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Machine Learning Engineer New Grad Jobs in Bryan, TX

Machinist II

College Station, TX · On-site

$18 - $24.50/hr

Job Title Machinist II Agency Texas A&M Engineering Department Workforce Development Proposed ... Robust free training access through LinkedIn Learning plus professional development opportunities.

Machinist II

College Station, TX

$18 - $24.50/hr

Job Title Machinist II Agency Texas A&M Engineering Department Workforce Development Proposed ... Robust free training access through LinkedIn Learning plus professional development opportunities.

Business Analytics Tutor

Bryan, TX · Remote

$18 - $40/hr

Ability to explain statistical modeling techniques, machine learning basics, and business ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

... machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

... artificial intelligence (AI), machine learning, and general programming. * Assists with ... Demonstrated ability and willingness to learn new technologies, complete training, and adapt to ...

New

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Showing results 21-40

Machine Learning Engineer New Grad information

See Bryan, TX salary details

$29K

$118.7K

$178.4K

How much do machine learning engineer new grad jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning engineer new grad in Bryan, TX is $118,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $142,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What cities near Bryan, TX are hiring for Machine Learning Engineer New Grad jobs? Cities near Bryan, TX with the most Machine Learning Engineer New Grad job openings:
Infographic showing various Machine Learning Engineer New Grad job openings in Bryan, TX as of August 2026, with employment types broken down into 74% Full Time, 13% Part Time, and 13% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $118,736 per year, or $57.1 per hour.

Tenure-Track: Assistant Professor of Biological Engineering

Texas A&M University

College Station, TX • On-site

Full-time

Posted 7 days ago


Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

228th of 616 rated colleges and universities


Job description

Description
The Department of Biological and Agricultural Engineering in the College of Agriculture and Life Sciences at Texas A&M University invites applications for a 9-month, full-time, tenure-track faculty position in Biological Engineering The successful candidate will be expected to: 1) use a multi-disciplinary systems approach to develop a nationally recognized research program focusing on but not limited to the following areas: (a) application of engineering principles and tools to biological systems - including microbes, viruses, toxins, plants, and animals - to optimize agricultural production, food safety, and environmental safety and sustainability, (b) analysis, sensing and modeling (computational/numerical, molecular) of microbial and organic materials including micro,- nanoplastics in food and airborne pathogen control for a deep understanding of the role of food processing technologies on microbial behavior and product safety; (c) design of processes and technologies for food, bioprocess, and molecular engineering applications, including food manufacturing systems, bioprocess development, and molecular-level engineering of biological components, with emphasis on structure-function relationships in biomolecules and complex biological systems, as well as food quality, safety, functionality, and sustainability, including management of bioaerosol emission, waste valorization and circular bioeconomy approaches; 2) develop and teach undergraduate and graduate courses in engineering based on the interests and needs of the Biological and Agricultural Engineering Department; 3) secure extramural funding from a variety of sources including federal, state, industry and private sources; and 4) serve the Department, College and University as assigned, and as opportunity and expertise permits.
The candidate should aspire to lead a research program that fuses molecular/cellular bioscience and molecular modeling with quantitative engineering analysis/synthesis approaches, including Artificial Intelligence and Machine Learning. Areas of high priority include cutting edge, multiscale, data-driven approaches in non-medical molecular biotechnology, AI-enabled digital representations of biological systems, microbiome engineering (with emphasis on designing novel microbial capabilities to enable circular bio-economy, foster sustainable agriculture, and mitigate the impacts of climate change), and food safety, including applications in materials, chemicals, agriculture, sustainability, energy and the indoor / outdoor environment.
Collaboration with AgriLife Extension Faculty, participation in professional development activities and an appropriate level of service to the department, institution, and/or profession is expected.
Qualifications
Required Qualifications: Applicants must have an earned doctorate (Ph.D.) in Biological Engineering, Chemical Engineering, Agricultural Engineering, Food Engineering, or closely related engineering discipline. The ideal candidate will have a strong commitment to lead a novel research program in the engineering of biological based products, their processes and mitigation of contaminants using experimental and modeling tools.
Successful candidates must have excellent verbal and written communication skills, an ability to work both independently and in multi-disciplinary teams and a willingness to advise and mentor students.
Applicants must be licensed or be eligible to obtain a license as a Professional Engineer at the time of appointment.
Preferred Qualifications: Demonstrated potential to excel in conducting and publishing high impact research, developing an independent research program, collaborating with interdisciplinary teams of engineers and scientists and successful grant writing. Motivation and skills to educate students through academic programs in engineering at BAEN including the Agricultural Systems Management (AGSM) curriculum and in other departments.
Application Instructions
Interested applicants must apply through the Texas A&M University faculty job board hosted by Interfolio at https://apply.interfolio.com/189122 and upload the following:
1) cover letter, 2) curriculum vitae, 3) a three-page personal statement to include philosophy and plans for research, teaching and service, 4) names and contact information of three (3) professional references. Please direct any questions to Dr. Maria King at Maria.King@ag.tamu.edu. Review of applications will begin on September 15, 2026, and will continue until the position is filled.

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