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Startup Machine Learning Intern Jobs in Pennsylvania

LHi Group Ltd

Staff Machine Learning Engineer

Calumet, PA · On-site

$280K/yr

Experience working in startup or high-growth environments, particularly building 0?1 products. * Familiarity with Kubernetes and cloud-native infrastructure. * Experience integrating machine learning ...

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

Keep up to date with Machine Learning best practices and evolving open-source frameworks ... Experience in or exposure to the nuances of a startup or other entrepreneurial environment

Air

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

Keep up to date with Machine Learning best practices and evolving open-source frameworks ... Experience in or exposure to the nuances of a startup or other entrepreneurial environment

Air

Senior Machine Learning Engineer

Pittsburgh, PA

$118K - $156K/yr

Keep up to date with Machine Learning best practices and evolving open-source frameworks ... Experience in or exposure to the nuances of a startup or other entrepreneurial environment

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

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All JobsStartup Machine Learning Intern JobsStartup Machine Learning Intern Jobs in Pennsylvania

Startup Machine Learning Intern information

What does a startup machine learning intern do?

A Startup Machine Learning Intern typically assists in developing, testing, and deploying machine learning models to solve real-world business problems in a fast-paced startup environment. Their responsibilities may include data preprocessing, feature engineering, model selection, and performance evaluation. Interns often collaborate closely with data scientists and software engineers, gaining hands-on experience with tools like Python, TensorFlow, or PyTorch. The role provides an opportunity to contribute directly to innovative projects and learn about the startup culture.

What are the typical responsibilities of a startup machine learning intern, and how do they contribute to the team's goals?

As a Startup Machine Learning Intern, you can expect to work on a mix of data preparation, model development, and experimental analysis. Interns often collaborate closely with data scientists, engineers, and product managers to prototype and test machine learning solutions that address real business problems. You'll likely take ownership of individual tasks, such as cleaning datasets, building and validating models, and reporting results to the team. This hands-on environment offers exposure to the full machine learning pipeline and provides opportunities to make meaningful contributions to the company's progress.

What are the key skills and qualifications needed to thrive as a startup machine learning intern, and why are they important?

To thrive as a Startup Machine Learning Intern, you typically need a solid understanding of machine learning concepts, programming proficiency in Python, and coursework or experience in data science or statistics. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving skills, initiative, and the ability to communicate complex ideas clearly are essential soft skills in a dynamic startup environment. These competencies enable interns to quickly contribute to projects, adapt to evolving tasks, and support innovation within fast-paced teams.

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

AspectStartup Machine Learning InternStartup Data Scientist
Required CredentialsTypically pursuing or recent graduate in CS, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields; often with experience
Work EnvironmentEntry-level, learning-focused, collaborative team settingAdvanced projects, strategic decision-making, leadership roles
Employer & Industry UsageStartups, tech companies, research labsStartups, tech firms, larger organizations with data teams

The Startup Machine Learning Intern role is an entry-level position aimed at gaining practical experience in machine learning within startup environments. In contrast, a Startup Data Scientist typically has more experience and handles complex data analysis, model development, and strategic insights. The internship is ideal for students or recent grads, while data scientists are more senior roles focused on driving data-driven decisions.

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

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

What are popular job titles related to Startup Machine Learning Intern jobs in Pennsylvania?

For Startup Machine Learning Intern jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Startup Machine Learning Intern jobs in Pennsylvania look for?

The top searched job categories for Startup Machine Learning Intern jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Startup Machine Learning Intern jobs?

Cities in Pennsylvania with the most Startup Machine Learning Intern job openings:

Startup Machine Learning Intern jobs near you
Infographic showing various Startup Machine Learning Intern job openings in Pennsylvania as of June 2026, with employment types broken down into 76% Full Time, and 24% Part Time. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

Staff Machine Learning Engineer

LHi Group Ltd

Calumet, PA • On-site

$280K/yr

Other

Posted 15 days ago

Job description

  • 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 the Opportunity
Our client is a rapidly growing, venture-backed AI company building secure, enterprise-grade AI solutions for highly regulated industries. Their platform helps organizations unlock the value of complex data by embedding AI into mission-critical workflows, improving decision-making, operational efficiency, and knowledge discovery.
As the company continues to scale, they are investing heavily in next-generation AI capabilities, including search, knowledge exploration, semantic reasoning, and agentic AI. This is an opportunity to join a high-caliber engineering team tackling technically challenging problems at production scale while helping shape the future direction of the platform.
The Role
As a Staff Applied Machine Learning Engineer, you will design, build, and deploy advanced machine learning solutions that power intelligent search, knowledge exploration, and AI-driven workflows.
You'll work closely with product, platform, and engineering teams to develop production-grade ML systems, combining strong software engineering fundamentals with expertise in modern AI techniques. This is a highly technical individual contributor role with significant ownership and influence over architectural decisions.
Responsibilities
  • Lead the design, development, and deployment of machine learning models for large-scale production systems.
  • Design and build intelligent search and knowledge exploration capabilities using modern ML techniques.
  • Develop systems involving knowledge graphs, semantic representations, and advanced entity understanding.
  • Collaborate with engineering and product teams to deliver end-to-end machine learning solutions.
  • Evaluate model performance, runtime efficiency, and scalability in production environments.
  • Communicate technical decisions, trade-offs, and recommendations to both technical and non-technical stakeholders.
  • Build high-quality enterprise software while maintaining a fast pace of delivery.
  • Take ownership of projects from design through implementation, deployment, and ongoing support.
  • Troubleshoot and support distributed production systems.
  • Stay current with advances in AI and machine learning and apply emerging techniques where appropriate.

Required Qualifications
  • ship or required.
  • Bachelor's or Master's degree in Computer Science, Machine Learning, NLP, or a related field. A PhD is strongly preferred.
  • 10+ years of experience building and deploying production machine learning systems.
  • Strong background in Natural Language Processing (NLP), information retrieval, or semantic search.
  • Experience designing and supporting knowledge graph or semantic representation systems.
  • Proven experience building and deploying Agentic AI systems, including orchestration, tool use, reasoning workflows, and context management.
  • Strong software engineering skills with experience building scalable distributed systems.
  • Experience working with production ML systems throughout their lifecycle.
  • Excellent communication and cross-functional collaboration skills.
  • Experience leveraging modern AI tools to improve engineering productivity.
  • Demonstrated curiosity, adaptability, and a continuous learning mindset.

Preferred Qualifications
  • PhD in Computer Science, Machine Learning, Artificial Intelligence, NLP, or a related discipline.
  • Experience working in startup or high-growth environments, particularly building 0?1 products.
  • Familiarity with Kubernetes and cloud-native infrastructure.
  • Experience integrating machine learning models into large-scale enterprise platforms.

Why Join?
  • Join a fast-growing, well-funded AI company solving complex real-world problems.
  • Work on cutting-edge technologies including Agentic AI, NLP, search, knowledge graphs, and semantic reasoning.
  • Collaborate with an experienced engineering team that values technical excellence, ownership, and innovation.
  • Competitive compensation and meaningful pre-IPO equity.
  • Fully remote position within the United States.

Apply