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Machine Learning Startup Jobs in Florida (NOW HIRING)

Eightpoint Interactive, Inc.

AI Engineer

Fort Myers, FL · On-site

$110 - $160/hr

Our innovative culture thrives on collaboration, data-driven decisions, and a startup mindset. Join ... machine learning technologies to create intelligent, personalized user experiences. You'll ...

Notably

Full Stack Engineer

Saint Petersburg, FL · On-site +1

$75K - $100K/yr

... Combining machine learning and AI with research frameworks and best practices to create an ... A desire to work in a startup: high impact and experimental. * An interest in mentorship, learning ...

Notably

Full Stack Engineer

Saint Petersburg, FL · On-site +1

$75K - $100K/yr

... Combining machine learning and AI with research frameworks and best practices to create an ... A desire to work in a startup: high impact and experimental. * An interest in mentorship, learning ...

Jiffy

Sr. Product Manager (Generalist)

Miami, FL · Hybrid

$150K - $200K/yr

... machine learning and large-scale systems. You'll balance short-term delivery with long-term ... Startup DNA: You've worked at a seed or Series A-C startup or have tried to build on your own. * E ...

Bomnin Chevrolet Dadeland

Sr. AI/ML Engineer (LLM)

Miami, FL · On-site

$99K - $137K/yr

Combining the agility of a startup with the expertise and business acumen of seasoned leaders, the ... Other primary responsibilities include designing and implementing machine learning models ...

TENEX.AI

Senior Threat Hunter

Sarasota, FL · On-site

$120 - $180/hr

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... Apply machine learning algorithms to identify emerging threats and trends, providing actionable ...

Tenex

Head of Adversarial Research

Sarasota, FL · On-site

$180 - $300/hr

Prior experience building a research or intel function within an MDR, MSSP, or high-growth startup environment. * Experience leveraging AI/Machine Learning for threat intelligence and pattern ...

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All JobsMachine Learning Startup JobsMachine Learning Startup Jobs in Florida

Machine Learning Startup information

See Florida salary details

$19.1K

$31.8K

$65.8K

How much do machine learning startup jobs pay per year?

As of Aug 31, 2026, the average yearly pay for machine learning startup 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 is a machine learning startup?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

What are the typical responsibilities and daily challenges when working at a machine learning startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What are the key skills and qualifications needed to thrive in a machine learning startup, and why are they important?

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the most commonly searched types of Machine Learning Startup jobs in Florida?

The most popular types of Machine Learning Startup jobs in Florida are:

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

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

What job categories do people searching Machine Learning Startup jobs in Florida look for?

The top searched job categories for Machine Learning Startup jobs in Florida are:

Machine Learning Startup jobs near you
Infographic showing various Machine Learning Startup job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $31,822 per year, or $15.3 per hour.

Robotics Software Engineer, Manipulation

Pensacola, FL • On-site

Persona AI
See more jobs at Persona AIexternal

Full-time

Re-posted 21 days ago

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.

Apply