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Machine Learning Engineer Intern Jobs in Florida

As a software engineer on the team, you'll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient ...

Sr Machine Learning Engineer

Jacksonville, FL ยท On-site +1

$113K - $149K/yr

Senior Machine Learning Engineer What you will do Let's do this. Let's change the world. In this vital role you will play a pivotal role in building and scaling our machine learning models from ...

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Machine Learning Engineer Intern information

See Florida salary details

$19.1K

$31.8K

$65.8K

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

As of Jul 9, 2026, the average yearly pay for machine learning engineer intern in Florida is $31,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $24,300.00 and $34,400.00 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 the most commonly searched types of Machine Learning Engineer jobs in Florida? The most popular types of Machine Learning Engineer jobs in Florida are:
What job categories do people searching Machine Learning Engineer Intern jobs in Florida look for? The top searched job categories for Machine Learning Engineer Intern jobs in Florida are:
What cities in Florida are hiring for Machine Learning Engineer Intern jobs? Cities in Florida with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer- Services

Machine Learning Engineer- Services

Opendoor

Miami, FL โ€ข On-site

Full-time

Posted 6 days ago


Job description

About Opendoor
At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.
About the Team
The Pricing team is the engine behind Opendoor's ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business.
We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient-because small improvements can translate into major business impact.
As a software engineer on the team, you'll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You'll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.
What You'll Do
  • Own the design, implementation, and evolution of core pricing services
  • Design data models and write high-performance SQL over large PostgreSQL datasets
  • Architect and improve APIs and integrations with Opendoor's core marketplace platform
  • Lead technical design reviews and set best practices for code quality, testing, and observability
  • Partner with data science to productionize pricing models and build robust model-serving pipelines
  • Drive reliability, latency, and scalability improvements across pricing systems
  • Mentor other engineers and help grow the technical capabilities of the team
  • Collaborate with product and cross-functional partners to define and deliver roadmap projects end to end

What You'll Need
  • 5+ years of professional backend software engineering experience
  • Significant experience building and operating production systems in Go or Python
  • Deep proficiency with SQL and relational databases (PostgreSQL preferred)
  • Strong track record designing, building, and evolving APIs in a microservices environment
  • Experience with distributed systems concepts (scalability, consistency, resiliency, monitoring)
  • Experience leading technical projects from design through rollout and support
  • Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders

Nice to Have
  • Experience with Kafka or similar event-streaming technologies
  • Experience using AI-assisted development tools (e.g. Claude Code, Cursor AI, Github Copilot)
  • Experience with BPMN or other workflow engines and long-running business processes
  • Experience with Redis or other caching / storage optimization technologies
  • Experience with gRPC and service-to-service communication patterns at scale
  • Prior experience in pricing, marketplaces, or other data-intensive domains

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