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Internship Machine Learning Engineer Jobs in Pittsburgh, PA

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

... engineers Qualifications * U.S. Citizenship is required * Advanced degree, or bachelor's with at least 3 years of experience, in Data Science, Machine Learning or a related field Required Skills:

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

... engineers Qualifications * U.S. Citizenship is required * Advanced degree, or bachelor's with at least 3 years of experience, in Data Science, Machine Learning or a related field Required Skills:

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of Cloud Engineering and Director of Autonomy. Cross-departmentally, you'll collaborate with Product ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of Cloud Engineering and Director of Autonomy. Cross-departmentally, you'll collaborate with Product ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of Cloud Engineering and Director of Autonomy. Cross-departmentally, you'll collaborate with Product ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

... Cloud Engineering and Director of Autonomy to ensure ML systems integrate seamlessly into the ... Machine Learning, or a related field (strong industry track record considered in lieu of advanced ...

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 ...

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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 Sep 4, 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 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 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 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 Machine Learning Engineer

Air

Pittsburgh, PA

$118K - $156K/yr

Full-time

Re-posted 14 days ago

Key responsibilities

  • Design and develop NLP applications to improve data analytics software.

  • Review, verify, and aggregate datasets for supervised learning and collaborate with taxonomy experts on dataset annotation.

  • Implement and integrate state-of-the-art NLP models and algorithms into the production system, and develop scalable, production-ready models.

Job description

Company Description
Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.
Job Description
We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with automation and intelligence that helps Air end-users make scientific and analytical decisions. We're looking for world-class talent to join our team where you will have the opportunity to help develop a wide range of solutions that transform natural language data into useful features for classification algorithms, as well as implement the latest technology to improve user search functionality. 
 
In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed models and solving problems in an ambiguous space. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy. 
 
This role is a full-time position located out of our office in Pittsburgh, PA. 
 
This role may require up to 10% travel
Scope of Responsibilities
  • Inform and implement the design and development of NLP applications to enhance the intelligence and efficiency of our data analytics software-as-a-service platform
  • Review, verify, and aggregate the most appropriate annotated datasets for the best-supervised learning methods
  • Ability to work with taxonomy experts to create and validate dataset annotation
  • Use well-formed and effective text representation to change and adapt natural language documents into user-friendly features
  • Implement the latest technology to improve user search functionality as well as integrate state of the art LLM models into our Air Enterprise Readiness platform to enhance user experience.
  • Develop new algorithms and modeling techniques and conduct sound experiments to verify model results and integrate models into the live production system
  • Establish meaningful criteria for evaluating algorithm performance and suitability
  • Implement working, scalable, production-ready models and code
  • Keep up to date with Machine Learning best practices and evolving open-source frameworks
  • Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks
  • Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers, and QA engineers
Qualifications
  • U.S. Citizenship is required
  • Advanced degree, or bachelor's with at least 3 years of experience, in Data Science, Machine Learning or a related field
Required Skills: 
  • Minimum 3 years experience with hands-on development of NLP models
  • In-depth understanding of NLP methods for text representation, semantic extraction techniques, data structures, and modeling
  • Practical experience in building, developing, and productionizing both supervised and unsupervised machine learning models
  • Advanced software skills in Python
  • Advanced ability in forming SQL queries
  • A strong desire to learn, investigate, and implement cutting-edge technologies
  • Ability to work collaboratively throughout the design process.

Desired Skills: 

  • Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
  • Experience in or exposure to the nuances of a startup or other entrepreneurial environment
  • Experience in deploying ML models in Kubernetes environments
  • Experience developing custom training sets for large language models
  • Experience productionizing transformer-based models
We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you.
 
Air is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.