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Machine Learning Intern Jobs in Pompano Beach, FL

DoD Skillbridge Intern

Boca Raton, FL ยท On-site

$14.25 - $19/hr

Overview At GILBANE Building Company we recognize the commitment, ethics and values our Military Men and Women have developed and lived in support of our Nation. The military characteristics you ...

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Machine Learning Intern information

See Pompano Beach, FL salary details

$23.2K

$38.7K

$79.9K

How much do machine learning intern jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning intern in Pompano Beach, FL is $38,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,500.00 and $41,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the most commonly searched types of Machine Learning jobs in Pompano Beach, FL? The most popular types of Machine Learning jobs in Pompano Beach, FL are:
What are popular job titles related to Machine Learning Intern jobs in Pompano Beach, FL? For Machine Learning Intern jobs in Pompano Beach, FL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern jobs in Pompano Beach, FL look for? The top searched job categories for Machine Learning Intern jobs in Pompano Beach, FL are:
What cities near Pompano Beach, FL are hiring for Machine Learning Intern jobs? Cities near Pompano Beach, FL with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Pompano Beach, FL as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $38,664 per year, or $18.6 per hour.

Geotechnical Intern (Fall 2026) - Dynamic Earth

Dynamic Engineering Consultants, PC

Delray Beach, FL โ€ข On-site

Internship

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Dynamic Engineering is a nationally recognized multidisciplinary consulting firm providing engineering, surveying, environmental, planning, landscape architecture, traffic engineering, and related consulting services throughout the United States.


What began as a small engineering firm has grown into a family of companies with more than 400 professionals serving commercial, residential, industrial, institutional, and public-sector clients across a broad geographic footprint. Dynamic combines local expertise with the resources and capabilities of a growing national organization.


Founded on the belief that a strong culture drives exceptional performance, we remain committed to fostering collaboration, accountability, innovation, and professional growth while providing employees with meaningful opportunities to contribute, develop, and make an impact.


The Geotechnical Intern is responsible for various field, laboratory and engineering tasks needed to support the geotechnical group throughout regions where we do business.  Intern responsibilities typically include training to complete on site construction phase soil and concrete testing and inspection; conducting soil laboratory tests, and preparing inspection and data reports.  


  • Conduct construction site testing, inspection and sampling
  • Perform concrete placement tests including slump, air content, temperature, monitoring material compliance with project specifications, and concrete cylinder fabrication. Services also include sample transport to laboratory when applicable
  • Perform soil compaction testing and fill placement monitoring
  • Conduct laboratory soils testing for permeability, maximum dry density/optimum moisture content determination
  • Witness and document soil borings and/or test pit investigations as part of a site geotechnical investigation
  • Prepare inspection reports, laboratory data reports and other project correspondence
  • Deliver samples and/or testing equipment between sites, office and laboratory as needed
  • Perform other duties as assigned

  • Pursuing a Bachelorโ€™s Degree in Civil Engineering at a College/University, or pursuing a degree in a related field with relevance to Civil Engineering, ideally with goal of pursuing a career in Geotechnical Engineering
  • 0-2 yearsโ€™ experience in Geotechnical engineering (residential and/or commercial/industrial/office site design and permitting experience)
  • Engineer-In-Training (EIT) or EIT-track preferred
  • Valid driverโ€™s license, valid personal insurance, & a personal vehicle to travel to various sites during a given work day (note the company will reimburse you for the miles traveled for the company)
  • Ability to maintain and operate personal and/or company vehicle
  • Ideal candidate has completed construction materials laboratory class work

  • Knowledge of basic soil mechanics and introductory geotechnical science topics
  • Proficient in the use of Microsoft Software including Word, Excel, Outlook and Project
  • Excellent written and oral communication skills
  • Independent and critical thinking abilities
  • Self-starter who can work independently and with team members, and present themselves professionally and confidently on construction sites and in an office environment

At Dynamic, we believe great careers are built through meaningful work, continuous growth, and strong relationships. Whether you're launching your career or bringing years of experience, you'll have the opportunity to collaborate with talented professionals, contribute to impactful projects, and play a meaningful role in our continued success.

Dynamic Offers:

  • Competitive compensation and annual incentive opportunities
  • Comprehensive benefits, including medical, dental, vision, disability, life insurance, and a 401(k) plan with company match
  • Paid time off, company holidays, and family support benefits
  • Professional development, continuing education, and credential support
  • Employee Assistance Program (EAP) and wellness resources
  • Opportunities to collaborate across disciplines and contribute to meaningful projects
  • Direct access to experienced leaders and exposure to strategic business initiatives
  • A collaborative, entrepreneurial culture that encourages innovation, accountability, and long-term career growth
  • Meaningful responsibility and the opportunity to make an impact from day one

We are committed to fostering a workplace where all employees are treated with dignity, fairness, and respect. We believe diverse perspectives, experiences, and backgrounds strengthen our organization, improve decision-making, and help us better serve our employees, clients, and communities.


As an Equal Opportunity Employer, employment decisions are made without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, genetic information, or any other status protected by applicable law.