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

Tamus

Instrument Maker III

College Station, TX

... of scientific instruments and research apparatus. In this hands-on position, you'll work closely ... The ideal candidate will bring extensive machine shop experience, strong proficiency in SolidWorks ...

Texas A&M University System Office

Technician III

Bryan, TX · On-site

$3.6K - $4.6K/mo

... science center, nine state agencies, and the RELLIS Campus. The Texas A&M University System mission ... machinery. - Maintain daily interaction with faculty, students and staff in a diverse learning ...

Tamus

Technician III

Bryan, TX · On-site

$3.6K - $4.6K/mo

... science center, nine state agencies, and the RELLIS Campus. The Texas A&M University System mission ... machinery. - Maintain daily interaction with faculty, students and staff in a diverse learning ...

Varsity Tutors

Statics Tutor

College Station, TX · Remote

$18 - $40/hr

... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ... learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring ...

Varsity Tutors

Statics and Dynamics Tutor

Bryan, TX · Remote

$18 - $40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring ...

Varsity Tutors

Statics Tutor

Bryan, TX · Remote

$18 - $40/hr

... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ... learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring ...

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All JobsScientific Machine Learning JobsScientific Machine Learning Jobs in Bryan, TX

Scientific Machine Learning information

See Bryan, TX salary details

$12

$29

$48

How much do scientific machine learning jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for scientific machine learning in Bryan, TX is $29.02, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $37.02 per hour, depending on experience, location, and employer.

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What are some common challenges faced by professionals in scientific machine learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

What are the key skills and qualifications needed to thrive as a scientific machine learning professional, and why are they important?

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What is the difference between Scientific Machine Learning vs Data Scientist?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

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

Mechanical Engineering Tutor

Varsity Tutors

College Station, TX • Remote

$18 - $40/hr

Part-time

Re-posted 7 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 23 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Mechanical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Mechanical Engineering Tutor
  • Advanced Subject Mastery: Deep knowledge of statics, dynamics, mechanics of materials, thermodynamics, fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems. Ability to explain free body diagrams, stress-strain relationships, Bernoulli equation, and heat conduction principles while preparing students for mechanical engineering coursework, the FE examination, and professional practice.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down free body diagram construction, stress analysis, and thermal system design. Guides students through solving static equilibrium problems, analyzing beam deflection, designing heat exchangers, computing fluid flow parameters, and selecting machine components. Emphasizes systematic engineering problem-solving approaches and connects mechanical engineering to automotive, aerospace, energy systems, and manufacturing applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with mechanical engineering curricula and common challenges such as three-dimensional equilibrium problems, Mohr circle analysis, and thermodynamic cycle analysis. Adapts instruction using engineering handbooks, computational tools, and design project guidance to support undergraduate mechanical engineering students from introductory mechanics through advanced thermal-fluid systems and machine design courses.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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