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Deep Learning Jobs in Miami, FL (NOW HIRING)

Opendoor

Applied Scientist AI/ML

Miami, FL · On-site

$156.80 - $355/hr

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 ...

Cisco

Applied AI Scientist

Miami, FL · On-site

Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE), spatio-temporal GNNs, heterogeneous graphs (HGNN/Relational GNNs), and knowledge-graph-augmented ...

Opendoor

Applied Scientist AI/ML

Miami, FL · On-site

$156K - $355K/yr

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 ...

Compass

Lead Data Scientist

Aventura, FL · On-site

$175K - $195K/yr

In this role, you will leverage your deep expertise in machine learning, statistical modeling, and data analysis to solve our most complex problems. You will set the standard for data science ...

Prescient Edge

Senior Data Scientist

Doral, FL · On-site

Personnel must be proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering. * Experience with data provenance tracking, model ...

Crowe LLP

Machine Learning Intern

Fort Lauderdale, FL · On-site

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

Crowe LLP

Machine Learning Intern

Miami, FL · On-site

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in manufacturing Personal identifiable information (PII) and personal health information (PHI) detection in ...

Qfanalytics

Database Administrator

Miami, FL · On-site

$100 - $130/hr

Experience with deep learning frameworks like TensorFlow or PyTorch * Familiarity with C# and .NET framework * Familiarity with Azure Environments; specifically Azure Data Functions * Familiarity ...

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All JobsDeep Learning JobsDeep Learning Jobs in Miami, FL

Deep Learning information

See Miami, FL salary details

$9.6K

$73.5K

$122.6K

How much do deep learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for deep learning in Miami, FL is $73,482.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $121,800.00 per year, depending on experience, location, and employer.

What is a deep learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What are the typical daily responsibilities of a deep learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What are the key skills and qualifications needed to thrive in a deep learning position?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What jobs use deep learning?

Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming languages like Python, experience with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures. They are common in industries like technology, healthcare, automotive, and finance, often involving tasks like image recognition, natural language processing, and predictive modeling.

What are the most commonly searched types of Deep Learning jobs in Miami, FL?

The most popular types of Deep Learning jobs in Miami, FL are:

What are popular job titles related to Deep Learning jobs in Miami, FL?

For Deep Learning jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Deep Learning jobs in Miami, FL look for?

The top searched job categories for Deep Learning jobs in Miami, FL are:

What cities near Miami, FL are hiring for Deep Learning jobs?

Cities near Miami, FL with the most Deep Learning job openings:

Deep Learning jobs near you
Infographic showing various Deep Learning job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $80,232 per year, or $38.6 per hour.

Applied Scientist AI/ML

Opendoor

Miami, FL • On-site

$156.80 - $355/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 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 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 valuation systems — ensuring we provide the most accurate and transparent pricing possible — the scope goes well beyond pricing. You’ll work across a range of challenging ML problems, from multi‑modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers.

What You'll Need
  • 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
Nice to Have
  • 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
What You'll Do
  • 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.
Compensation

The base pay range for this positionis $156,800-$355,000 annually, plus RSUs. Paywithin this range varies by work locationand may also depend on your qualifications, job‑related knowledge, skills,and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

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