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Machine Learning Robotics Jobs in Florida (NOW HIRING)

Serve Robotics

Robotics Service Technician

Miami, FL · On-site

$21 - $24/hr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile ...

Serve Robotics

Robotics Service Technician

Miami, FL · On-site

We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile ...

AEVEX

Robotics Engineering Co-op

Tampa, FL · On-site

... robotics, autonomous navigation, and sensor fusion. You will contribute to real-world projects ... design, machine learning, and embedded systems to enhance autonomy in challenging conditions.

Nokturnal AI

Be Seen First

Software Engineer - Robotics & Autonomy

Clearwater, FL · On-site

$150K - $217K/yr

Software Engineer - Robotics & Autonomy Clearwater, Fl ONSITE ONLY We are seeking a Software ... Familiarity with computer vision and machine learning tools such as OpenCV, PyTorch, or TensorFlow

New

AEVEX

Robotics Engineering Co-op

Tampa, FL · On-site

... robotics, autonomous navigation, and sensor fusion. You will contribute to real-world projects ... design, machine learning, and embedded systems to enhance autonomy in challenging conditions.

AEVEX

Robotics Engineering Co-op

Tampa, FL

... robotics, autonomous navigation, and sensor fusion. You will contribute to real-world projects ... design, machine learning, and embedded systems to enhance autonomy in challenging conditions.

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Showing results 1-20

All JobsMachine Learning Robotics JobsMachine Learning Robotics Jobs in Florida

Machine Learning Robotics information

See Florida salary details

$19.1K

$31.8K

$65.8K

How much do machine learning robotics jobs pay per year?

As of Jul 9, 2026, the average yearly pay for machine learning robotics 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 are the key skills and qualifications needed to thrive in the Machine Learning Robotics position, and why are they important?

To excel in Machine Learning Robotics, a strong background in computer science, robotics, and machine learning algorithms, often supported by a relevant degree (such as in engineering or computer science), is essential. Familiarity with programming languages like Python or C++, frameworks such as TensorFlow or ROS (Robot Operating System), and experience with simulation tools are highly valuable, and certifications in AI or robotics can further enhance employability. Strong problem-solving skills, effective communication, and the ability to work collaboratively in cross-disciplinary teams help professionals stand out. These capabilities are crucial for designing, developing, and refining intelligent robotic systems that perform reliably in real-world environments.

What are some common challenges faced by professionals working in Machine Learning Robotics?

Professionals in Machine Learning Robotics often encounter challenges like integrating machine learning models with robotic hardware, ensuring reliable performance in unpredictable real-world settings, and managing computational limitations on embedded systems. Addressing these challenges usually requires creative problem-solving and close collaboration with hardware engineers, software developers, and data scientists. You may also need to continuously refine models and testing processes based on real-time feedback and evolving project goals. This dynamic environment makes the work both demanding and highly rewarding for those eager to push the boundaries of automation and intelligent systems.

What is a Machine Learning Robotics job?

A Machine Learning Robotics job involves developing algorithms that enable robots to learn from data and improve their performance over time. Professionals in this field work on applications such as autonomous navigation, robotic perception, and human-robot interaction. They use techniques like deep learning, reinforcement learning, and computer vision to enhance a robot's ability to understand and interact with its environment. This role typically requires expertise in machine learning, robotics, and software development, along with strong problem-solving skills.

What are the most commonly searched types of Machine Learning Robotics jobs in Florida? The most popular types of Machine Learning Robotics jobs in Florida are:
What are popular job titles related to Machine Learning Robotics jobs in Florida? For Machine Learning Robotics jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Machine Learning Robotics jobs in Florida look for? The top searched job categories for Machine Learning Robotics jobs in Florida are:
Machine Learning Robotics jobs near you
Infographic showing various Machine Learning Robotics job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 2% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $31,822 per year, or $15.3 per hour.

Deep Learning Robot Manipulation Engineer

Persona AI

Pensacola, FL • On-site

Full-time

Re-posted 22 days ago

Job description

We're looking for a Deep Learning Manipulation Engineer to help train Persona AI robots to do real work in real world environments. We're looking for exceptional people who dream big, thrive on challenges, and love seeing their efforts come to life. We are primarily interested in candidates who have developed and released products to the market, but can be flexible depending on aptitude and energy.
As one of the inaugural Deep Learning Manipulation Engineers at Persona, you will have an incredible opportunity to get in at the beginning to shape the design and development of Persona's deep learning and manipulation strategy and infrastructure. 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 deep learning models and training procedures to achieve dexterous manipulation for humanoid robots with high DOF and multi-fingered hands.
  • Train models, using curriculum learning strategies, to progress from simple object interactions to precise grasping, long-horizon tasks, tool-use, and in-hand object manipulation.
  • Incorporate tactile sensing and proprioception into end-to-end learning pipelines, enabling robust closed-loop policies.
  • Work with the teleoperation and data team to design data collection and versioning strategies.
  • Leverage existing state-of-the-art manipulation models and contribute to the development of new architectures for emerging complex tasks.
  • Deploy trained manipulation models to robotic hardware, ensuring real-time performance, safety, and integration with control systems and sensors.
  • Collaboratively develop and optimize the manipulation ML pipeline.
  • Keep up to date with the state of the art in research and development.
  • Develop and execute evaluation pipelines to rigorously test learned manipulation models, including real-world trials and simulation, measuring performance, robustness, and generalization across tasks and environments.
  • Collaborate in attracting, nurturing and growing the machine learning and autonomy teams.

We're Looking For:
  • Courage and grit to tackle some of the hardest problems in robot manipulation.
  • Enthusiasm for working collaboratively in fast paced ambiguous environments.
  • Masters or PhD in Robotics, Computer Science, or a related field.
  • 3+ years of experience in applying deep learning to robotic manipulation.
  • Strong understanding and proficiency with state of the art algorithms and best-practices in behavior cloning, vision-language-action models, diffusion policies, foundation models, etc.
  • Experience with cloud computing and large-scale datasets.
  • Understanding of the challenges of deploying neural network models in the real world.
  • Capable of writing high quality software.
  • Strong first principles thinker.

Preferred or Bonus Qualifications:
  • Experience with other aspects of ML applied to robotics, including computer vision algorithms, sensors, point clouds, segmentation and object detection.
  • Published papers at top ML/Robotics conferences (ICML, ICRA, CoRL, RSS, NeurIPS).
  • Have deployed robots, collected large amounts of data, and trained large neural networks that work in production environments.

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