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Internship Applied Scientist Machine Learning Jobs in Hialeah, FL

Opendoor

Applied Scientist AI/ML

Miami, FL · On-site

They are seeking an Applied Scientist to advance their machine learning and AI capabilities, focusing on improving valuation systems and tackling various ML challenges. Responsibilities : • Design ...

OpenDoor

Applied Scientist- Pricing

Miami, FL · On-site

$200 - $250/hr

About the Role We're looking for an Applied Scientist to work on some of the hardest quantitative ... Experience with machine learning methods broadly, including where deep learning can complement ...

Crowe LLP

Machine Learning Intern

Fort Lauderdale, FL

$27 - $42/hr

... applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in natural language Areas of Focus The data science internship is intended ...

Opendoor

Applied Scientist AI/ML

Miami, FL · On-site

$250/hr

About the Role We're looking for an Applied Scientist (ALL LEVELS) to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our ...

Crowe LLP

Machine Learning Intern

Miami, FL

$27 - $42/hr

... applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in natural language Areas of Focus The data science internship is intended ...

Opendoor

Applied Scientist- Pricing

Miami, FL · On-site

$156K - $335K/yr

About the Role We're looking for an Applied Scientist to work on some of the hardest quantitative ... Experience with machine learning methods broadly, including where deep learning can complement ...

Opendoor

Applied Scientist AI/ML

Miami, FL · On-site

$156K - $355K/yr

About the Role We're looking for an Applied Scientist ( ALL LEVELS ) to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our ...

Qfanalytics

Machine Learning Engineer

Miami, FL · On-site

$100 - $125/hr

Knowledge of applied mathematics, including convex optimization, quadratic programming, and partial ... in Machine Learning; Experience with deep learning frameworks like TensorFlow or PyTorch;

AAA Global

Machine Learning Researcher

Miami, FL · On-site

AI Scientist | West Palm Beach, FL About Our Client Our client develops and deploys systematic ... Conduct research in Machine Learning to improve multiple aspects of the investment pipeline

Northern Base

Machine Learning Engineer

Sunrise, FL · On-site

$90K - $110K/yr

Role - Machine Learning Engineer Experience Required -8+ Years We are seeking a Machine Learning ... Experience deploying ML/GenAI systems in production environments. * data scientist * Can do ML ...

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All JobsApplied Scientist Machine Learning JobsInternship Applied Scientist Machine Learning JobsInternship Applied Scientist Machine Learning Jobs in Hialeah, FL

Internship Applied Scientist Machine Learning information

See Hialeah, FL salary details

$23.1K

$38.6K

$79.7K

How much do internship applied scientist machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for internship applied scientist machine learning in Hialeah, FL is $38,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,400.00 and $41,700.00 per year, depending on experience, location, and employer.

What does an internship applied scientist in machine learning do?

An Internship Applied Scientist in Machine Learning works on real-world projects involving the design, development, and evaluation of machine learning models and algorithms. Their responsibilities typically include data analysis, building predictive models, experimenting with new techniques, and collaborating with engineers and researchers to solve complex problems. Interns gain hands-on experience with tools like Python, TensorFlow, or PyTorch, and contribute to advancing the company's AI capabilities. The role requires a strong foundation in mathematics, statistics, and computer science, as well as the ability to communicate findings to both technical and non-technical stakeholders.

What types of projects do internship applied scientists in machine learning typically work on, and how do they contribute to the team's goals?

Internship Applied Scientists in Machine Learning often collaborate with multidisciplinary teams to tackle real-world problems using data-driven approaches. Typical projects might include developing and fine-tuning machine learning models, conducting experiments to validate hypotheses, or assisting in the deployment of algorithms into production systems. Interns are expected to contribute fresh perspectives, help with data preprocessing, and perform thorough model evaluations. Through these projects, interns gain hands-on experience while directly supporting the team's research and product development objectives.

What are the key skills and qualifications needed to thrive as an internship applied scientist in machine learning, and why are they important?

To thrive as an Internship Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, often supported by coursework or research experience in machine learning and data analysis. Familiarity with tools such as Python, TensorFlow, PyTorch, and experience working with large datasets are highly valued, along with knowledge of version control systems like Git. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly set top candidates apart. These competencies are crucial for effectively designing, implementing, and presenting machine learning solutions that address real-world challenges.

What is the difference between Internship Applied Scientist Machine Learning vs Internship Data Scientist?

AspectInternship Applied Scientist Machine LearningInternship Data Scientist
Required CredentialsRelevant degrees in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegrees in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentResearch and development teams, focus on ML model developmentBusiness teams, focus on data analysis and insights
Employer & Industry UsageTech companies, AI-focused organizationsVarious industries including tech, finance, healthcare
Comparison Search IntentUnderstanding roles in ML research and developmentUnderstanding data analysis and business insights roles

Internship Applied Scientist Machine Learning roles focus on developing and applying machine learning models, often in research settings. In contrast, Internship Data Scientist positions emphasize analyzing data to generate insights for business decisions. Both roles require strong analytical skills and relevant educational backgrounds, but they differ in their primary focus and work environment.

What are popular job titles related to Internship Applied Scientist Machine Learning jobs in Hialeah, FL?

For Internship Applied Scientist Machine Learning jobs in Hialeah, FL, the most frequently searched job titles are:

What cities near Hialeah, FL are hiring for Internship Applied Scientist Machine Learning jobs?

Cities near Hialeah, FL with the most Internship Applied Scientist Machine Learning job openings:

Internship Applied Scientist Machine Learning jobs near you

Applied Scientist AI/ML

Opendoor

Miami, FL • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Opendoor is on a mission to empower homeowners and facilitate homeownership. They are seeking an Applied Scientist to advance their machine learning and AI capabilities, focusing on improving valuation systems and tackling various ML challenges.
Responsibilities:
• Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models
• Build interpretable ML models that can help us explain pricing decisions to customers
• Incorporate unstructured data — like images, videos, or text — into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.)
• Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems
• Improve the feature engineering and model training pipelines that power our production systems
• Rethink our risk and optimization models using real-world data and domain insight
• We’re a small, nimble team — there’s ample opportunity to work across the entire research and modeling stack.
Qualifications:
Required:
• Strong software engineering and coding skills in Python, with experience contributing to production codebases
• Experience developing and deploying ML models end-to-end — from research and prototyping to implementation in production systems
• Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar
• Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field
• Solid foundation in statistics and experimental design
• Strong communication and collaboration skills — you’re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly
Preferred:
• Familiarity with Pyspark and distributed data processing
• Background in search, recommendation systems, or personalization
• Experience working with large language models (LLMs) or vision-language models (VLMs)
• A genuine interest in real estate — no prior experience required, but you'll engage deeply with housing data
Company:
Founded in 2014, Opendoor’s mission is to power life’s progress one move at a time. Founded in 2014, the company is headquartered in Tempe, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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