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Deep Learning Developer Jobs in Fort Lauderdale, FL

Machine Learning Tutor

Cooper City, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Miramar, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Sunrise, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Miami, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Miami Beach, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Machine Learning Tutor

Hialeah, FL ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

In this role, you will leverage your deep expertise in machine learning, statistical modeling, and ... You will partner with senior business stakeholders and engineering leaders to uncover insights ...

Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow. * Hands ... Work closely with ML engineers to translate models and insights into production systems. * Have ...

Experience with deep learning and being familiar with tools such as PyTorch or TensorFlow. * Hands ... Work closely with ML engineers to translate models and insights into production systems. * Have ...

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Deep Learning Developer information

See Fort Lauderdale, FL salary details

$17

$36

$48

How much do deep learning developer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for deep learning developer in Fort Lauderdale, FL is $36.75, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $40.91 per hour, depending on experience, location, and employer.

What is a deep learning developer?

Deep Learning Developers are specialized software engineers or data scientists who design, build, and implement artificial intelligence systems using deep learning techniques. They work with neural networks, large datasets, and various frameworks like TensorFlow or PyTorch to develop models for tasks such as image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, optimization, and deployment to solve complex problems that require advanced pattern recognition. Deep Learning Developers often collaborate with AI researchers, data engineers, and product teams to integrate intelligent features into applications.

What are the key skills and qualifications needed to thrive as a deep learning developer?

To thrive as a Deep Learning Developer, you need a strong background in computer science, mathematics, and proficiency in programming languages like Python, often supported by a degree in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms or GPU acceleration, are commonly required technical skills. Analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this role. These competencies are crucial for designing, training, and deploying advanced neural network models that address complex real-world problems.

What are some common challenges deep learning developers face when deploying models to production environments?

Deep Learning Developers often encounter challenges such as optimizing model performance for real-time inference, managing resource constraints (like GPU/CPU availability), and ensuring model reproducibility across different environments. Additionally, integrating deep learning models into existing software systems and maintaining them over time can be complex, especially as data and requirements evolve. Collaborating closely with DevOps, data engineers, and QA teams is essential to address these challenges and ensure smooth deployment and ongoing reliability.

What is the difference between Deep Learning Developer vs Machine Learning Engineer?

AspectDeep Learning DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with neural networksBachelor's or Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural networksData-driven companies, software firms, industries applying machine learning
Industry UsagePrimarily in AI research, neural network development, deep learning projectsBroader application including predictive modeling, data analysis, and ML systems

Deep Learning Developers specialize in neural networks and deep learning models, often working on AI research and complex algorithms. Machine Learning Engineers have a broader focus on developing, deploying, and maintaining machine learning models across various applications. While both roles require similar educational backgrounds, their focus areas and industry applications differ.

Infographic showing various Deep Learning Developer job openings in Fort Lauderdale, FL as of June 2026, with employment types broken down into 1% As Needed, 53% Full Time, 44% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $76,434 per year, or $36.7 per hour.

Machine Learning Engineer (3D Vision)

FitMatch

Fort Lauderdale, FL โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago


Job description

We are seeking a visionary, highly skilled, and impact-driven Computer Vision Engineer (3D-focused) to join our Data Science team. This is a role designed for a creative problem solver and technical thought leader-someone who looks at complex, high-dimensional data and translates it into real-world human outcomes.
In this role, you will own the mission of transforming raw 3D body scan data, measurement features, and body composition metrics into actionable insights. Your work will directly impact cutting-edge healthcare applications and optimize performance tracking for both adolescent and professional athletes in the sports/fitness space. If you want to move beyond passive model training and actively pioneer solutions to real-world physical challenges, this is your sandbox.
Note: This position is a contract-to-hire opportunity
Key Responsibilities (Driving Innovation)
  • Architect & Pioneer: Develop, train, and deploy advanced machine learning and deep learning models for complex spatial analysis of 3D human body scans. You will move fluidly from zero-to-one prototyping to production infrastructure.
  • Build from Truth: Work directly with ground truth 3D data to creatively build high-performance, robust predictive models that solve tangible physiological pain points.
  • Cross-Disciplinary Integration: Synthesize 3D spatial features with multi-modal metadata, including biometrics, demographic information, and self-reported health outcomes to reveal comprehensive health insights.
  • Unlocking Complex Data: Design and implement novel algorithms for feature extraction and dimensionality reduction from irregular mesh or point cloud data.
  • Scientific Rigor & Validation: Conduct comprehensive statistical validation and A/B testing of models and deployed features to ensure real-world efficacy and safety.
  • Collaborative Thought Leadership: Act as a technical partner alongside software engineers and domain experts (such as clinicians and biomechanical engineers) to scale and integrate solutions directly into production.
  • Data Storytelling: Generate clear, compelling visualizations and reports that effectively communicate nuanced, complex analytical results to both technical teams and non-technical stakeholders.

About You
  • The Problem-Solver Mindset: You are energized by tackling ambiguous, complex technical challenges and excel at manipulating data in all its forms-especially 3D and spatial data.
  • The Innovator's Foundation: You bring a bulletproof foundation in Python, machine learning, and scientific computing, paired with an insatiable curiosity, creativity, and a proactive, hands-on approach to building solutions.
  • Real-World Impact Focus: You don't just optimize metrics in a vacuum; you care deeply about how your models perform when applied to a real human body.

Qualifications
  • Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related quantitative field.
  • Experience: Minimum of 3+ years of professional experience as a Data Scientist or Machine Learning/Computer Vision Engineer, with a focus on high-dimensional or spatial data domains.
  • Execution: A proven track record of autonomous ownership-taking a model all the way from initial research/prototype to live production deployment.

Programming & Infrastructure
  • Python Mastery: Expert-level Python and full command of its scientific computing stack.
  • Data & Math Foundations: Deep proficiency with data manipulation libraries like Pandas and NumPy , alongside scientific computing tools like SciPy and Scikit-learn.
  • Infrastructure Autonomy: High proficiency in Linux/Unix-based terminal interfaces and cloud shell environments (AWS, GCP, or Azure CLI). You should be fully capable of managing compute resources, automating workflows, and troubleshooting cloud infrastructure directly from the command line.

Machine Learning & Vision
  • Deep Learning Frameworks: Production experience utilizing PyTorch and/or TensorFlow/Keras.
  • Statistical Rigor: A strong background in statistical modeling, predictive modeling, and experimental design.
  • 3D Geometry Processing: Direct experience handling computer vision tasks relevant to 3D geometry, such as registration, segmentation, and shape analysis.
  • Spatial Statistics: Strong familiarity with spatial statistics and specialized techniques for analyzing geometric features.

Preferred Skills (The Toolset of a Thought Leader)
  • Advanced Geometric Deep Learning: Knowledge of cutting-edge geometric deep learning techniques (e.g., PointNet, CNN, DGCNN, GCNs/Graph Neural Networks) for processing irregular 3D structures.
  • 3D Frameworks: Hands-on experience working with 3D point clouds and/or mesh data structures (e.g., PLY, OBJ, USDZ, STL formats).
  • Processing Libraries: Familiarity with modern libraries for geometric processing and visualization, such as Open3D, PCL (Point Cloud Library), or Trimesh.
  • Modern MLOps: Scaled deployment experience using Docker and Kubernetes.
  • Creative Prototyping: Experience with 3D modeling and asset creation in Blender for synthetic data generation or visualization.

Compensation, Perks & Benefits
  • Generous PTO policy + 12 paid US holidays
  • Medical, dental, and vision insurance for you and your family
  • Paid Parental Leave
  • 401k
About Us
Fit:Match is a B2B2C technology company on a mission to revolutionize the apparel industry through data science to deliver increased relevance and satisfaction for shoppers, improve retail economics, and help the industry as a whole make significant strides towards sustainable apparel retail. We are looking for people who share the same passion.
Fit: Match is backed by an investor group including experienced angel investors, institutional firms, and multi-billion dollar retailers. The best part of working at Fit:Match is, without a doubt, the people. We pride ourselves on hiring team members who embody our people characteristics of low ego, collaboration, dependability, and proven domain expertise. At Fit:Match, you would work cross-functionally with another top global talent with experience in the technology, data science, apparel design and fit, marketing, and retail industries. We obsess over growth, speed, and accuracy. We love a scrappy idea, an out-of-the-box growth hack, and live for reimagining and trying new things.
Department Engineering Locations Fort Lauderdale, New York, NY, San Francisco, CA, Seattle, WA Remote status Fully Remote