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Machine Learning Intern Jobs in Bryan, TX (NOW HIRING)

Intern

College Station, TX · On-site

$11.50 - $15.25/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 ...

Machine Learning Intern information

See Bryan, TX salary details

$23.5K

$39.3K

$81.1K

How much do machine learning intern jobs pay per year?

As of Jul 17, 2026, the average yearly pay for machine learning intern in Bryan, TX is $39,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,000.00 and $42,400.00 per year, depending on experience, location, and employer.

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 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 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 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 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 most commonly searched types of Machine Learning jobs in Bryan, TX? The most popular types of Machine Learning jobs in Bryan, TX are:
What are popular job titles related to Machine Learning Intern jobs in Bryan, TX? For Machine Learning Intern jobs in Bryan, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Bryan, TX look for? The top searched job categories for Machine Learning Intern jobs in Bryan, TX are:
What cities near Bryan, TX are hiring for Machine Learning Intern jobs? Cities near Bryan, TX with the most Machine Learning Intern job openings:
Community Development Intern

Community Development Intern

City of College Station

College Station, TX

$13 - $17.25/hr

Other

Re-posted 9 days ago


City Of College Station rating

7.8

Company rating: 7.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

351st of 693 rated public administrative organizations


Job description

Description The Community Development Intern is a qualified undergraduate or graduate student currently enrolled in an Urban Planning, Public Administration, or closely related program. The goal of this internship is to provide the student with a meaningful, hands-on learning experience in community development and municipal government while fostering professional growth, technical skill development, and exposure to real-world planning practice. Unlike traditional internships that focus primarily on supporting departmental projects, this internship is designed around the educational and professional interests of the student.

The intern will identify and pursue a community development-related research project of their choosing, with guidance and mentorship provided by Community Development staff throughout the semester. The intern will gain practical experience in planning research, data collection, community engagement, policy analysis, professional communication, and project development. A strong emphasis will be placed on real-world information gathering through direct interaction with community members, professionals, stakeholders, and governmental agencies.

Research activities may include conducting in-person or telephone interviews, coordinating outreach efforts through email and other communication methods, collecting field observations, facilitating surveys, and analyzing data relevant to the intern's chosen topic. The internship will also provide opportunities to learn about the broader functions of local government through exposure to multiple City departments and professionals. Based on the intern's interests, staff will coordinate opportunities to meet with subject matter experts and observe the work of departments such as Planning and Development Services, Economic Development, Engineering, Public Works, Parks and Recreation, Neighborhood Services, Code Enforcement, and others.

The internship is intended to provide a comprehensive introduction to the operations of local government and the many disciplines that contribute to community development. Principal Duties 1.Develop and complete an independent community development research project on a topic approved by Community Development staff. 2.Conduct qualitative and quantitative research related to the selected project

3.Collect information through field observations, interviews, surveys, public records, and other research methods. 4.Conduct in-person, telephone, and electronic outreach to community members, stakeholders, organizations, and professionals as appropriate. 5.Analyze and interpret research findings and develop conclusions based on collected data

6.Prepare written reports, presentations, policy summaries, or other deliverables related to the selected project. 7.Deliver periodic presentations to staff regarding project progress, research findings, and lessons learned. 8.Participate in meetings, site visits, and professional development opportunities with Community Development staff and other City departments

9.Meet with local government professionals and subject matter experts to gain exposure to various career paths and areas of municipal service. 10.Perform other learning and professional development activities as assigned. Learning Objectives Through this internship, the student will have opportunities to develop and strengthen the following skills: Technical Skills Planning and community development research methods Qualitative and quantitative data collection Survey design and administration Interview techniques and stakeholder engagement Data analysis and interpretation Policy research and evaluation Demographic, housing, economic, and community analysis Professional report writing and presentation development Basis project planning and management Professional and Soft Skills Verbal and written communication Public speaking and presentation skills Interpersonal relationship building Professional networking Stakeholder engagement and public outreach Critical thinking and problem-solving Time management and organization Professional etiquette in a government environment Collaboration with multidisciplinary teams Adaptability and independent learning Local Government Knowledge Municipal Planning and community development practices Roles and responsibilities of local government departments Public policy development and implementation Community engagement and public participation processes Interdepartmental collaboration in local government Career pathways within planning, community development, and municipal administration Qualifications Required: Currently enrolled as an undergraduate or graduate student in Urban Planning, Public Administration, or closely related program

Interest in community development, housing, land use planning, public policy, or local government. Strong written and verbal communications skills. Ability to conduct research and synthesize information from multiple sources.

Ability to interact professionally with community members, stakeholders, and staff. Proficiency with Microsoft Office applications, including Word, Excel, and Power Point. Ability to work independently while receiving mentorship and guidance.

Excellent interpersonal, organizational, and time management skills. Preferred: Coursework in community development, housing, land use planning, urban policy, economic development, or public participation. Experience conducting research, surveys, interviews, or data analysis.

Familiarity with GIS software (ArcGIS or QGIS). Interest in local government, public service, community engagement, and civic leadership. Supplemental Information COMPENSATION: Unpaid DATES: Fall Semester HOURS:20 hours/week ------------------------------------------------------------------------------------------------------------- An Equal Opportunity and Military Friendly Employer APPLICATIONS MAY BE FILED ONLINE AT: www.cstx.gov/careers recruiting@cstx.gov


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