ZipRecruiter

Log In

1

Machine Learning Intern Jobs in Englewood, FL (NOW HIRING)

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Englewood, FL

Machine Learning Intern information

See Englewood, FL salary details

$22.7K

$37.8K

$78.2K

How much do machine learning intern jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning intern in Englewood, FL is $37,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,900.00 and $40,900.00 per year, depending on experience, location, and employer.

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 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 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 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 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.

More about Machine Learning Intern jobs

What cities near Englewood, FL are hiring for Machine Learning Intern jobs?

Cities near Englewood, FL with the most Machine Learning Intern job openings:

Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Englewood, FL as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $37,832 per year, or $18.2 per hour.

Software Engineer Intern | Spring | Autonomous Intelligent Sensing for Space Applications

Sarasota, FL

MRSL Real-Time Systems Laboratory Inc
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about MRSL Real-Time Systems Laboratory Incexternal

Full-time, Internship

Posted 5 days ago

Job description

Mission and Opportunity

MRSL is a world-class developer of advanced signal processing, intelligent sensing, and autonomous systems for the U.S. Government. We build software and algorithms that help complex systems perceive, understand, and respond intelligently to their environment. Our technologies are deployed across a broad range of intelligence and defense applications—including this project focusing on the emerging domain of autonomous space systems—where reliable, mission-critical autonomy can make the difference between success and failure.

  • You'll work hand-in-hand with our senior engineers from day one—no toy problems, no throwaway side project. You'll take ownership of meaningful technical work on a real, space-bound system and help drive it through its next critical stages.
  • The system is being prepared for an upcoming launch and currently runs in a live virtual environment—exercised on target hardware and mission emulation as if operating on orbit. The next phase continues that work through algorithm and model development, testing, performance assessment, and iterative improvement ahead of flight.

What You Will Do

You'll help mature the autonomy software in a live, mission-realistic virtual environment as we prepare it for flight:

  • Collaborate with experienced engineers on system design and production-quality software development.
  • Extend intelligent sensing, autonomy, and decision-making capabilities using modern software and AI techniques.
  • Tune, evaluate, and optimize machine learning and reinforcement learning models.
  • Perform model validation, system verification, and end-to-end mission testing on target GPU hardware.
  • Support pre-launch integration, readiness, and validation of autonomous sensing software.
  • Design, test, and validate remote system updates, monitoring, metrics, and dashboards.
  • Analyze sponsor feedback, anomalies, and system issues to identify root causes and develop resolutions.
  • Document findings, communicate results, and translate lessons learned into improved operational capability.

Who We Are Looking For

We are looking for an engineering intern who is driven and excited by difficult technical problems. The strongest candidates will be comfortable learning quickly, working independently when needed, and contributing as part of a multidisciplinary engineering team.

  • Working toward or already holding a B.S. or graduate degree in Electrical Engineering, Computer Engineering, Computer Science, Aerospace Engineering, Physics, Imaging Science, or a related engineering or science discipline.
  • Strong experience with programming in some combination of Python, C/C++, Java, scripting, and Linux.
  • Ability to reason through algorithmic and system-level problems and implement practical solutions in code.
  • Strong communication skills, attention to detail, and a willingness to take ownership of assigned work.

Bonus Experience

  • ML, RL, agentic AI, PyTorch, TensorFlow, Keras, scikit-learn, or Edge ML
  • Autonomous or real-time sensing systems, embedded processing, or sensor fusion
  • Signal or image processing, detection and estimation, classification, or spectral analysis
  • ROS 2, robotics middleware, or distributed systems
  • Docker, Git workflows, CI/CD, automated testing, and software validation
  • Space systems, flight software, or operations involving embedded or real-time constraints

Why This Internship Is Different

  • Real mentorship — you work shoulder-to-shoulder with senior engineers, not parked on an isolated side project.
  • A path to a career — most of our entry-level engineers are hired out of this internship program, and interns who excel and are a good fit are often given a full-time offer.
  • Real-world mission — experience development, validation, and launch preparation in a single term, on a system headed for flight.

Eligibility and Internship Details

This is a paid, full-time internship (40 hours per week, on-site) available during the Spring term at MRSL's Sarasota, Florida office. Housing allowance is provided.

Intern candidates must be U.S. citizens and able to meet TS/SCI clearance eligibility requirements.

We have a strong preference for intern candidates who will still be in school for two semesters after the internship ends, whether finishing an undergraduate degree, or starting or continuing graduate work. This allows us to extend offers to selected candidates at the end of the internship so that their clearance is done by the time they graduate.

**Will begin reviewing candidates Mid-October.