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Brain Machine Interface Jobs in Florida (NOW HIRING)

Brain Machine Interface information

See Florida salary details

$10

$17

$23

How much do brain machine interface jobs pay per hour?

As of May 29, 2026, the average hourly pay for brain machine interface in Florida is $17.05, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $19.04 per hour, depending on experience, location, and employer.

What is a Brain Machine Interface job?

A Brain Machine Interface (BMI) job involves developing technologies that connect the human brain with computers or external devices. Professionals in this field work on designing, testing, and improving neural interfaces to restore lost sensory or motor functions, enhance cognitive abilities, or enable direct brain communication with machines. Roles may include neuroscientists, engineers, and software developers collaborating to advance BMI applications in healthcare, assistive technology, and neuroprosthetics.

What are the key skills and qualifications needed to thrive in the Brain Machine Interface position, and why are they important?

To thrive in a Brain Machine Interface (BMI) role, you need a strong background in neuroscience, biomedical engineering, computer science, or a related field, often supported by advanced degrees or specialized training. Proficiency with signal processing software (such as MATLAB or Python), brain imaging tools, and hardware prototyping is typically required, along with familiarity with regulatory standards. Strong problem-solving skills, collaboration, and attention to detail help individuals excel in multi-disciplinary teams working at the intersection of biology and technology. These competencies are crucial for developing safe, effective interfaces and driving innovation in this fast-evolving field.

What are the typical daily responsibilities of someone working in a Brain Machine Interface position?

Professionals in Brain Machine Interface roles usually divide their time between designing experiments, analyzing neural data, developing and testing interface prototypes, and collaborating with cross-disciplinary teams such as neuroscientists, engineers, and clinicians. They may also be involved in writing technical documentation, participating in regulatory compliance activities, and keeping up with the latest scientific literature. Depending on the project, work can flow between laboratory research and computational tasks, requiring flexibility and an eagerness to learn new techniques. The environment is often collaborative and research-focused, providing ample opportunities to contribute to exciting advancements in neurotechnology.
What are the most commonly searched types of Brain Machine Interface jobs in Florida? The most popular types of Brain Machine Interface jobs in Florida are:
Machine Learning Engineer

Machine Learning Engineer

Modernizing Medicine, Inc.

Boca Raton, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Join the Team Modernizing Medicine
At ModMed, we're not just building software-we're reimagining the healthcare experience. Founded in 2010 by a practicing physician and a successful tech entrepreneur, we took a radically different approach: we hired doctors and taught them how to code. This "for doctors, by doctors" philosophy has allowed us to create an AI-enabled, specialty-specific cloud platform that places patients at the center of care.
A Culture of Excellence
When you join ModMed, you're joining an award-winning team recognized for innovation and employee satisfaction. From our global headquarters in Boca Raton Florida, and extensive employee base in Hyderabad India, we are a team of 4,500+ passionate problem-solvers on a mission to increase medical practice success and improve patient outcomes:
  • Consistently ranked as a Top Place to Work
  • 2025 Globee Business Awards: Gold Globee for "Technology Team of the Year"
  • 2025 Black Book Awards: Ranked #1 EHR in 11 Specialties
  • Florida Venture Forum: Venture-Backed Company of the Year

We are growing fast, thinking big, and we are just getting started.
Ready to modernize medicine with us?
Job Description Summary:
We are seeking a Machine Learning Engineer to build the "active brain" of our patient engagement platform. In this role, you will develop autonomous and conversational AI agents capable of triaging patient messages and managing clinical workflows.
Your mission is to design systems that don't just respond, but act-executing complex tasks with minimal human intervention while maintaining high standards of safety, empathy, and accuracy.
What you'll do
  • Autonomous Agent Development
    Design and deploy multi-agent systems using frameworks such as LangGraph, AutoGen, CrewAI, or no-code/low-code agent frameworks to execute complex, non-linear clinical workflows.
  • Patient Engagement Agents
    Build and optimize conversational AI interfaces that handle message triage, sentiment analysis, and context-aware responses that are natural, empathetic, and patient-centric. Develop tool-calling architectures that enable AI agents to interact with external APIs, EHR systems, and databases to perform real-world actions.
  • Model & Agent Evaluation
    Design and implement evaluation frameworks to measure model and agent performance, including accuracy, reliability, safety, and task completion. Continuously improve systems using structured evaluation methodologies and feedback loops.
  • Safety & Guardrails
    Implement robust evaluation pipelines and guardrails (e.g., NeMo Guardrails) to ensure agent safety, clinical accuracy, and HIPAA compliance.
  • AI Observability
    Create and maintain dashboards to monitor agent reasoning traces, system performance, uptime, and task completion rates in production environments.

What you'll bring
  • 3+ years of experience in Machine Learning with a strong focus on AI agents and conversational NLP systems.
  • Proven experience building autonomous systems using LangGraph, AutoGen, CrewAI, or similar no-code/low-code agent frameworks.
  • Hands-on experience with fine-tuning models and implementing rigorous evaluation frameworks to ensure agent performance, safety, and reliability. Familiarity with techniques for detecting hallucinations, bias, and failure modes in agent behavior.
  • Strong understanding of guardrails, alignment techniques, and safety mechanisms to ensure compliant, accurate, and trustworthy agent outputs in sensitive environments.
  • Hands-on experience with AWS and Databricks, including building CI/CD pipelines for deploying machine learning models and AI agents.
  • Strong proficiency in Python and experience with modern evaluation frameworks such as RAGAS or DeepEval.

ModMed Benefits Highlight: At ModMed, we believe it's important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits:
United States
  • Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution,
  • 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep.
  • Generous Paid Time Off and Paid Parental Leave programs,
  • Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs,
  • Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed,
  • Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning,
  • Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles,
  • Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters.

PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (first.lastname@modmed.com). Please check senders' email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.