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Fall Machine Learning Co Op Jobs in Texas (NOW HIRING)

Abbott

2026 Summer Engineering Co-Op

Plano, TX · On-site

$16.45 - $32.85/hr

Co-op-Typically a 6- to 8-month, full-time assignment * Each year, Abbott has Co-ops on assignment ... Students receive learning experiences and meaningful work that challenge and reward, working on ...

Abbott

2026 Summer Engineering Co-Op

Plano, TX · On-site

$16.45 - $32.85/hr

Co-op-Typically a 6- to 8-month, full-time assignment * Each year, Abbott has Co-ops on assignment ... Students receive learning experiences and meaningful work that challenge and reward, working on ...

Nokia

Customer Engineering Co-Op

Coppell, TX · Hybrid

$16.50 - $21.50/hr

A learning environment that fosters both personal growth and professional development - for your ... Experience working with Linux or virtual machine environments. * Contribute to lab setups by ...

Nokia

Customer Engineering Co-Op

Coppell, TX · On-site

$20.10 - $70.40/hr

Experience working with Linux or virtual machine environments. About Us Advancing connectivity to ... A learning environment that fosters both personal growth and professional development - for your ...

University Co-op

Creative Intern

Austin, TX · On-site

... Learning, Problem Solving Key Accountabilities & Achievements: * Assist with Product Photography ... Execute creative work in alignment with established Co-op brand standards across all visual formats ...

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Fall Machine Learning Co Op information

See Texas salary details

$23.8K

$39.7K

$82K

How much do fall machine learning co op jobs pay per year?

As of Jun 30, 2026, the average yearly pay for fall machine learning co op in Texas is $39,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Fall Machine Learning Co Op jobs in Texas? For Fall Machine Learning Co Op jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Fall Machine Learning Co Op jobs in Texas look for? The top searched job categories for Fall Machine Learning Co Op jobs in Texas are:
What cities in Texas are hiring for Fall Machine Learning Co Op jobs? Cities in Texas with the most Fall Machine Learning Co Op job openings:
Fall Machine Learning Co Op jobs near you
Infographic showing various Fall Machine Learning Co Op job openings in Texas as of June 2026, with employment types broken down into 32% Full Time, and 68% Part Time. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $39,673 per year, or $19.1 per hour.
University Co-op - Commercial 2026

University Co-op - Commercial 2026

Phillips 66

Houston, TX • On-site

Part-time

Posted 5 hours ago

Phillips 66 rating

7.2

Company rating: 7.2 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

35th of 74 rated oil and gas companies

Job description

Phillips 66 & YOU - Together we can fuel the future.
As a University Co-op in our Commercial organization, you will gain hands-on experience analyzing fast-moving energy markets and helping our teams deliver practical solutions for customers. Working from our Houston, TX headquarters, you will partner with experienced commercial professionals to support market analysis, risk management, and logistics optimization. This part-time co-op lets you apply what you're learning in the classroom while exploring a future career at Phillips 66.
Your Experience Could Include
  • Support commercial teams by analyzing energy market data, pricing trends, and supply and demand fundamentals to help identify opportunities and risks.
  • Assist with developing and updating tools, reports, and presentations that summarize market intelligence for commercial leaders.
  • Contribute to evaluations of logistics options across pipelines, terminals, marine, and other modes to help optimize asset utilization and customer solutions.
  • Partner with commercial and analytics colleagues to validate data, troubleshoot discrepancies, and help ensure information quality in key systems.
  • Participate in projects that improve commercial processes and performance, such as process mapping, benchmarking, and simple data automation or visualization tasks.
  • Engage with recent graduates and experienced leaders to learn about career paths, gain feedback on your work, and build your understanding of the energy value chain.
  • Demonstrate a strong commitment to Phillips 66 safety and ethical standards in all analyses, recommendations, and interactions.

What You'll Bring - Required
  • Currently enrolled in a Bachelor's degree program or a Master's degree program.
  • Greater than 60 hours of earned college credit.
  • Graduation date of December 2026 or later.
  • Available to work part time between 20-25 hours per week during the co-op term.
  • Available to work at the Houston, TX headquarters.
  • Legally authorized to work in the job posting country

What Makes You Stand Out - Preferred
  • A minimum cumulative GPA of 3.0 on a 4.0 scale.
  • Previous internship or co-op experience in a related industry or functional area.
  • Proficiency in Microsoft Excel, Word, PowerPoint or Python.
  • Demonstrated analytical curiosity and interest in energy markets, trading, and commercial problem solving.
  • Desire to collaborate, ask questions, and bring innovative thinking to customer challenges.

Phillips 66 has more than 140 years of experience in providing the energy that enables people to dream bigger and go farther, faster. We are committed to improving lives, and that is our promise to our employees and our communities. We are sustained by the backgrounds and experiences of our diverse teams, which reflect who we are, the environment we create and how we work together. We have been recognized by the Human Rights Campaign, U.S. Department of Labor and the Military Times for our continued commitment to inclusive practices and policies in the hiring and retention of those in the LGBTQ+ community and military veterans. Our company is built on values of safety, honor and commitment. We call our cultural mindset Our Energy in Action, which we define through four simple, intuitive behaviors: We work for the greater good, create an environment of trust, seek different perspectives and achieve excellence.
Learn more about Phillips 66 and how we are working to meet the world's energy needs today and tomorrow, by visiting phillips66.com.
To apply and be considered:
  • Apply online by going to careers.phillips66.com and complete the entire application process
    • Attach an electronic copy of your resume
    • Answer all prescreening questions and provide your eSignature

Candidates for regular U.S. positions must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a)(1). Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Phillips 66 is an EEO and Affirmative Action Employer of Women/Minorities/Veterans/Individuals with Disabilities

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