ZipRecruiter

Log In

1

Machine Learning Research Intern Jobs in Bryan, TX

Varsity Tutors

Statistics Graduate Level Tutor

Bryan, TX · Remote

$18 - $40/hr

Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Tamus

Research Specialist

College Station, TX · On-site

$5.4K/mo

Job Title Research Specialist Agency Texas A&M Agrilife Research Department Institute for Advancing ... Familiarity with cloud computing, high-performance computing clusters, and machine learning methods.

next page

Showing results 1-20

All JobsMachine Learning Research Intern JobsMachine Learning Research Intern Jobs in Bryan, TX

Machine Learning Research Intern information

See Bryan, TX salary details

$23.5K

$39.3K

$81.1K

How much do machine learning research intern jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning research 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 research intern?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.
What job categories do people searching Machine Learning Research Intern jobs in Bryan, TX look for? The top searched job categories for Machine Learning Research Intern jobs in Bryan, TX are:
What cities near Bryan, TX are hiring for Machine Learning Research Intern jobs? Cities near Bryan, TX with the most Machine Learning Research Intern job openings:
Machine Learning Research Intern jobs near you

Postdoctoral Research Associate

Texas Agricultural Experiment Station

College Station, TX

$4.1K/mo

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 29 days ago

Job description

Job Title

Postdoctoral Research Associate

Agency

Texas A&M Agrilife Research

Department

Horticultural Sciences

Proposed Minimum Salary

$4,166.67 monthly

Job Location

College Station, Texas

Job Type

Staff

Job Description

AboutTexas A&M AgriLife

Texas A&M AgriLife is comprised of the following Texas A&M University System members:

  • Texas A&M AgriLife Extension Service

  • Texas A&M AgriLife Research

  • College of Agriculture and Life Sciences at Texas A&M University

  • Texas A&M Forest Service

  • Texas A&M Veterinary Medical Diagnostic Laboratory

As thenation'slargestmostcomprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System.With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.

Clickhereto learn more about howyoucan be a part of AgriLife and make a difference in the world!

PositionInformation

Responsibilities:

Lead and coordinate lab activities, including scheduling, supply requisition, safety, and compliance (5%).

Conduct research on artificial intelligence (AI) and machine learning (ML) to analyze large-scale biological, genomic, metabolomic, and phenotypic dataset (25%).

Investigate the genetic, biochemical, and environmental factors influencing bioactive compounds and volatiles in fruits and vegetables (5%).

Developing AI-enabled decision support tools for breeding climate-resilient, high-quality horticultural crops (5%)

Maintain laboratory certification through record-keeping and quality assurance and collaborate with research teams, industry partners, and other experts, including participation in the tomato integrated project. Conduct field trials and collect samples across Texas as needed (10%).

Work with transdisciplinary scientists and analyze large data set (10%)

Train and mentor undergraduate and graduate students, as well as visiting scientists (10%).

Participate in grant writing, manuscript preparation, and dissemination of research through peer-reviewed publications (5%).

Perform additional duties as assigned by the Director of the Vegetable and Fruit Improvement Center (25%).

Required Qualifications:

Ph.D. in related field.

Preferred Qualifications:

Experience in artificial intelligence (AI), machine learning (ML) and Genomic selection related to climate resilience and secondary metabolites of fruits and vegetables.

Preferred licenses or certifications:

Ability to obtain a valid US driver's license.

Knowledge, Skills, and Abilities:

Experience applying artificial intelligence (AI) and machine learning (ML) to analyze large-scale biological, genomic, metabolomic, and phenotypic datasets.

Knowledge of genomic selection, genomic prediction, GWAS, quantitative genetics, and statistical learning for crop improvement.

Experience integrating multi-omics datasets (genomics, transcriptomics, metabolomics, phenomics, microbiome) for predictive modeling and biological interpretation.

Proficiency in Python, R, AI/ML frameworks, and bioinformatics pipelines for high-throughput data analysis and decision support in plant breeding.

Experience developing AI-enabled decision support tools for breeding climate-resilient, high-quality horticultural crops.

Familiarity with statistical modeling and computational approaches for bioactive compound analysis.

Next-generation sequencing, metagenomics, RNA-seq and transcriptomics analysis.

Multi-omics integration.

Bioinformatics and data analysis using R and Python.

AI/ML-assisted biological data analysis.

Ability to manage laboratory personnel, inventory, and research projects.

Strong background in preparing safety manuals, analytical methods, and standard operating procedures.

Experience in disseminating research findings through reports, presentations, and grant proposals.

Mentorship experience with students and lab members.

Machine or equipment used to perform the essential duties of this position:

computer 20 hours, telephone 5 hours, calculator 1 hour.

Why Work at Texas A&M AgriLife?

When you choose toworkfor Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents.

In addition, Texas A&M AgriLife offers a comprehensive benefit packageincluding the following:

  • Health, dental, vision, life and long-term disability insurancewith Texas A&M AgriLife contributing to employee health and basic life premiums

  • 12-15 days of annual paid holidays

  • Up to eight hours of paid sick leaveand at leasteight hours of paid vacation each month

  • Automatic enrollment in theTeacher Retirement System of Texas

  • Employee Wellness Initiative for Texas A&M AgriLife

ApplicantInstructions

Applications received by Texas A&MAgriLifemust either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

RequiredDocuments

CV/ Resume

Cover letter

List of references

Certifications/additional documentation

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

Apply