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Machine Learning Startup Jobs in Florida (NOW HIRING)

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 ...

Neocis, Inc.

Software Engineer - Application

Miami, FL · On-site

Avoid silos and "not my job" mentality in our smaller, fast paced, startup environment * We offer ... Experience with machine learning preferred * Experience with robot control, including FK and IK ...

Quvia

IP Network Solutions Engineer

Miramar, FL · On-site

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

Quvia

Solutions Engineer

Hollywood, FL · On-site

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 ...

Quvia

IP Network Solutions Engineer

Miramar, FL · On-site +1

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

Quvia

Solutions Engineer

Miramar, FL · On-site

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 ...

Quvia

IP Network Solutions Engineer

Hollywood, FL · On-site

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

Quvia

IP Network Solutions Engineer

Miramar, FL · On-site +1

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

Enludio

Producer

Orlando, FL · On-site

Experience in a startup or fast-paced technology environment, demonstrating adaptability and ... Knowledge of emerging technologies, such as AI, machine learning, or real-time rendering frameworks ...

Quvia

Solutions Engineer

Miramar, FL · On-site +1

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 ...

Enludio

Producer (Contractor)

Orlando, FL · On-site

Experience in a startup or fast-paced technology environment, demonstrating adaptability and ... Knowledge of emerging technologies, such as AI, machine learning, or real-time rendering frameworks ...

UVeye

Sales Director, Car Rental

Miami, FL · On-site

$120K - $150K/yr

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... Experience working in startup companies and scaling business operations. * Deep knowledge of car ...

UVeye

Sales Director, Car Rental (Miami)

Miami, FL

... vision, machine learning, and generative AI within the automotive sector. With over $380M in ... Experience working in startup companies and scaling business operations. * Deep knowledge of car ...

Tenex.AI Inc

Threat Detection Engineer

Sarasota, FL · On-site

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... Knowledge of data science and machine learning concepts as applied to security analytics. Why Join ...

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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 1, 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

Strategy and Analytics, Credit

Career Renew

Miami, FL • On-site, Remote

$180K - $220K/yr

Full-time

Medical

Posted 14 days ago

Job description

Career Renew is recruiting for one of its clients a Strategy and Analytics, Credit - this is a fully remote role for US-based candidates. Salary range: 180-220K USD yearly plus benefits plus equity.
We are the leading provider of innovative identity and risk solutions, empower institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Its solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. We proudly serve a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others.

We are looking for a Strategy & Analytics, Credit Nerd with at least 5 years of experience to bring deep credit expertise to our team. We are seeking a highly analytical, hands-on individual contributor who can incorporate a credit-oriented approach into how we analyze data and demonstrate our product's value to partners.

What will you be doing?

  • Conduct deep, rigorous data analysis on prospect data to create proof-of-concept retro studies.
  • Analyze raw credit reports, draw vintage curves, and apply a credit-focused lens to data.
  • Partner with the sales team to build and deliver compelling, data-backed business cases and ROI narratives.
  • Present complex analytical findings to senior stakeholders at financial institutions.
  • Work with Python and Jupyter notebooks to perform rigorous data analysis.

Key Requirements:

5+ years of experience in hands-on credit risk analysis, working with raw credit data at a fintech or financial institution. (Mandatory)

Hands-on experience with raw credit reports and vintage curves (Mandatory)

Background at high-growth fintech or VC-backed startup (sub-500 employees). (Nice-to-have)

Founder experience or a strong entrepreneurial background. (Nice-to-have)

Degree from a top-tier university (or equivalent top-tier work experience) (Mandatory)

Credit domain expertise (Mandatory)

Deep understanding of analytical concepts like precision and recall (Mandatory)

Proficiency with SQL and/or Python for data analysis. (Mandatory)

Why candidates should join
  • Market Leader: We officially partner with 13 out of the top 15 banks in the US including JP Morgan Chase and Citibank. This shows our strong product-market fit and industry validation.
  • Proven Growth: $85M raised from top-tier investors like Andreessen Horowitz Craft Ventures and NYCA Partners. We're at 170 people and planning 100+ hires this year.
  • Industry Recognition: Forbes Fintech 50 company every year since 2023. We made history as the first eCBSV provider and testified before Congress.
  • Strong Compensation: $180K-$220K base salary plus equity and comprehensive benefits including employer-paid health insurance for you and dependents.
  • Remote Flexibility: Work from anywhere in the US with optional office access in Austin SF NYC Seattle LA and Chicago.