1

Quantitative Researcher Machine Learning Jobs in Florida

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

next page

Showing results 1-20

Quantitative Researcher Machine Learning information

What are popular job titles related to Quantitative Researcher Machine Learning jobs in Florida? For Quantitative Researcher Machine Learning jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Quantitative Researcher Machine Learning jobs in Florida look for? The top searched job categories for Quantitative Researcher Machine Learning jobs in Florida are:
What cities in Florida are hiring for Quantitative Researcher Machine Learning jobs? Cities in Florida with the most Quantitative Researcher Machine Learning job openings:
Machine Learning Engineer

Machine Learning Engineer

Roper Technologies

Sarasota, FL • On-site

Full-time

Posted 29 days ago


Roper Technologies rating

8.2

Company rating: 8.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

83rd of 202 rated software companies


Job description

Roper Technologies is seeking a Machine Learning Engineer to help design, build, and deploy advanced AI systems across our portfolio of market-leading software businesses.
This role will focus on developing scalable machine learning products and services, shared AI components, and intelligent agents that drive meaningful business impact. Depending on experience level, the role may involve leading architectural initiatives, mentoring engineers, and shaping technical strategy.
We are looking for hands-on engineers who are excited about building production-grade AI systems-not just prototypes-and who thrive in a high-impact, applied environment. Candidates who have demonstrated ability to think through product as well as engineering are highly desired.
What You'll Do
AI & ML System Development
  • Design, build, and deploy machine learning models and AI systems in production environments
  • Develop components such as:
    • Model inference services
    • Data and feature pipelines
    • Complex recommendation and matching services
    • Vision based analysis systems
    • Evaluation and monitoring pipelines
  • Optimize models for performance, reliability, and cost efficiency

Intelligent Agents & Applied AI
  • Contribute to the development of AI agents and multi-step workflow automation systems
  • Build systems that integrate with enterprise tools and APIs
  • Implement tool-use frameworks, memory mechanisms, and evaluation loops
  • Experiment with LLMs, foundation models, and fine-tuning approaches
  • Help translate AI research advances into practical, scalable solutions

Engineering Excellence
  • Write high-quality, maintainable, and well-tested code
  • Participate in architecture design and technical reviews
  • Contribute to CI/CD pipelines and MLOps workflows
  • Implement observability and monitoring for AI systems in production
  • Follow security, compliance, and responsible AI best practices

Cross-Functional Collaboration
  • Partner with product, data engineering, and infrastructure teams
  • Help identify high-impact AI use cases within portfolio companies
  • Support integration of shared AI components into business applications
  • Communicate technical tradeoffs clearly to both technical and non-technical stakeholders

Qualifications
We welcome candidates across a range of experience levels. The scope and seniority of responsibilities will scale accordingly.
Required
  • 3+ years of experience in software engineering, data science, or machine learning (more for senior roles)
  • Experience building and deploying production software systems
  • Strong programming skills in Python (experience in additional languages is a plus)
  • Familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Understanding of modern AI architectures, including LLM-based systems
  • Experience working with cloud environments (AWS, Azure, or GCP)
  • Strong problem-solving skills and attention to detail

Preferred
  • Experience with:
    • Fine tuning, experimentation, etc.
    • Rapid development using AI tools
    • Agent frameworks and orchestration tools
    • Distributed systems or microservices architecture
    • Model monitoring and evaluation frameworks
  • Experience building reusable libraries or shared infrastructure
  • Exposure to SaaS products or enterprise software environments
  • Background in optimizing models for performance and cost

Leveling & Growth
We are hiring across multiple experience levels:
  • Intermediate ML Engineer - Contributes independently to projects, builds production features, collaborates cross-functionally.
  • Senior ML Engineer - Owns complex systems end-to-end, drives architectural decisions, mentors others.
  • Principal / Staff ML Engineer - Defines technical direction, leads cross-portfolio initiatives, designs shared frameworks and scalable AI infrastructure.

Level and compensation will be determined based on experience and demonstrated expertise.
What We Value
  • Strong engineering fundamentals
  • Practical, impact-driven AI development
  • Curiosity and willingness to experiment responsibly
  • Ownership mindset and bias toward execution
  • Ability to balance innovation with reliability

Why Join Roper
  • Work on high-impact AI systems across a diverse portfolio of leading software businesses
  • Build reusable infrastructure that scales across industries
  • Collaborate with experienced engineering and executive leadership
  • Shape the next generation of intelligent enterprise software

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

What Roper Technologies employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom