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Machine Learning Startup Jobs in Florida (NOW HIRING)

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 ...

Bomnin Chevrolet Dadeland

Sr. AI/ML Engineer (LLM)

Miami, FL · On-site

$99.90K - $137.20K/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 ...

Nokturnal AI

Be Seen First

Production Lead

Clearwater, FL · On-site

$40K - $120K/yr

... machine learning, and next-generation video analytics. We design and deploy cutting-edge solutions ... Collaborative and fast-paced startup environment * Career growth and leadership development ...

Career Renew

Strategy and Analytics, Credit

Miami, FL · On-site +1

$180K - $220K/yr

... machine learning models and insights from a team of top risk analysts. We proudly serve a broad ... VC-backed startup (sub-500 employees). (Nice-to-have) Founder experience or a strong ...

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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 Jun 3, 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 job?

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 key skills and qualifications needed to thrive in the Machine Learning Startup position, 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 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.
More about Machine Learning Startup jobs
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 May 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Temporary. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $31,822 per year, or $15.3 per hour.

Full Stack Engineer

Notably

Saint Petersburg, FL • On-site, Remote

$75K - $100K/yr

Full-time

PTO

Posted 23 days ago

Job description

Notably is growing our team of people on a mission to make research a part of everyday work. We help teams collect, analyze, and share qualitative research.
Notably is an inclusive and supportive team that trusts and respects each other. We bring our whole selves to work and celebrate what makes us unique. We're an early-stage startup with a high bar for excellence & productivity, but we leave ego, competitiveness, and hustle culture at the door. We believe in creating a calm and inviting workplace culture so that we can all thrive and do our best work and still have plenty of time to refuel our energy.
Some projects you could work on:
  • The split-screen infinite canvas and table workspace in Notably where researchers analyze qualitative data.
  • Enhancing the canvas experience with new tools and collaboration.
  • Exploring new ways to visualize qualitative data with a quantitative lens that could help researchers make meaning out of the mess.
  • Combining machine learning and AI with research frameworks and best practices to create an experience that will super power our researchers.
  • Solving for performance and memory optimizations- we want to keep pushing the limits of what's possible while maintaining high performance.
  • Improving core features like search, transcriptions, content management, and more.
We'd love to hear from you if you have:
  • At least 3 years of professional experience shipping features or products as a full-stack developer.
  • Demonstrated fluency with the following:
    • Typescript, React, GraphQL, and Node.
  • Experience with automated testing frameworks and TDD in Javascript.
  • Experience with the following is a plus:
    • Familiarity with Postgres, AWS.
    • Experience building real-time collaboration tools
    • Experience using HTML canvas
    • Background in AI, NLP, or data science.
  • Proactive and strong verbal and written communication skills.
  • A desire to work in a startup: high impact and experimental.
  • An interest in mentorship, learning from others, and digging into new challenges.
  • A collaborative vision of the product process. Every member of our team is involved from ideation to implementation.
  • A healthy skepticism and curiosity. Comfortable saying "I don't know" and participating in research calls with users.
Our hiring process:
The end-to-end hiring process will take a couple of weeks and includes:
  • An initial call with our CPO and founder.
  • A virtual interview with your future teammates.
  • A paid take-home project (that could be completed in a day) and practical technical screen with our engineering team.

If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Timezone requirements:
This is a fully remote position, however, candidates must either be based out of Europe (our technical lead is in Georgia) or in the Eastern timezone in US. Candidates who don't match this preference will not be considered for this role.
Pay & benefits:
  • Competitive salary & equity
  • Remote-first
  • Generous PTO
  • Learning & development stipend
  • Work from home stipend
  • Company on-sites
About Notably:
Notably was founded by Brittany Fuller and Allison Marshall in 2021 after both having experienced in their careers as aproduct manager and a product designer, a lack of solutions that aligned with the methodologies commonly used for research analysis and synthesis. They saw an opportunity to innovate in this space and solve a timeless problem: making sense out of conversational data. Today, Notably helps teams collect, analyze, and share qualitative research.

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