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Machine Learning Intern Jobs in Pennsylvania (NOW HIRING)

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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Showing results 21-40

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Pennsylvania

Machine Learning Intern information

See Pennsylvania salary details

$25.6K

$42.7K

$88.2K

How much do machine learning intern jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning intern in Pennsylvania is $42,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,600.00 and $46,100.00 per year, depending on experience, location, and employer.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

More about Machine Learning Intern jobs

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

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

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

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

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

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

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

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

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,686 per year, or $20.5 per hour.

Commercial Learning Portfolio Partner, Immunology

Johnson & Johnson

Horsham, PA • On-site

Full-time

Posted 7 days ago

Johnson & Johnson rating

8.3

Company rating: 8.3 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

25th of 86 rated pharmaceutical

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Sales Enablement

Job Sub Function:

Sales Training

Job Category:

Professional

All Job Posting Locations:

Horsham, Pennsylvania, United States of America

Job Description:

Johnson & Johnson Innovative Medicine is recruiting for a Commercial Learning Portfolio Partner, Immunology located in Horsham, PA.

About Immunology

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Our Immunology team leads in the development of transformational medicines for immunological disorders and illnesses. You can influence where medicine is going by restoring health to millions of people living with immune diseases.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Purpose: The Commercial Learning Portfolio Partner, Immunology is responsible for shaping and managing a portfolio of learning experiences that build the capabilities of field medical teams across Immunology (GI, Dermatology, Rheumatology, and Autoantibody) and support content creation to meet commercial learning needs. Working closely with business leaders, subject matter experts, and Learning Excellence Organization (LEO) partners, this role translates evolving business needs into learning strategies, curricula, and capability-building solutions that support individual performance and organizational goals. This role has a major focus on executing training deliverables for Immunology field teams.

Key Responsibilities:
  • Partner with Immunology subject matter experts to identify capability gaps, emerging learning needs, and performance improvement opportunities
  • Serve as a trusted learning consultant for the Immunology therapeutic area by translating scientific, clinical, and business developments into clear, practical learning experiences
  • Lead the development and continuous evolution of disease-state, product, competitive readiness, and scientific engagement curricula that support field commercial learning priorities
  • Implement and continuously improve onboarding programs that accelerate field readiness and speed-to-impact for field commercial initiatives
  • Deliver engaging learning solutions utilizing a blend of instructor-led, virtual, experiential, social, and self-directed learning approaches.
  • Support time-sensitive business and leadership requests, including urgent updates and launch support across all JJIM commercial initiatives
  • Support team effectiveness through knowledge sharing, onboarding, and peer collaboration, helping promote consistency and operational continuity across all JJIM commercial initiatives
  • Manages multiple priorities, stakeholders, and deliverables in a matrixed environment while exhibiting strong written, verbal, facilitation, and stakeholder communication skills
Core Competencies & Skills
  • Learning Strategy & Capability Development: Translates business priorities, learner needs, and field feedback into practical learning strategies that build field commercial expertise.
  • Learning Consulting & Stakeholder Partnership: Serves as a trusted learning partner to subject matter experts, and cross-functional partners by diagnosing needs, shaping recommendations, and aligning stakeholders around learning priorities.
  • Clinical Content Development: Applies strong scientific and therapeutic area knowledge to support the creation, review, and continuous improvement of disease-state, product, competitive readiness, and field-facing learning content.
  • Curriculum & Learner Journey Management: Manages curricula, learning pathways, onboarding experiences, and field readiness milestones that support progression from foundational knowledge to applied performance.
  • Onboarding & Field Readiness: Supports structured onboarding and capability-building experiences that accelerate speed-to-impact, confidence, and effective field engagement for new and evolving commercial roles.
  • Learning Experience Delivery: Supports engaging learning solutions across formats, including instructor-led sessions, virtual learning, experiential activities, social learning, self-directed learning, workshops, and applied practice.
  • Portfolio Management & Execution: Manages the learning portfolio by identifying risks, dependencies, gaps, overlaps, lifecycle needs, and opportunities to enhance learner experience and business relevance.
  • Prioritization & Judgment: Evaluates learning demand, business value, compliance considerations, resource constraints, and learner impact to make informed recommendations on enhancements, sequencing, updates, and retirements.
  • Learning Measurement & Continuous Improvement: Uses learner feedback, business insights, readiness indicators, and portfolio performance data to evaluate effectiveness and recommend improvements to learning solutions.
  • Governance, Quality & Compliance Mindset: Maintains high standards for scientific accuracy, content quality, documentation, tagging, discoverability, and compliance in a highly regulated life sciences environment.
  • Collaboration, Communication & Influence: Builds strong relationships across business stakeholders, SMEs, LEO partners, and cross-functional teams; communicates clearly, influences without authority, and drives aligned action.
  • Growth Mindset & Innovation: Demonstrates curiosity, creativity, adaptability, critical thinking, and a continuous improvement mindset to improve learning experiences, solve problems, and respond to evolving business needs.
Qualifications / Requirements:

Education:

  • Bachelor's degree in Life Sciences, or a related field (BA/BS or equivalent)
Experience & Skills

Required:

  • Minimum of 5 years of relevant professional experience with a demonstrated track record in field medical or commercial field teams.

Preferred:

  • Experience within Immunology (GI, Dermatology, Rheumatology, and/or Autoantibody)
  • Demonstrated commitment to learning emerging technologies, such as AI, through exploration, iteration, and applying new tools over time
  • 3+ years of pharmaceutical sales experience

Other:

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.

#LI-Hybrid

Required Skills:

Preferred Skills:

Analytics Insights, Coaching, Consulting, Global Market, Learning & Development Trends, Learning Materials Development, Organizational Knowledge, Process Improvements, Sales Enablement, Sales Support, Sales Training, Strategic Sales Planning, Technical Credibility, Training Needs Analysis (TNA)

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