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Machine Learning Intern Jobs in Missouri (NOW HIRING)

Preconstruction Intern

Columbia, MO · On-site

$16 - $20/hr

Participate in learning opportunities across departments to gain a full understanding of the development process from concept through construction. PRECONSTRUCTION INTERN QUALIFICATIONS: * Currently ...

Intern

Kansas City, MO

$14.75 - $19.50/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... As an intern at Battlefield FCA, you would have the opportunity to work alongside experienced staff ...

Intern

Kansas City, MO

$14.75 - $19.50/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... The intern position if for 8 weeks from May 12th to July 3rd. Interns primarily work on Mondays ...

Intern

Osage Beach, MO · On-site

$14.25 - $19/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... The intern position if for 8 weeks from May 12th to July 3rd. Interns primarily work on Mondays ...

Intern

Kansas City, MO

$14.75 - $19.50/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... intern's understanding of his/her individual calling to ministry through related training and ...

Intern

Kansas City, MO

$14.75 - $19.50/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... FCA Hockey Intern Program Fellowship of Christian Athletes Hockey is seeking individuals who are ...

Intern

Kansas City, MO

$14.75 - $19.50/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... intern's understanding of his/her individual calling to ministry through related training and ...

Intern

Kansas City, MO

$14.75 - $19.50/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... Ocoee FCA Intern About FCA: The Fellowship of Christian Athletes exists to lead every coach and ...

Intern

Kansas City, MO

$14.75 - $19.50/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... Personal Growth- We pour into our intern team with Christ-centered faith and leadership development.

Safety Intern/CoOp

Saint Louis, MO · On-site

$21 - $30/hr

The intern will employ a variety of scientific techniques and problem solving skills to ensure that ... Analysis of the interaction between co-workers and machinery/equipment. * Assessing the effect of ...

Intern

Cape Girardeau, MO · On-site

$14.50 - $19.50/hr

FCA Interns are collegiate volunteers who engage through FCA in a learning and developmental ... SEMO FCA Intern Positon Office Hours (Example-could be adjusted) Mon - (8-12) Wed - (8-12) Fri - (8 ...

Showing results 41-60

Machine Learning Intern information

See Missouri salary details

$23.9K

$39.9K

$82.5K

How much do machine learning intern jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning intern in Missouri is $39,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,500.00 and $43,100.00 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.

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

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

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

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

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

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

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

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

Infographic showing various Machine Learning Intern job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $39,944 per year, or $19.2 per hour.

$14 - $18.75/hr

Internship

Re-posted 13 days ago


Job description

The Family Support Network (FSN) Clinical Intern is responsible for providing ongoing in-home clinical services-family/individual therapy and parent education on a weekly basis to families in the St. Louis City or St. Louis County for children from 4 to age 18. Caseload size and readiness is determined by the Clinical Supervisor and/or Director of Family Services upon completion of orientation and onboarding,  and is reviewed regularly based upon clinical documentation review and observation.  The FSN Clinical intern will be supervised by an FSN therapist who will be a trained Field Instructor with a Master’s Degree. Training for the MSW Intern will be a combination of Epworth training, on-the-job onboarding with FSN Management Staff, and shadowing opportunities with FSN family therapists.  The Clinical Intern positions will receive a stipend payment $500 each at the beginning of their internships then another at the end.

Internship Learning Plan

Learning Objective #1: Student will learn how to conduct family assessments, develop treatment plans, measure outcomes and complete follow up evaluation home visits.

1. Student will complete experiential program orientation, including training on clinical best practices, documentation standards, and program procedures, and shadowing FSN therapists on client home visits.

2. Student will develop/establish professional, supportive helping relationships with clientele.

3. Student will provide parent education, psycho-education, skill-building, clinical interventions to client families.

4. Student will complete follow up home visits with clients to assess families’ current functioning and provide referrals for resources as needed.

5. Student will utilize the Strengthening Families Protective Factors Framework to increase each assigned families’ resilience against child abuse and neglect.

Learning Objective #2: Student will learn to use a team approach with other treatment team professionals as appropriate, and network with community agencies on behalf of clients, providing resource referrals as needed.

1. Student will participate in and coordinate interdisciplinary treatment teams to ensure comprehensive client supportive services; working with service providers and community organizations.

2. Student will provide case management and advocacy services to client families in order to ensure access to and full utilization of appropriate support services.

3. Student will participate in clinical roundtable and team meetings when available to learn team approach to staffing challenging cases and acquiring resources.

Learning Objective #3: Student will learn to maintain accurate and current records on clinical services and support services documentation for all assigned families.

1. Student will be trained in clinical documentation standards and program procedures for case record maintenance.

2. Student will participate in Case Record Review when available and schedule permits.

3. Student will maintain accurate and current records for all assigned families in the paper client file and ETO database in compliance with agency requirements.

4. Student’s clinical documentation will be reviewed by her/his Field Instructor at least twice per month.  Student will receive feedback to ensure she/he is documenting services in line with funder and accreditation standards, program procedures, and clinical best practices.

Learning Objective #4: Student will observe and acquire knowledge and skills necessary to be a professional social worker at a non-profit social service agency.

1. Student will participate in 1:1 weekly supervision with Field Instructor to obtain coaching for professional and therapeutic skills and to evaluate student learning and progress.

2. Student will have opportunity to attend clinical staffings, FSN Team Meetings, and other agency and community committee meetings as appropriate to gain understanding of professional social work services.

3. Student is encouraged to attend external workshops and trainings to enhance knowledge and skills.

4. Student will have access to FSN therapeutic resource library to support interventions with assigned clients.

5. Student will report child abuse and neglect incidents immediately, when there is immediate risk. In all other cases, student will report after consulting with Field Instructor or Clinical Supervisor.

Qualifications and Requirements:

  • Desired Majors: Graduate Student in social work at Washington University, University of Missouri-St. Louis, or St. Louis University.
    • FSN prefers students to have a year working with children under age 13 in any capacity, some experience in home visiting, and are focusing their studies on Children and Families and/or Mental Health/Clinical Social Work; they must exhibit knowledge of clinical skills to be allowed to have an independent caseload.
  • Desired Class Level(s): Graduate, Concentration or 2nd year practicum
  • Compensation: Children’s Service Fund related stipend as appropriate with CSF funding – for class credit; must be enrolled in a post-secondary degree program
  • Time Commitment: At least 2 semesters, 15-20 hours each week on site and including 6-8 hours direct client contact per week.
  • Availability: Availability on Monday mornings is preferred due to FSN meetings, but not required. After school and evening hours are preferred for completing home visits and shadowing therapists.
  • Evaluation: Evaluation of student learning and progress will occur regularly via 1:1 sessions throughout the internship experience. Epworth will conduct a formal evaluation of student learning at least once throughout the internship period and will coincide with established university processing in coordination with the office of Field Instruction.
  • Desired Majors: Graduate Student in social work at Washington University, University of Missouri-St. Louis, or St. Louis University.
    • FSN prefers students to have a year working with children under age 13 in any capacity, some experience in home visiting, and are focusing their studies on Children and Families and/or Mental Health/Clinical Social Work; they must exhibit knowledge of clinical skills to be allowed to have an independent caseload.
  • Desired Class Level(s): Graduate, Concentration or 2nd year practicum
  • Compensation: Children's Service Fund related stipend as appropriate with CSF funding - for class credit; must be enrolled in a post-secondary degree program
  • Time Commitment: At least 2 semesters, 15-20 hours each week on site and including 6-8 hours direct client contact per week.
  • Availability: Availability on Monday mornings is preferred due to FSN meetings, but not required. After school and evening hours are preferred for completing home visits and shadowing therapists.
  • Evaluation: Evaluation of student learning and progress will occur regularly via 1:1 sessions throughout the internship experience. Epworth will conduct a formal evaluation of student learning at least once throughout the internship period and will coincide with established university processing in coordination with the office of Field Instruction.