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Remote Machine Learning Robotics Jobs in Florida

Serve Robotics

Remote Supervision Coordinator

Miami, FL · On-site +1

$55K - $64K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... JOB OVERVIEW The Remote Supervision Coordinator monitors and supports Serve's autonomous delivery ...

Acclaim

Principal Machine Learning Engineer

Miami, FL · On-site +1

Remote work opportunities from Europe / US * The company has prominent clients with an opportunity for you to work on different projects and/or to be involved in developing our proprietary products

Phsorg

... (RPA), machine learning, workflow automation, predictive analytics, and generative AI solutions ... Remote: Open to applicants in the United States, excluding CA, IL, ND, NY, OH, WA, and WY. Hybrid ...

Seez

Generative AI and ML Engineer

Fort Lauderdale, FL · On-site +1

We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of ... Flexible remote work options * Open door policy to CEO and all Leadership team * One-on-one ...

Brooksource

Lead DS- Remote

Miami, FL · On-site +1

$90 - $100/hr

Remote Compensation: $90-$100 hourly Job Type: Long Term Contract Job Summary We are seeking a Lead ... This role combines machine learning, operations research, and optimization techniques to drive ...

Lee Health

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Remote - Florida Department: IS Information Technology Svcs Work Type: Full Time Shift: Shift 1/8 ... Masters degree in Computer Science, Machine Learning, or related discipline preferred. Experience ...

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Remote Machine Learning Robotics information

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Robotics Engineer, and why are they important?

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.
What are popular job titles related to Remote Machine Learning Robotics jobs in Florida? For Remote Machine Learning Robotics jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Robotics jobs in Florida look for? The top searched job categories for Remote Machine Learning Robotics jobs in Florida are:
What cities in Florida are hiring for Remote Machine Learning Robotics jobs? Cities in Florida with the most Remote Machine Learning Robotics job openings:
Remote Machine Learning Robotics jobs near you
Remote Supervision Coordinator

Remote Supervision Coordinator

Serve Robotics

Miami, FL • On-site, Remote

$55K - $64K/yr

Full-time

Posted 12 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
The Remote Supervision Coordinator monitors and supports Serve's autonomous delivery robot operations in real time, ensuring safe, efficient, and reliable service execution. This role responds to operational incidents, supports customer and merchant interactions, and assists with testing and validation activities to improve robot performance and operational quality.
JOB DUTIES
  • Monitor, supervise, and guide autonomous robot activities in real time to ensure safe and efficient operations while following standard operating procedures
  • Communicate directly with restaurants, merchants, and customers to resolve operational issues
  • Make real-time decisions within defined guidelines to maintain safety, efficiency, and service quality
  • Document, track, and report incidents accurately and in a timely manner, maintaining strong attention to detail
  • Provide support to internal teams and external partners as needed
  • Meet established performance targets, including productive hours, safety, performance, and operational efficiency metrics
  • Test product functions and features to identify bugs, potential system misuse, and operational gaps, and provide feedback for continuous improvement
  • Support special trials and pilot programs to test features ahead of broader Remote Supervisor release
  • Coordinate with internal operations, engineering, and support teams to escalate issues, communicate operational impacts, and support resolution efforts.
  • Apply training and feedback to continuously improve performance and adapt to new tools and processes

EXPERIENCE, QUALIFICATIONS, & SKILLS
Required Experience, Qualifications, and Skills
  • 2+ years of experience in operations, customer support, logistics, or a similar fast-paced environment
  • Experience using computers and web-based tools in a professional or structured setting
  • Strong attention to detail with the ability to monitor and manage multiple robots and tasks simultaneously
  • Clear written and verbal communication skills
  • Ability to follow standard operating procedures and make decisions within defined guidelines
  • Comfortable working in a fast-paced, real-time operational environment
  • Demonstrated reliability, punctuality, and ability to work scheduled shifts

Preferred Experience, Qualifications, and Skills
  • Experience in remote operations, dispatch, gaming, or real-time monitoring environments
  • Familiarity with incident reporting or ticketing systems
  • Interest in robotics, autonomous systems, or emerging technology

Additional Information
  • Work onsite with movement between depots, deployment zones, and customer locations as needed
  • Stand and walk for extended periods and lift up to 50 lbs as part of daily operations
  • Work occasional evenings and weekends to support operations, deployments, and testing
  • Follow all safety protocols, including PPE requirements, cell phone policies, and dress code (e.g., high-visibility vest and appropriate footwear)

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