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Machine Learning Engineer Intern Jobs in Palm Bay, FL

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Mechatronic Intern

Sebastian, FL · On-site

$12.50 - $16.75/hr

As a Mechatronic Intern, you'll work closely with our experienced Mechatronic and Design ... engineering experience on a cutting-edge, data-driven machine that's changing the future of ...

Mechatronic Intern

Sebastian, FL · On-site

$12.50 - $16.75/hr

As a Mechatronic Intern, you'll work closely with our experienced Mechatronic and Design ... engineering experience on a cutting-edge, data-driven machine that's changing the future of ...

Mechatronic Intern

Sebastian, FL

$12.50 - $16.75/hr

As a Mechatronic Intern, you'll work closely with our experienced Mechatronic and Design ... engineering experience on a cutting-edge, data-driven machine that's changing the future of ...

Through our agency's learning management system, you have access to hundreds of computer-based ... The Construction Support Office is staffed by engineers dedicated to providing practical assistance ...

This platform leverages Machine Learning, modern cloud and containerized technologies to ingest ... Engineers on this team build and scale full-stack features across user interfaces, backend services ...

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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 Jul 29, 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 types of projects and tasks do Machine Learning Engineer Interns typically work on?

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 is a Machine Learning Engineer Intern job?

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 are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

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 are popular job titles related to Machine Learning Engineer Intern jobs in Palm Bay, FL? For Machine Learning Engineer Intern jobs in Palm Bay, FL, the most frequently searched job titles are:
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:

Machine Learning Engineer

ENSCO, Inc.

Melbourne, FL

Other

Re-posted 7 days ago


Job description

ENSCO, Inc. is seeking a Machine Learning Engineer with direct experience and applications with using Machine Learning (ML) and Deep Learning (DL) models, frameworks, architectures, pipelines, and advanced data analytics, to address difficult problem sets.  Work closely with other senior scientist to understand problem sets, physical data feature sets and parameters.  The successful candidate must have demonstrated understanding of signal processing, data fusion, feature extraction, and be able to apply it towards ML and DL solutions.  Assess algorithm performance of features by building datasets and designing and executing well-controlled experiments.
ENSCO's Mission Systems Group (MSG) provides innovative customized products and services vital to national safety and security.  A primary focus area is the development of advanced algorithm development and integration for multipurpose data sets.
 

Qualifications Required:
        Bachelors degree in Machine Learning, Data Science, Mathematics, or equivalent in a related discipline.  Direct relevant military experience will also be considered.
        Minimum of 3 years related industry experience in machine learning, data science, and analytics.
        Proven track record of successful data science and algorithm implementation.
        Provide mentorship to junior ML engineers.
        A self-starter with excellent oral and written communication skills.
        Experience navigating and programming within the Linux environment.
        Experience working with structured and unstructured databases.
        Advanced proficiency with data science languages (e.g. Python, Matlab,)
        Demonstrated experience with Deep Learning frameworks (e.g. PyTorch, TensorFlow/Keras, scikit-learn, MXNet).
        Experience working with large data sets and ability to extract relevant information from data sets.
         The ability to obtain and maintain a US security clearance is required for this position, for which you must be a U.S. Citizen

Qualifications Desired:
        Masters or PhD degree in Machine Learning, Data Science, or Mathematics, or equivalent.
        Experience with ML/DL algorithms extracting signal from noise.
        Past experience being able to develop solutions using disparate data sets through ML techniques.
        DevOps experience involving CI/CD pipelines to build and deploy.
        Experience working with container orchestration technologies (e.g. Docker/Kubernetes).
        An Active TS/SCI clearance.
 

Work Location Type: Hybrid
Required Certifications: None
U.S. Citizenship Required: Yes
Security Clearance Required: Ability to obtain
Employment Type: Regular Full-time
Background Check Type:  7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes