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Machine Learning Engineer New Grad Jobs in Bryan, TX

DataAnnotation

Software Developer

College Station, TX · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

DataAnnotation

Backend Developer

College Station, TX · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

DataAnnotation

Back End Developer

College Station, TX · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

DataAnnotation

Application Developer

College Station, TX · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

DataAnnotation

Full Stack Developer

College Station, TX · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.

Tamus

Research Program Aide

College Station, TX · On-site

Experience with Python programming. * Basic knowledge of chemistry or materials science. * Familiarity with machine learning techniques and tools. * Ability to effectively communicate both orally and ...

Varsity Tutors

Python Tutor

College Station, TX · Remote

$40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Python Tutor

Bryan, TX · Remote

$40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

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Machine Learning Engineer New Grad information

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$29K

$118.7K

$178.4K

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

As of May 28, 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 job?

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.
More about Machine Learning Engineer New Grad jobs
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:
Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Bryan, TX as of May 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $118,736 per year, or $57.1 per hour.

Tenure-Track: Assistant Professor, Precision and Intelligent Horticulture

Texas A&M University

College Station, TX • On-site

Full-time

Posted 25 days ago

Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

189th of 528 rated colleges and universities

Job description

The Department of Horticultural Sciences, College of Agriculture and Life Sciences at Texas A&M University, invites applications for one full-time, 9-month, tenure-track Assistant Professor faculty position in Precision and Intelligent Horticulture. The anticipated start date for this opportunity is August 1, 2026. The successful candidate will establish a nationally and internationally recognized research and teaching program to advance horticultural science and production systems by developing and applying precision (robotics, mechanization) and intelligent technologies (machine learning, artificial intelligence). Research should directly support the sustainability, profitability, and resilience of Texas' diverse horticultural industries and ultimately benefit the people of Texas and beyond. Research areas may include, but are not limited to:
  • Improve horticultural crop production and management (fruits, vegetables, nuts, ornamentals, wine grapes) in open-field (primarily) and controlled environments by developing and applying precision tools and intelligent technologies.
  • Understanding plant stress mechanisms, quality assessment, harvest management, and resource-use efficiency by utilizing sensor technologies, automation, robotics, large datasets, machine learning, and AI-driven decision-support tools.
  • Plant breeding, genetics, physiology, and health management through integration of high-throughput digital phenotyping and genotyping.
  • Crop management and decision-making in horticulture crop through development of software and precision horticultural systems.
  • Advancement of landscape and interior-scape systems that enhance the quality of life in urban and peri-urban Texas communities.

The faculty member will be expected to collaborate across disciplines within Texas A&M AgriLife Research, Texas A&M AgriLife Extension, the College of Agriculture and Life Sciences, and industry partners. Opportunities exist to engage with major Texas horticultural industries, including viticulture and enology, citrus, pecans, vegetables, controlled environment horticulture, urban horticulture, ornamental and nursery production as well as applications in landscape horticulture, commercial landscape, and horticultural services. The successful candidate will be committed to advancing innovation and delivering solutions that make a positive difference for the state of Texas and beyond, in alignment with the land-grant mission of Texas A&M University.
Major Duties and Responsibilities
The successful candidate will develop an innovative, externally funded research program that solves key biological questions in horticultural science by application of precision and intelligent technologies. This includes conducting original research that leads to high-impact, peer-reviewed publications and contributes to the advancement of sustainable and profitable horticultural systems. The candidate will focus on biological questions of economic importance in horticultural crops and integrate sensing technologies, data analytics, automation, robotics, and artificial intelligence into high value crop production monitoring, management, and decision-making.
The candidate will also develop and teach new undergraduate and graduate courses in horticultural sciences with emphasis on precision and intelligent systems. The candidate will mentor graduate students, undergraduate researchers, and postdoctoral scholars, while inspiring the next generation of horticultural scientists to serve Texas and beyond.
Service expectations include making contributions to the Department, College, and University, as well as actively participating in professional societies. The individual will also be expected to engage with growers, commodity groups, and technology industries across Texas, supporting the land-grant mission of Texas A&M University to serve the state through teaching, research, and outreach that address real-world challenges.
Effort Distribution: 60% research, 30% teaching, and 10% service.
Qualifications
Required Qualifications
  • Ph.D. in horticultural sciences, agronomy, plant sciences, biology, or a closely related field.
  • Demonstrated ability or potential to secure extramural funding and develop a productive research program.
  • Evidence of effective teaching and mentoring.
  • Excellent scientific communication skills

Preferred Qualifications
  • Experience in studying biological questions and applying precision technologies in horticultural crops.
  • Record of publication in high-impact, peer-reviewed horticultural research journals.
  • Robust statistical skills and experience analyzing large datasets.
  • Engagement in mechanical engineering and robotics.
  • Computational skills, including coding, software development, artificial intelligence and machine learning.
  • Record of interdisciplinary collaboration and/or stakeholder engagement.
  • Familiarity with challenges and opportunities relevant to Texas horticulture.

Application Instructions
Applicants must submit:
  • A cover letter (2-page limit)
  • Curriculum Vitae
  • Personal statement to include philosophy and plans for research, teaching & service (single document; 3-page limit)
  • Contact information for three references.

Applications will only be accepted online at apply.interfolio.com/178019 .
Applications will be reviewed beginning January 15, 2026, and will continue until the position is filled.
Direct inquiries to:
Dr. Shuyang Zhen, Search Committee Chair
Department of Horticulture Sciences
Email: shuyang.zhen@tamu.edu
Application Process
This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Apply Now

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