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Machine Learning Startup Jobs in Florida (NOW HIRING)

This is a highly hands-on role for someone who combines strong research capabilities with real-world production experience and can operate effectively in a fast-moving startup environment.

Sr. Product Manager (Generalist)

Miami, FL ยท 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 ...

Full Stack Engineer

Saint Petersburg, FL ยท 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 ...

Full Stack Engineer

Saint Petersburg, FL ยท 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 ...

Sr. Product Manager (Generalist)

Miami, FL ยท On-site

$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 ...

$121K - $159K/yr

An AI-native mindset and a strong interest in applying machine learning to automate repetitive ... Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO ...

Senior Threat Hunter

Sarasota, FL ยท On-site

$110K - $151K/yr

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 ...

Sr. AI/ML Engineer (LLM)

Miami, FL ยท 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 ...

$117K - $154K/yr

Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO ... By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its ...

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... Founded in 2019, we are a fast-growing, Series A tech startup passionate about making connectivity ...

Our platform uses AI and machine learning to orchestrate connectivity across satellite, terrestrial ... Founded in 2019, we are a fast-growing, Series A tech startup passionate about making connectivity ...

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Showing results 1-20

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 Jul 21, 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 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.

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 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:
Infographic showing various Machine Learning Startup job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $31,822 per year, or $15.3 per hour.
Principal Machine Learning Engineer

Principal Machine Learning Engineer

Acclaim

Miami, FL โ€ข On-site, Remote

Full-time

Re-posted 3 days ago


Job description

Description
We are looking for a senior-level ML expert with deep experience in Speech AI, ideally focused on / Voice Generation, to help build and scale production-grade speech systems.
This is a highly hands-on role for someone who combines strong research capabilities with real-world production experience and can operate effectively in a fast-moving startup environment.
Requirements
  • 5+ years of experience in text-to-speech
  • Hands-on experience training and fine-tuning models
  • Proven experience deploying ML models into real production environments
  • Strong understanding of inference, latency, scaling, monitoring, and reliability
  • Strong ML background overall (ML Scientist / ML Engineer trajectory)
  • Strong coding and engineering skills

Responsibilities
  • Develop and improve / Voice Generation models
  • Train, fine-tune, and evaluate speech models
  • Bring research ideas into production systems
  • Work across research, engineering, and product
  • Help define technical direction and ML best practices
  • Drive execution in a fast-changing environment
  • Collaborate closely with engineering, product, and business stakeholders

What we offer
  • Experienced team, Acclaim is formed by a team of enthusiastic professionals who have created award-winning devices, voice assistants, and other AI-driven products for BigTech corporations
  • Cutting-edge technologies, we build technologies using our areas of expertise, including Computer Vision, Speech Technologies, Natural Language Understanding, Generative AI, etc. LLM and Diffusion models
  • Rapid career progression, facilitated by our team of seasoned senior professionals who hail from prestigious, industry-leading companies
  • 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
  • A company with entrepreneurial spirit. We offer a secure workspace, thanks to the big clients we've raised, along with a true start-up culture.