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Machine Learning Intern Jobs in Exton, PA (NOW HIRING)

SAP

SAP iXp Intern - AI Solution Advisory

Newtown Square, PA · On-site

$14.25 - $19.25/hr

SAP iXp Intern - AI Solution Advisory Location: Hudson Yards, NY Duration: 6 Months (with potential ... Experience with artificial intelligence and machine learning * Strong communication and teamwork ...

New

United Sports USA

Youth Programs Intern

Downingtown, PA · On-site

$15.50 - $20.75/hr

Youth Programs Intern Are you passionate about working with children and interested in learning how youth programs operate behind the scenes? United Sports is looking for a Youth Programs Intern to ...

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Showing results 21-40

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Exton, PA

Machine Learning Intern information

See Exton, PA salary details

$24.6K

$41.1K

$84.9K

How much do machine learning intern jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning intern in Exton, PA is $41,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,400.00 and $44,400.00 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.

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Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Exton, PA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $41,099 per year, or $19.8 per hour.

Intern - Predictive Sales Prospecting

Agilent

Wilmington, DE

$30 - $32/hr

Full-time

Re-posted 22 days ago

Agilent Technologies rating

8.3

Company rating: 8.3 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

49th of 540 rated manufacturers

Job description

Job Description

This internship program is designed to provide data analytics support for various programs, projects, and initiatives across the Americas. It is intended to help identify and leverage leading analytics tools and technologies, including artificial intelligence (AI) and large language models (LLMs), to streamline sales enablement and channel strategies, improve sales productivity, and drive incremental revenue growth.

Key Responsibilities:

Predictive Sales Prospecting & Data Insights

  • Analyze customer and market data to identify highvalue prospects and uncover sales opportunities.

  • Leverage AI, machine learning, data analytics, and other automation tools to enhance prospecting strategies and improve targeting accuracy.

  • Develop data-driven insights to support decision-making across sales and marketing teams.

AI Tools & Technology Evaluation

  • Explore emerging AI and analytical tools and assess their potential applications within sales workflows.

  • Support implementation of AI-driven solutions to improve efficiency and effectiveness of prospecting efforts.

Data Management & Analysis

  • Identify and consolidate internal and external data sources to support prospecting and reporting initiatives.

  • Build and maintain dashboards, reports, and queries to monitor key performance metrics.

  • Apply statistical methods to analyze structured and unstructured datasets and identify patterns, trends, and anomalies.

Sales Enablement & Reporting

  • Create reports and visualizations that communicate insights clearly to stakeholders.

  • Partner with cross-functional teams to translate data findings into actionable sales strategies.

  • Support forecasting efforts and contribute to strategic and tactical planning.

Technical Tools & Collaboration

  • Utilize tools such as SQL, Python, R, and business intelligence platforms (e.g., Power BI, Power Apps, Power Automate, Tableau, Spotfire, QLIK, etc.) to develop analytics solutions.

  • Provide support and guidance on data tools and methodologies to team members.

  • Maintain data integrity and ensure compliance with relevant standards and best practices.

Qualifications

Who we're looking for

You are currently in your sophomore or junior year at an accredited university, pursuing a degree in Data Science, Data Analytics, Business Analytics, Computer Science, Artificial Intelligence, or a related field, and are excited to apply advanced analytics to real-world business challenges.

What you bring

  • Strong analytical and problem-solving skills with the ability to work with complex datasets.

  • Foundational knowledge of programming languages and data analysis tools.

  • Desire to learn business automation tools such as Power BI, Power Automate, Power Apps, etc.

  • Strong skills and/or interest in AI, machine learning, and data-driven decision-making in a business context.

  • Proficiency with Microsoft Office tools (Excel, PowerPoint, Word, Outlook).

  • Clear and confident communication skills, both written and verbal.

  • A collaborative mindset and ability to thrive in a fast-paced, team-oriented environment.

Work Conditions & Schedule

  • Duration: At least 12 months, with a preference for candidates entering their junior year who may be available for up to two years, with the potential to convert to a full-time hire.

  • Start Date: Targeted for June 2026.

  • Schedule: Full-time during summer (40 hours per week); part-time during the school year (10-20 hours per week).

  • Work Model: Onsite - Wilmington, DE

  • Agilent provides a laptop and necessary equipment for the internship term.

Compensation & Benefits

  • Hourly Pay: $30.00-$32.00 (Our pay ranges are determined by role, level, and location.)

  • Paid holidays and medical benefits eligibility.

  • Professional development sessions, workshops, and mentorship.

  • Exposure to sales, marketing, manufacturing, product development, and technical support functions.

  • Access to Agilent Employee Networks (Women@Agilent, Council of Black Employees, Rainbow Spark, La Chispa, Veterans, Asian Pacific Islanders, and more).

This position is part-time during the academic semester and full-time over the summer.

The intern pay rate for this position is $30.00-$32.00/hour plus eligibility for paid holidays and medicalbenefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay isdetermined by work location and additional factors, including job-related skills, experience, and relevanteducation or training. During the hiring process, a recruiter can share more about the specific pay rangefor a preferred location

Additional Details

This job has a full time weekly schedule. Applications for this job will be accepted until at least June 15, 2026 or until the job is no longer posted.Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: OccasionalShift: DayDuration: Over 12 MonthsJob Function: General

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