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Machine Learning Object Detection Jobs in Florida

Machine Learning Engineer

Orlando, FL · On-site

$120 - $160/hr

Seeking a Machine Learning Engineer for the following role - Generative AI & ML Frameworks: PyTorch ... Develop specialized ML pipelines for hallucination detection, bias measurement, and factual ...

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Machine Learning Tutor

Tampa, FL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Machine Learning Tutor

Doral, FL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Machine Learning Tutor

Orlando, FL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Machine Learning Tutor

Miramar, FL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Machine Learning Tutor

Sunrise, FL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Machine Learning Tutor

Hialeah, FL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Machine Learning Tutor

Miami, FL · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

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

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

Showing results 21-40

Machine Learning Object Detection information

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What are the key skills and qualifications needed to thrive as a machine learning object detection engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are popular job titles related to Machine Learning Object Detection jobs in Florida?

For Machine Learning Object Detection jobs in Florida, the most frequently searched job titles are:

What cities in Florida are hiring for Machine Learning Object Detection jobs?

Cities in Florida with the most Machine Learning Object Detection job openings:

Infographic showing various Machine Learning Object Detection job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Robotics Software Engineer, Manipulation

Persona AI

Pensacola, FL • On-site

Full-time

Re-posted 27 days ago


Key responsibilities

  • Design and implement advanced manipulation algorithms for humanoid robots with high DOF and multi-fingered hands.

  • Develop and optimize the manipulation pipeline, including perception, grasping, trajectory optimization, motion planning, and control.

  • Conduct rigorous testing of manipulation algorithms in both simulated and real-world environments.


Job description

We're looking for exceptional people who dream big, thrive on challenges, and love seeing their designs come to life. We are primarily interested in candidates who have shipped products in the fields of autonomy, robotics, consumer products, medical devices, automotive, or aerospace. We also value advanced degrees and deep expertise.
As an inaugural engineer at Persona, you will have an incredible opportunity to shape the design of Persona's humanoid robots, while also helping set the culture of the company. If you're passionate about cutting-edge technology and want to be part of a world-class team we'd love to hear from you.
Your Role:
  • Design and implement advanced, dexterous manipulation algorithms for humanoid robots with high DOF and multi-fingered hands.
  • Develop and optimize the manipulation pipeline, encompassing perception, grasping, trajectory optimization, motion planning, and control. Tackle complex tasks such as precise grasping, dual-arm manipulation, and in-hand object manipulation.
  • Implement robust control strategies for precise and dexterous manipulation, including force/motion control and visual/tactile servoing.
  • Integrate the manipulation pipeline with the humanoid robot's whole-body controller and contribute to loco-manipulation development.
  • Develop digital-twins of the manipulation scenes for algorithm development. Utilize simulators such as MuJoCo and Isaac Sim.
  • Conduct rigorous testing in both simulated and real-world environments.
  • Work closely with the machine learning team to help train and deploy models for advanced manipulation tasks.
  • Stay informed about the latest research and advancements in manipulation, leveraging both traditional methods and deep learning-based approaches.

We're Looking For:
  • BS, MS, or PhD in Robotics, Computer Science, or a related field.
  • 7+ years of experience (5+ with advanced degree) in robotics with a strong emphasis on control and manipulation of robotics/humanoid arms.
  • Strong background in motion planning, control theory, and optimization.
  • Demonstrated expertise in implementing advanced manipulation algorithms for tasks such as pick-and-place, bin picking, door opening, etc.
  • Proficiency in C++, Python, and relevant robotics libraries (e.g., MoveIt!, Drake, OpenRAVE).
  • Experience with trajectory optimization libraries (e.g., IPOPT, SNOPT, qpOASES).
  • Proficiency with modern deep learning techniques for manipulation.
  • Experience with computer vision algorithms, sensors, point clouds, segmentation and object detection.
  • Familiar with ROS, LCM, or other middleware for robotic systems.

Preferred or Bonus Qualifications:
  • Experience in developing algorithms for contact modeling and force/torque estimation with a focus on tactile sensing and feedback for dexterous tasks.
  • Experience with machine learning for dexterous manipulation, including learning-based grasp strategies, behavior cloning and reinforcement learning.
  • Publications in top-tier robotics conferences focusing on dexterous manipulation.
  • Experience in a humanoid robot startup environment.