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Machine Learning Engineer New Grad Jobs in Bryan, TX

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 ...

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 ...

Statics Tutor

College Station, TX · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Statics Tutor

Bryan, TX · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Quality Engineer

College Station, TX · On-site

$59K - $76K/yr

Develop and maintain control plans and lead new/current product improvements * Track and resolve ... Desire for innovative thinking and continual learning * Excellent coaching, mentoring, mediating ...

Horizon Firearms: CNC Programmer

Bryan, TX · On-site

$24.50 - $33.50/hr

Description: CNC Programmer * Do you enjoy improving machining processes and optimizing CNC ... Support initial setups and prove-out of new programs on the floor * Diagnose and resolve machining ...

Replit Tutor

Bryan, TX · Remote

$18 - $40/hr

Emphasizes accessible development without local setup and connects Replit to learning programming ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Replit Tutor

College Station, TX · Remote

$18 - $40/hr

Emphasizes accessible development without local setup and connects Replit to learning programming ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

CNC Machinist

Brenham, TX · On-site

$22 - $35/hr

... new product development to final production through concurrent engineering services, quick ... Day Shift - M-F, 8-10 hours/ day Job Duties and Responsibilities:  * Assist machine shop ...

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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 Jul 18, 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.

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:
Tenure-Track: Assistant Professor

Tenure-Track: Assistant Professor

Texas A&M University

College Station, TX • On-site

Full-time

Posted 12 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

204th of 555 rated colleges and universities


Job description

Description
The Department of Agricultural Leadership, Education, and Communications (ALEC), College of Agriculture and Life Sciences at Texas A&M University, invites applications for a cohort hire of up to four full-time, 9-month Assistant Professor faculty positions with academic, scholarly, and professional credentials and accomplishments in the social sciences, specifically pertaining to Artificial Intelligence. The selected candidate(s) are expected to start on August 1, 2027.
The successful candidate will contribute to the continued growth of ALEC academic programs, specifically the Ph.D. programs in Agricultural Leadership, Education, and Communications and the undergraduate degrees in Agricultural Communications & Journalism (AGCJ), Agricultural Education (AGED), and Agricultural Leadership (ALED), or the special instructional areas of Applied Youth Development (AYD) and International Agriculture Development (IDAG). The position carries a division of effort of 50% research, 40% teaching, and 10% service. The individual(s) in this position are expected to obtain federal, state, industrial, and/or foundation funding to support and sustain a vigorous research program.
Applicants should have an interest in interdisciplinary research with our departmental faculty, undergraduate and graduate education, and community-engaged outreach. We welcome applicants whose scholarship bridges research and practice in the social, behavioral, and lifes sciences of agriculture, in its breadth of variations, with a plan to move policy and lead reform. Candidate(s) selected will work closely within a Cluster for Community Engagement.
The Department of Agricultural Leadership, Education, and Communications is housed in the heart of the College of Agriculture and Life Sciences. The department is home to approximately 1,200 undergraduate students, 200 graduate students, and more than 30 faculty scholars from around the globe. The website provides extensive information about the work being conducted.
We seek tenure-track Assistant Professor(s) whose research advances the use and understanding of artificial intelligence in agricultural communication, education, and social systems. The successful candidate will contribute to methodological innovation and theory-building at the intersection of AI and social science, with applications in areas such as science communication, curriculum design, and public trust in food, agriculture, and One Health contexts.
Applicants should have a strong interest in interdisciplinary research that integrates departmental and college faculty, undergraduate and graduate students, and Texas communities. We welcome applicants whose scholarship bridges research and practice in one of the fields below.
  • Digital Science Communications - Animation Agriculture

o Focused on the use of animation and immersive digital media to communicate agricultural science, technology, and policy to different audiences in agricultural communications.
  • AI-Enabled Social and Behavioral Science in Agricultural Systems

o Focus on human-AI interaction in agriculture, including decision-making, behavior change, adoption, trust, and risk perception. Candidates might bring strengths in experimental design, causal inference, behavioral modeling, and survey or computational sciences
  • Computational Methods for Agricultural Education

o Focus on NLP, machine learning, and learning analytics as they relate to communication and education. This includes AI-supported curriculum design and evaluation in agricultural education, as well as measurement of learning, engagement, and outcomes. This line would emphasize the societal implications of AI in agricultural and health-related systems.
  • Immersive Simulation Developer for Community Leadership Development

o Develops and studies AI-enabled immersive simulations to enhance community leadership learning, decision making, and engagement in agriculture and life sciences.
  • Advisory Application Development in Stakeholder Engagement

o Enhance extension engagement, stakeholder decision-making, and applied learning in agriculture
  • AI, Ethics, and Trust in Food, Agriculture, and One Health Systems

o Focus on trust in AI-mediated information environments, including misinformation, transparency, and algorithmic accountability, as well as cross-cultural and multilingual communication. This line would emphasize the societal implications of AI in agricultural contexts.
  • Agentic AI for Agricultural Leadership, Education, and Decision Systems

o Studies, designs, and evaluates autonomous and semi-autonomous AI systems that act, adapt, and collaborate with humans in agricultural leadership, education, communication, international development, and extension contexts.
Qualifications
Required qualifications
  • Ph.D. with a closely related discipline. Strong examples might include Agricultural Education/Leadership; Learning Sciences/Educational Technology; Agricultural Communications or Informational Sciences; Human-Computer Interaction/Human-Centered AI; Sociology, Psychology, or Youth Development; Organizational Studies; or International Development.
  • Evidence of research productivity or strong potential in Artificial Intelligence, including publications in Web of Science and a clear path toward externally funded research.
  • An appropriate range of methodological expertise that closely aligns with ALEC's identity as a social-science driven department, including predictive modeling, analytics, experiments, human-centered AI, participatory design, fairness analysis, bias detection, policy-oriented analysis.
  • Academic preparation and experience in teaching and/or facilitating programs.

Preferred qualifications for the position
  • A minimum of three years of employment in the agriculture and/or technology industry.
  • Familiarity with the Land Grant Mission, established by the Morrill Acts of 1862 and 1890.
  • Current state-recognized K-12 teaching certificate/licensure from any state.
  • Professional experience in agricultural extension education, agricultural leadership education and development, or other formal, informal, or nonformal educational settings.
  • Demonstrated ability or potential to develop curriculum, teach, and mentor undergraduate and graduate students.
  • Evidence of effective communication, perspective-taking, and collegiality aligned with effective service at the departmental, college, university, and professional levels.
  • Experience working on interdisciplinary projects, program evaluation, and the application of advanced development methods and statistics in the integration of research and practice.
  • An approved federal NIFA program (i.e. Hatch, McIntire-Stennis, Multistate)

Application Instructions
Applications must be submitted online at: https://apply.interfolio.com/187329.
Applicants must submit:
  • Cover letter summarizing your interest in and qualifications for the position in .pdf format;
  • Current curriculum vitae that includes research activity, teaching experience, and service to the profession in .pdf format;
  • Personal statement that includes a guiding philosophy and plans for research, teaching, and service. Limit your statement to 3 pages, Times New Roman 12 pt font, in .pdf format;
  • Name and contact information for three professional references.

If you have questions about the position(s), please contact Dr. Robert Strong at robert.strongjr@ag.tamu.edu. The selected candidate is expected to begin August 1, 2027.
Review of applications will begin 45 days following the position posting and will continue to review until filled.

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