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Internship Machine Learning Engineer Jobs in Pennsylvania

LHi Group Ltd

Machine Learning Engineer

Calumet, PA · On-site

Machine Learning Engineer Remote (US, Canada & Europe) We're partnering with one of the world's fastest-growing gaming technology companies, building machine learning systems that power some of the ...

LHi Group Ltd

Staff Machine Learning Engineer

Calumet, PA · On-site

$280K/yr

* Staff Applied Machine Learning Engineer * Remote (must be based in USA) * Work Authorization: ship or required due to government contract requirements * $230-280,000 base + Equity + Benefits About ...

BE Group

Senior Machine Learning Engineer

Malvern, PA · On-site

$120K - $158K/yr

We are assisting our client in hiring for a Senior Machine Learning Engineer. Our client is an established SaaS company serving banks, credit unions, and fintechs. Their cloud-based platform helps ...

Vanguard Group

Senior Machine Learning Engineer

Malvern, PA · On-site

$102K - $140K/yr

Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.

TeleTracking

Machine Learning Engineer III

Pittsburgh, PA · On-site

$111K - $133K/yr

They are seeking a Senior Machine Learning Engineer to develop and optimize machine learning models aimed at enhancing patient care and operational efficiency in hospital settings. Responsibilities ...

Vangard, Inc.

Senior Machine Learning Engineer

Malvern, PA

$102K - $140K/yr

Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.

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All JobsMachine Learning Engineer JobsInternship Machine Learning Engineer JobsInternship Machine Learning Engineer Jobs in Pennsylvania

Internship Machine Learning Engineer information

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 Pennsylvania? The most popular types of Machine Learning Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Internship Machine Learning Engineer jobs? Cities in Pennsylvania with the most Internship Machine Learning Engineer job openings:
Internship Machine Learning Engineer jobs near you

Machine Learning Engineer

LHi Group Ltd

Calumet, PA • On-site

Other

Medical, Dental, Vision, Retirement

Posted 7 days ago

Job description

Machine Learning Engineer
Remote (US, Canada & Europe)
We're partnering with one of the world's fastest-growing gaming technology companies, building machine learning systems that power some of the largest live gaming experiences anywhere.
This is an opportunity to join a highly entrepreneurial engineering team where you'll become the Machine Learning expert, developing production ML systems that drive business decisions, optimize player experiences, and influence games enjoyed by millions of users every month.
Rather than working on isolated proof-of-concepts, you'll own models from concept through deployment, helping shape the future of Machine Learning within a rapidly scaling technology business.
The Opportunity
As the company's dedicated Machine Learning Engineer, you'll work closely with engineering leadership to build scalable predictive models and production ML infrastructure that supports analytics, forecasting, and business intelligence across the organization.
You'll have significant ownership from day one, with the opportunity to grow into a technical leadership position as the ML function expands.
What You'll Be Doing
  • Design, build and deploy production Machine Learning models
  • Develop predictive models around player behaviour, engagement and game performance
  • Own the full ML lifecycle, including feature engineering, training, tuning, deployment and retraining
  • Build scalable ML pipelines using Python and AWS
  • Work closely with engineers to improve existing ML infrastructure
  • Research and evaluate new modelling approaches to improve prediction accuracy
  • Help shape the long-term Machine Learning strategy for the business

We're Looking For
  • 3+ years building and deploying production Machine Learning models
  • Strong Python experience
  • Experience with supervised learning models
  • Hands-on experience with XGBoost and/or LightGBM
  • Strong SQL and statistical analysis skills
  • Experience deploying ML workloads in AWS
  • Docker and containerized development experience
  • Ability to operate independently in a fast-moving engineering environment

Nice to Have
  • Gaming or consumer analytics experience
  • ClickHouse or other OLAP databases
  • TypeScript
  • Optuna or other hyperparameter optimization frameworks
  • Experience working with large-scale behavioural or product datasets

Why Join?
  • Join one of the fastest-growing technology businesses in gaming
  • Become the company's Machine Learning subject matter expert
  • Work on products used by millions of players worldwide
  • High ownership and direct impact on business decisions
  • Fully remote working
  • Clear pathway into future technical leadership
  • Competitive compensation package

If you're passionate about applying Machine Learning at scale and want to build systems that influence products used by millions of users, I'd love to hear from you.
Featured Benefits
Medical Insurance
Vision Insurance
Dental Insurance
401(k)

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