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Machine Learning Robotics Jobs in Florida (NOW HIRING)

Serve Robotics

Operations Coordinator

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 ...

Serve Robotics

Operations Coordinator

Miami, FL · On-site

$23 - $25/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 ...

Valley Bank

AI Engineer

Saint Petersburg, FL · On-site

Familiarity with Machine Learning concepts, model integration, or ML platforms. * Experience ... Familiarity with RPA technology and AI Technology. Preferred Experience: * Bachelor of Science in ...

Clarity Innovations

Data Scientist

Hurlburt Field, FL · On-site

... machine learning. Data scientists must have a combination of skills that includes programming ... Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process ...

University of Miami

Post Doctoral Associate

Coral Gables, FL · On-site

$46K - $63K/yr

Mentor and help recruit and train graduate students and undergraduate researchers in robotics, mechatronics, and machine learning. * Design and conduct experimental studies involving robotic ...

University of Miami

Post Doctoral Associate

Coral Gables, FL · On-site

$46K - $63K/yr

Mentor and help recruit and train graduate students and undergraduate researchers in robotics, mechatronics, and machine learning. * Design and conduct experimental studies involving robotic ...

JLL

Mechatronics & Robotics Apprenticeship

Miami, FL · On-site

... learning program. Trains in andadheresto all health and safety policies and procedures. Work ... Working in cramped positions under/behind machinery * Working at heights * Pushing/pulling wheeled ...

Pwc

AIT - AI Data Scientist Manager

Tampa, FL · On-site

$99K - $297K/yr

... machine learning and deep learning techniques to drive innovation and improve data-driven ... Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration ...

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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.
Operations Coordinator

Operations Coordinator

Serve Robotics

Miami, FL • On-site

Full-time

Re-posted 8 days ago

Job description

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It's designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.
The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We're looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity.
Who We Are
We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. 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, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully.
JOB OVERVIEW
As an Operations Coordinator at Serve Robotics, you will play a key role in ensuring smooth daily operations across our commercial delivery network. Your main objective will be to execute against established strategies, manage the flow of day-to-day activities, and identify opportunities to streamline and strengthen operational processes. You will support the team by ensuring procedures are followed consistently, operational goals are met, and metrics are tracked with accuracy.
In this role, you will focus on operational execution first, while also proposing and implementing incremental improvements that drive efficiency, reliability, and scalability. You will collaborate closely with supervisors and leadership to align your work with the broader operational strategy, ensuring that our delivery network runs seamlessly and consistently delivers on performance targets.
JOB DUTIES
  • Oversee and execute daily deployments by coordinating between Field Agents and Piloting teams to ensure on-time robot operations.
  • Monitor live operations and resolve issues in real time, escalating problems as needed to minimize service disruptions.
  • Ensure compliance with standard operating procedures (SOPs) by reinforcing adherence to established workflows, safety protocols, and quality measures.
  • Open or close depots in accordance with scheduled shift.
  • Track and report key operational metrics (deployment efficiency, service uptime, utilization, etc.) to measure efficiency and highlight areas for improvement.
  • Implement new processes and protocols as directed, ensuring successful rollout, team adoption, and compliance across all operational teams.
  • Assist the Sr. Operations Supervisor in daily decision-making to help prioritize resources, balance workloads, and execute test plans.
  • Support onboarding and training of new Operations Associates, ensuring consistency in role expectations, SOPs, and performance standards.
  • Provide ad hoc operational support across field operations, piloting, and project initiatives to maintain continuity of service and execution.

EXPERIENCE, QUALIFICATIONS, & SKILLS
Required Experience, Qualifications, and Skills
  • Bachelor's degree in a related field, or equivalent experience (3+ years in operations, logistics, or customer service)
  • Strong organizational, collaboration, and problem-solving skills.
  • Ability to remain calm under pressure with a proactive, can-do attitude toward challenges.
  • Demonstrated ability to work independently with minimal supervision.
  • Comfort with spreadsheets (Excel or Google Sheets)
  • Willingness to work flexible hours, including evenings and weekends, as operations require.
  • Comfortable driving mid-size utility vehicles as needed.
  • Valid U.S. driver's license.
  • Ability to work nights, weekends, and holidays

Preferred Experience, Qualifications, and Skills
  • Previous experience in a high-growth, fast-paced startup environment
  • Experience with schedule creation, resource planning, or forecasting
  • Direct customer-facing experience (field or service-based)
  • Ability to analyze data and report on operations through Google Workspace (Docs, Sheets, Drive)
  • Strong passion for efficiency, innovation, and robotics

Additional Information
  • This role is onsite and field-based, with ad hoc movement between depots, deployment zones, and customer locations. Candidates should be comfortable with standing, walking, and lifting up to 50 lbs as part of daily operations. Occasional evening and weekend shifts may be required to support deployments and testing schedules.
  • Safety compliance: Adherence to PPE rules, strict cell phone protocols, and dress codes (high-visibility vests, safe footwear) is mandated.
  • Operations Coordinators must be prepared to perform duties in various weather conditions, including inclement weather.
  • This role may require the operation of company vehicles or e-bikes for work-related purposes. Employees must be able to perform driving duties safely and in accordance with company policies and applicable laws, with or without reasonable accommodation.

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