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Fall Machine Learning Co Op Jobs in New Mexico (NOW HIRING)

$18 - $50/hr

Student Programs and Early Careers Technical Marketing Co-Op Explore an exciting internship ... The ever-changing landscape of our work promises constant excitement and learning opportunities.

$18 - $50/hr

Student Programs and Early Careers Technical Marketing Co-Op Explore an exciting internship ... The ever-changing landscape of our work promises constant excitement and learning opportunities.

$18 - $50/hr

Student Programs and Early Careers Technical Marketing Co-Op Explore an exciting internship ... The ever-changing landscape of our work promises constant excitement and learning opportunities.

$18 - $50/hr

Student Programs and Early Careers Technical Marketing Co-Op Explore an exciting internship ... The ever-changing landscape of our work promises constant excitement and learning opportunities.

$18 - $50/hr

Student Programs and Early Careers Technical Marketing Co-Op Explore an exciting internship ... The ever-changing landscape of our work promises constant excitement and learning opportunities.

$100K/yr

FALL 2026 GRADUATE ENGINEER As a Graduate Engineer, you will be responsible for working on creative solutions to real aerospace challenges. You will be given as much responsibility as our full-time ...

$100K/yr

FALL 2026 GRADUATE ENGINEER As a Graduate Engineer, you will be responsible for working on creative solutions to real aerospace challenges. You will be given as much responsibility as our full-time ...

$100K/yr

FALL 2026 GRADUATE ENGINEER As a Graduate Engineer, you will be responsible for working on creative solutions to real aerospace challenges. You will be given as much responsibility as our full-time ...

$100K/yr

FALL 2026 GRADUATE ENGINEER As a Graduate Engineer, you will be responsible for working on creative solutions to real aerospace challenges. You will be given as much responsibility as our full-time ...

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Fall Machine Learning Co Op information

What is a Fall Machine Learning Co Op job?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

What job categories do people searching Fall Machine Learning Co Op jobs in New Mexico look for? The top searched job categories for Fall Machine Learning Co Op jobs in New Mexico are:
What cities in New Mexico are hiring for Fall Machine Learning Co Op jobs? Cities in New Mexico with the most Fall Machine Learning Co Op job openings:
Scientific Software Developer Paid Co-op/Internship

Scientific Software Developer Paid Co-op/Internship

Stellar Science

Albuquerque, NM โ€ข On-site

$18.75 - $24.50/hr

Full-time, Internship

Posted 24 days ago


Job description

Selected Interns or Co-op students will support object-oriented C++ software development in the following domains: space domain awareness (SDA), image simulation, space systems modeling, laser source generation and effects modeling, high power microwave systems modeling and simulation, computer vision, image processing, artificial intelligence (AI), machine learning (ML), atmospheric modeling, computational electromagnetics (CEM), high performance computing (HPC), computer aided design (CAD) tools, meshing, thermal modeling, and more.
The main requirements are that candidates be top-notch, responsible, self-motivated, honest, able to work well independently or in small teams, and be able to rapidly learn new languages, tools, and techniques as needed to meet mission requirements.
Applicants who convey a passion for developing quality code, through listed projects, a github link, or other software development experiences, will be given preference.
This is a paid cooperative/internship learning experience.
Minimum Requirements:
  • Majoring in physics, math, electrical/mechanical/aerospace engineering, computer science, or any relevant scientific or engineering field
  • Ability to implement, understand, and maintain mathematical and scientific software libraries
  • Software development experience in C++
  • Must be available for full time employment within a year of completing this internship
  • U.S. citizen willing to undergo background investigation and perform some work at government or customer sites

Experience in any of the following is a plus:
  • Cross-platform software development on Linux and Windows
  • 3D graphics using OpenGL, Open Scene Graph, WebGL, Vulkan
  • User interface development with Qt, Java Swing, Typescript, React, MaterialUI
  • Supercomputing, CUDA, OpenMP, MPI, threads, GPU
  • Image processing, imagery analysis, computer vision, computer aided design (CAD), meshing
  • Aerospace vehicles, orbital mechanics, electromagnetics, space domain awareness
  • Artificial Intelligence, Machine Learning
  • Modeling and simulation
  • Directed energy (lasers, microwave), thermal analysis

A representative sample of your code will be requested early in the evaluation process, e.g. something you've written for work, a school project, or for fun. It should be long enough to demonstrate your programming and software engineering skills.
About Stellar Science: We are a growing Albuquerque-based computational science company seeking talented computer programmers to create and extend exciting scientific and engineering analysis applications. We maintain high standards in all our software development efforts, utilizing modern development practices including continuous integration, test-driven development, pair programming, and code reviews in order to develop high quality, maintainable, and reusable code. By employing a lightweight development process, we remain highly productive and responsive to changing customer needs.