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Machine Learning Co Op Jobs in Dallas, TX (NOW HIRING)

Work closely with business, product, Data Science, and engineering teams to co-create solutions and ... Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field Pay Range ...

Work closely with business, product, Data Science, and engineering teams to co-create solutions and ... Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field The ...

... Fall Co-op running from May-December. As a Project Engineer Intern, you will assist the project team in the completion of designated projects while focusing on learning construction industry ...

New

Internship, co-op, or professional engineering experience within a large-scale technology-driven ... Understanding of machine learning or data science fundamentals * Exposure to backend architecture ...

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

... AI), and machine learning (ML) initiatives. The Data Engineer I will participate in the ... Internship, co-op, research, or academic project experience in data engineering, cloud computing ...

Showing results 21-40

Machine Learning Co Op information

See Dallas, TX salary details

$25.2K

$42.1K

$87.1K

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

As of Aug 9, 2026, the average yearly pay for machine learning co op in Dallas, TX is $42,125.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Co Op vs Data Scientist?

AspectMachine Learning Co OpData Scientist
Required CredentialsTypically pursuing a degree in CS, Data Science, or related fields; internships often preferredUsually holds a bachelor's or master's in Data Science, Statistics, or related fields; advanced certifications beneficial
Work EnvironmentInternship setting, often part-time or seasonal, in tech or research companiesFull-time role in various industries, including tech, finance, healthcare, with collaborative teams
Employer & Industry UsageUsed by companies for training and evaluating potential future employees; common in tech and research sectorsHired for analyzing data, building models, and deriving insights; prevalent across multiple industries

While both roles involve working with data and algorithms, a Machine Learning Co Op is typically an internship aimed at gaining experience, whereas a Data Scientist is a full-time professional responsible for developing and deploying data models. The Co Op provides a stepping stone into the field, often leading to a full-time Data Scientist position.

What are the most commonly searched types of Machine Learning jobs in Dallas, TX? The most popular types of Machine Learning jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Machine Learning Co Op jobs? Cities near Dallas, TX with the most Machine Learning Co Op job openings:
Infographic showing various Machine Learning Co Op job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $42,125 per year, or $20.3 per hour.

AI/Machine Learning Engineer

Equinix, Inc.

Dallas, TX • On-site

$144 - $196/hr

Other

Medical, Life, Retirement, PTO

Re-posted 7 hours ago


Equinix rating

9.1

Company rating: 9.1 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

5th of 251 rated facilities management


Job description

Who are we?

Equinix is the worlds digital infrastructure company, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.

A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective. Help us challenge assumptions, uncover bias, and remove barriers - because progress starts with fresh ideas. You will find belonging, purpose, and a team that welcomes you - because when you feel valued, you're empowered to do your best work.

Job Summary

Independently leads and holds responsibility for multifaceted programs made up of multiple projects and processes; develops and reviews business cases for change and improvement.

Responsibilities Engineering Expectations (Core Capabilities)
  • Design and build end-to-end AI systems integrating ML models, LLMs, APIs, and enterprise data
  • Translate business requirements into scalable system architectures and solution designs
  • Develop backend services and API-driven architectures to operationalize intelligent systems
  • Implement data and model pipelines integrating structured and unstructured data sources
  • Work closely with Data Scientists and ML Engineers to integrate model outputs into production systems and decision workflows
  • Apply agent-based workflows and multi-step orchestration to enable complex system behavior
  • Ensure systems are production-ready - scalable, reliable, secure, and performant
  • Continuously improve system performance through testing, monitoring, and iterative refinement
Operating Model & Ways of Working
  • Work closely with business, product, Data Science, and engineering teams to co-create solutions and align on outcomes
  • Translate ambiguous problems into structured requirements and actionable system designs
  • Engage stakeholders regularly to refine solutions and drive adoption
  • Collaborate across teams to ensure integration with existing systems and enterprise standards
  • Maintain high-quality documentation and enable knowledge transfer and continuity
  • Take ownership of delivery by managing enhancements, releases, and system evolution
  • Stay current with industry trends and contribute to continuous improvement of team capabilities
Qualifications
  • 5+ years of experience in software engineering, AI/ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems
  • Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field
Pay Range

United States - Dallas Infomart Office DAI : 136,000 - 204,000 USD / Annual

Canada - Toronto Office TRO : 99,000 - 149,000 CAD / Annual

Equinix Benefits

As an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self to work.

Employee Assistance Program

An Employee Assistance program is available to all employees.

US Benefits
  • Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members.
  • Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future.
  • Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms.
Canada Core Benefits
  • Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members.
  • Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA).
  • Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion.

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an affirmative action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

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