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Machine Learning Intern Jobs in Stockton, CA (NOW HIRING)

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Machine Learning Intern information

See Stockton, CA salary details

$26.9K

$44.9K

$92.7K

How much do machine learning intern jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning intern in Stockton, CA is $44,855.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,200.00 and $48,500.00 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 Stockton, CA?

The most popular types of Machine Learning jobs in Stockton, CA are:

What job categories do people searching Machine Learning Intern jobs in Stockton, CA look for?

The top searched job categories for Machine Learning Intern jobs in Stockton, CA are:

What cities near Stockton, CA are hiring for Machine Learning Intern jobs?

Cities near Stockton, CA with the most Machine Learning Intern job openings:

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Stockton, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,855 per year, or $21.6 per hour.

Extended Learning Time Coach & Consultant

FranklinCovey

Modesto, CA • On-site

$87K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Job description

We give strategy the human edge.
FranklinCovey (NYSE: FC) is the worlds most trusted leadership and organizational performance partner that gives strategy the human edge. We help organizations achieve the breakthrough results that matter most. Using proven, principle-centered frameworks and practices, we build high-trust leaders, teams and cultures and help clients translate strategy into consistent execution. For more than 40 years, we have tested this approach with thousands of clients from Fortune 100 companies to educational and government institutions, providing professional services across 160 countries.

To learn more, visit franklincovey.com.

Title: Extended Learning Time Coach & Consultant
Global Title: Extended Learning Coach
Division & Department: K12 Education Coaching & Consulting
Status: Full-Time Exempt
Reports To: Coaching Director
Location: Hybrid - Anywhere in Stanislaus County, CA or San Joaquin County, CA
Schedule: Non-Traditional Schedule including afternoons and Saturdays.*
Compensation: Anticipated compensation for this position is $87,500-139,400k**
Date Posted: July 15, 2026***

Job Summary
The Extended Learning Time Coach & Consultant (the ELT Coach & Consultant) will play a pivotal role in supporting and enhancing after-school and extended learning programs through the Leader in Me (LIM) framework. This role is designed to foster student growth, leadership, and engagement by supporting and mentoring non-certified staff, young adults and after-care providers. The ELT Consultant will work directly with educators and administrators to build sustainable, results-driven extended learning initiatives that align with district goals and expanded learning opportunity programs. Through training, coaching and support, the ELT Consultant will help schools create engaging, student-centered learning environments that develop leadership skills and improve outcomes for all students. Frequent virtual communication will include in between the seams touchpoints and providing additional resources and guidance on implementation.

Essential Job Functions

  • Professional Development & Training to include engaging workshops focused on student leadership, behavioral strategies, and instructional best practices.
    • Monday through Friday afternoon ELT workshops
    • Lead Saturday professional development sessions ensuring staff receive comprehensive training aligned with LIM content.
  • Program Implementation Coaching & Support
    • Partner with site coordinators and after-care providers to align extended learning activities with Leader in Me principles.
    • Coaching sessions to include the following: high-impact modeling and feedback sessions to improve instructional effectiveness and structured observations
    • Provide targeted support to ensure best practices in classroom management, engagement, and time management.
  • Stakeholder Collaboration & Communication
    • Conduct weekly strategy meetings with site coordinators to discuss program updates, challenges, and improvements.
    • Collaborate with FranklinCoveys Education Division to integrate LIM content effectively into extended learning programs.
    • Act as a liaison between schools, after-care providers, and district leaders to align LIM implementation goals.
  • Operational Excellence & Logistics
    • Manage scheduling, logistics, and resource coordination to ensure smooth program execution.
    • Utilize technology platforms (Outlook, Microsoft Office, Zoom, LIM Online) for communication, data tracking, and reporting.

Basic Qualifications

  • Bachelors degree
  • 4+ years experience in K-12 Education
  • 1+ years instructional training, group facilitation or similar capacity working directly with students and/or other educators.

Preferred Skills & Experience

  • K-12 Education Credential
  • Experience implementing Leader in Me (LIM).
  • Background in extended learning, OST (Out-of-School Time) programs, or after-school education.
  • Expertise in classroom management, instructional coaching, and engagement strategies.
  • Strong verbal and written communication skills with the ability to train and mentor educators.
  • Exceptional time management, organizational skills, and attention to detail.
  • Ability to work in fast-paced, collaborative environments while fostering professional growth.
  • High level of energy, patience, empathy, and professionalism.
  • Strong business acumenability to connect extended learning programs to LIM solutions for growth.
  • Proficiency in technology platforms and virtual learning tools.
  • Passion for educational leadership and student success.

*Work Conditions: This role requires a nontraditional full-time work schedule consisting of afternoons Monday through Friday and facilitation of Saturday training and workshops.

Benefits for this position include medical, dental, and vision insurance, HSA, employee stock purchasing plan, 401(k), PTO, holiday pay, and more. Please visit https://franklincoveybenefits.com/ for details.
** Actual offer may be outside of this range and will be determined by education, experience, knowledge, skills, and abilities, as well as geographic location, internal equity, and alignment with market data.

***Unless otherwise noted, applications will be accepted for a minimum of three (3) days from the initial published date on the FranklinCovey job board, but the posting may close at any time after the specified duration.

Employer Information

Please visit franklincoveybenefits.com for a complete US benefits overview. Benefits may include medical, dental, or vision insurance, HSA, PTO, 401(k), holiday pay, employee stock purchasing options, or other benefits. To determine status eligibility, visit https://franklincoveybenefits.com/enroll/.

For more information regarding benefits in other locations, please email careers@franklincovey.com

For an overview of our Interview Process, please visit https://franklincovey.com/careers/working-at-franklincovey/.

FranklinCovey is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Please visit https://www.franklincovey.com/careers/notices-and-provisions/ for our full Equal Employment Opportunity policies and Nondiscrimination Provision.

Direct Reasonable Accommodation requests to accommodations@franklincovey.com.

For our Privacy Policy, please visit https://www.franklincovey.com/privacy.

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