiency in Python and/or C++ for developing high-performance, production-quality software
Preferred:
• Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field
• Hands-on experience with distributed machine learning frameworks and tools such as Ray, PyTorch, Dagster, LakeFS, or PyArrow
• Experience with multi-sensor data fusion and processing techniques relevant to autonomous driving applications
• Familiarity with safety-critical software development principles in automotive or robotics domains
• Deep understanding of machine learning concepts, computer vision use cases, and the challenges of L2/L3 autonomy
Company:
Latitude AI is a wholly owned subsidiary of Ford Motor Company developing automated driving technologies. Founded in 2022, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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