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Machine Learning Engineer Intern Jobs in Palm Bay, FL

Software Engineer

Cape Canaveral, FL

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Software Engineer will be responsible for designing, implementing, and maintaining complex ... Machine learning/AI concepts * Performance optimization techniques * Enterprise architecture ...

Senior Software Engineer

Melbourne, FL · On-site

$113K - $149K/yr

They are seeking a highly experienced Senior Software Engineer to lead the design, development, and ... or machine learning libraries. • Demonstrated experience in developing software solutions ...

Senior Cloud Engineer

Satellite Beach, FL

$51.50 - $69/hr

540 is seeking a Senior Cloud Engineer to support our partnership with Google and the Department of ... This platform leverages Machine Learning, modern cloud and containerized technologies to ingest ...

MANUFACTURING ENGINEER

Palm Bay, FL · On-site

$62K - $80K/yr

Foster a culture of continuous learning and skill development within the machining team, promoting ... Bachelor's degree in mechanical engineering, Manufacturing Engineering, or a related field; or ...

MANUFACTURING ENGINEER

Palm Bay, FL · On-site

$70 - $100/hr

Foster a culture of continuous learning and skill development within the machining team, promoting ... Bachelor's degree in mechanical engineering, Manufacturing Engineering, or a related field; or ...

New

Showing results 41-60

Machine Learning Engineer Intern information

See Palm Bay, FL salary details

$21.8K

$36.4K

$75.2K

How much do machine learning engineer intern jobs pay per year?

As of Aug 19, 2026, the average yearly pay for machine learning engineer intern in Palm Bay, FL is $36,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,800.00 and $39,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What job categories do people searching Machine Learning Engineer Intern jobs in Palm Bay, FL look for?

The top searched job categories for Machine Learning Engineer Intern jobs in Palm Bay, FL are:

What cities near Palm Bay, FL are hiring for Machine Learning Engineer Intern jobs?

Cities near Palm Bay, FL with the most Machine Learning Engineer Intern job openings:

Software Engineer

kgs

Cape Canaveral, FL

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


Job description

Koniag IT Systems, LLC, a Koniag Government Services company, is seeking a Software Engineer with a Secret security clearance or the ability to obtain one, to support KITS and our government customer at Stennis Space Center, MS.

We offer competitive compensation and an extraordinary benefits package including health, dental and vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three weeks paid time off, and more.

The ideal candidate will be part of a dynamic team developing and maintaining mission-critical applications with a focus on geospatial technologies. This position offers opportunities to work with cutting-edge technologies while solving complex engineering challenges in support of our government clients.

The Software Engineer will be responsible for designing, implementing, and maintaining complex software systems, with a particular emphasis on geospatial applications.

 

Key responsibilities include:

  • Design and develop robust, scalable software solutions
  • Write high-quality, well-tested code following best practices
  • Integrate GIS components and spatial data into applications
  • Participate in the full software development lifecycle
  • Conduct code reviews and provide technical guidance
  • Debug and optimize application performance
  • Create and maintain technical documentation
  • Collaborate with cross-functional teams
  • Implement automated testing strategies
  • Support deployment and maintenance of applications
  • Participate in Agile development processes

Education and Experience:

  • Bachelor's degree in Computer Science, Software Engineering, or related field
  • 5+ years of software engineering experience
  • Strong background in object-oriented programming
  • Experience with GIS software development
  • Track record of successful software project delivery

Required Skills and Competencies:

Strong proficiency in:

  • Java, Python, C++, or similar programming languages
  • Object-oriented design patterns
  • Software architecture principles
  • Version control systems (Git)
  • Database design and SQL
  • RESTful API design and implementation
  • Demonstrated experience with:
  • Geographic Information Systems (GIS), specifically:
  • Commercial Joint Mapping Toolkit (CJMTK)
  • ESRI ArcGIS suite of commercial software developer components
  • ArcGIS Runtime
  • ArcGIS Engine
  • ArcGIS extensions including:
  • 3-D Analyst
  • Geostatistical Analyst
  • Network Analyst
  • Spatial Analyst
  • Tracking Analyst
  • ArcGIS Server
  • Proficiency in:
  • Software testing methodologies
  • CI/CD practices
  • Application security principles
  • Web technologies (HTML, CSS, JavaScript)
  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork abilities
  • Experience with Agile development methodologies
  • Must be able to work on-site at Stennis Space Center, MS

Desired Skills and Competencies:

  • Cloud platforms (AWS, Azure, GCP)
  • Microservices architecture
  • Container technologies (Docker, Kubernetes)
  • DevOps practices and tools
  • Test-driven development
  • Spatial databases and queries
  • Remote sensing data processing
  • Real-time data processing systems
  • Map projection systems
  • Coordinate reference systems
  • Geospatial data formats and standards

Knowledge of:

  • Machine learning/AI concepts
  • Performance optimization techniques
  • Enterprise architecture patterns
  • Federal software development standards
  • Federal government contract experience
  • Security clearance or ability to obtain one
  • Relevant technical certifications

Clearance Required:

  • Secret security clearance or the ability to obtain one

Our Equal Employment Opportunity Policy

The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment.

The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations.

Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com.

Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352