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Founding Machine Learning Engineer Jobs in Lake Worth, FL

Enboarder

Machine Learning Engineer

Boca Raton, FL · On-site

$130 - $170/hr

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 ...

ServiceNow

Senior Machine Learning Engineer

West Palm Beach, FL · On-site +1

$118K - $156K/yr

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious ... You will play a major part in building AI and Machine Learning (ML) solutions that transform the ...

Posted today

Pwc

AI Engineer

Boca Raton, FL · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

LexisNexis

Senior Data Scientist II

Boca Raton, FL

Do you enjoy combining software engineering, analytics, machine learning, and Generative AI to deliver innovative, customer-facing solutions? About the Business LexisNexis Risk Solutions is the ...

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All JobsFounding Machine Learning Engineer JobsFounding Machine Learning Engineer Jobs in Lake Worth, FL

Founding Machine Learning Engineer information

See Lake Worth, FL salary details

$28K

$114.4K

$172K

How much do founding machine learning engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for founding machine learning engineer in Lake Worth, FL is $114,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $137,700.00 per year, depending on experience, location, and employer.

What is a founding machine learning engineer?

A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.

What are some unique challenges and expectations for a founding machine learning engineer in an early-stage startup?

As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.

What are the key skills and qualifications needed to thrive as a founding machine learning engineer, and why are they important?

To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.

Are founding machine learning engineers still in demand?

Founding machine learning engineers remain in high demand as companies seek to develop AI-driven products and services. They often require strong skills in deep learning, data modeling, and proficiency with tools like TensorFlow or PyTorch, with demand driven by growth in AI applications across industries.

How much does a founding machine learning engineer make?

A founding machine learning engineer typically earns between $100,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses may also be part of the compensation package, especially in startup environments where they play a significant role in total earnings.

What are popular job titles related to Founding Machine Learning Engineer jobs in Lake Worth, FL?

For Founding Machine Learning Engineer jobs in Lake Worth, FL, the most frequently searched job titles are:

What job categories do people searching Founding Machine Learning Engineer jobs in Lake Worth, FL look for?

The top searched job categories for Founding Machine Learning Engineer jobs in Lake Worth, FL are:

What cities near Lake Worth, FL are hiring for Founding Machine Learning Engineer jobs?

Cities near Lake Worth, FL with the most Founding Machine Learning Engineer job openings:

Founding Machine Learning Engineer jobs near you

Machine Learning Engineer

Enboarder

Boca Raton, FL • On-site

$130 - $170/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Job description

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.
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