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Healthcare Machine Learning Jobs in Austin, TX (NOW HIRING)

Fluidstack

Machine Learning Engineer

Austin, TX · On-site

$224K - $279K/yr

We hire people who care deeply about this problem space. If that is you, please apply! How We Operate * Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core ...

ForeFlight

Staff Machine Learning Engineer

Austin, TX · On-site +1

$208K - $255K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Jeppesen ForeFlight is seeking a Senior Machine Learning Engineer to help build and scale domain ... Medical, dental, vision insurance with Employer paid health premiums * Open PTO Policy * 401(k) ...

Roku

Senior Machine Learning Engineer, Voice Assistant

Austin, TX · On-site

$121K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Good understanding of machine learning fundamentals like regression, classification, ranking ... Local benefits include statutory and voluntary benefits which may include healthcare (medical ...

Roku

Senior Machine Learning Engineer, Voice Assistant

Austin, TX · On-site

$121K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Good understanding of machine learning fundamentals like regression, classification, ranking ... Local benefits include statutory and voluntary benefits which may include healthcare (medical ...

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Showing results 41-60

All JobsHealthcare Machine Learning JobsHealthcare Machine Learning Jobs in Austin, TX

Healthcare Machine Learning information

See Austin, TX salary details

$10.9K

$97.1K

$159.1K

How much do healthcare machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for healthcare machine learning in Austin, TX is $97,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $21,800.00 and $158,600.00 per year, depending on experience, location, and employer.

What is a healthcare machine learning?

A Healthcare Machine Learning job involves developing and applying machine learning models to analyze medical data and improve healthcare outcomes. Professionals in this role work with electronic health records, medical imaging, genomics, and other healthcare data to assist in disease prediction, diagnosis, and personalized treatments. They collaborate with clinicians, data scientists, and engineers to ensure models are clinically relevant and ethically sound. Strong knowledge of machine learning, data preprocessing, and regulatory compliance (such as HIPAA) is essential.

What are the key skills and qualifications needed to thrive in healthcare machine learning?

To thrive in Healthcare Machine Learning, you need strong expertise in data science, machine learning algorithms, and biomedical informatics, often supported by an advanced degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and healthcare data standards (like HL7 or FHIR) is highly beneficial, and certifications in data science or health informatics can provide an edge. Excellent problem-solving skills, attention to detail, and the ability to communicate complex technical concepts to diverse healthcare teams are valuable soft skills. These competencies are vital for developing robust, ethically sound machine learning solutions that improve clinical decision-making and patient outcomes.

What are some common challenges faced by professionals working in healthcare machine learning?

Professionals in Healthcare Machine Learning often encounter challenges such as navigating complex, unstructured, or incomplete healthcare data while ensuring strict compliance with privacy regulations like HIPAA. They must also bridge the gap between technical requirements and clinical needs, collaborating closely with medical professionals who may not have a technical background. Additionally, validating and interpreting machine learning models for real-world clinical use adds another layer of complexity, as solutions must be both accurate and explainable. Overcoming these challenges requires strong technical skills, effective teamwork, and a commitment to ethical, patient-centered solutions.

What does machine learning do in healthcare?

Healthcare machine learning involves developing algorithms that analyze medical data to assist in diagnosis, treatment planning, and predicting patient outcomes. Professionals in this field use tools like Python and TensorFlow, and often require knowledge of medical terminology and data privacy regulations to improve healthcare delivery.

What are the most commonly searched types of Healthcare Machine Learning jobs in Austin, TX?

The most popular types of Healthcare Machine Learning jobs in Austin, TX are:

What are popular job titles related to Healthcare Machine Learning jobs in Austin, TX?

For Healthcare Machine Learning jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Healthcare Machine Learning jobs in Austin, TX look for?

The top searched job categories for Healthcare Machine Learning jobs in Austin, TX are:

What cities near Austin, TX are hiring for Healthcare Machine Learning jobs?

Cities near Austin, TX with the most Healthcare Machine Learning job openings:

Healthcare Machine Learning jobs near you
Infographic showing various Healthcare Machine Learning job openings in Austin, TX as of August 2026, with employment types broken down into 3% As Needed, 67% Full Time, 15% Part Time, and 15% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $97,138 per year, or $46.7 per hour.

Computer Vision & Machine Learning, Associate

Allen Control Systems

Austin, TX • On-site

$94K - $154K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 19 days ago

Job description

Associate Computer Vision & Machine Learning for Autonomous Anti-Drone Systems

Company Overview:

Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two ex-Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers.

With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact. 

We’re hiring across multiple experience levels, including:

  • Associate CV/ML Engineer

  • CV/ML Engineer

  • Senior CV/ML Engineer

  • Staff CV/ML Engineer

  • Senior Staff CV/ML Engineer

    Your title and level will be determined based on your experience, skills, and the scope of responsibility appropriate for the role.

What You'll Do:

  • Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.

  • Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.

  • Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.

  • Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.

  • Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.

What You'll Need:

  • Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.

  • At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.

  • 0-3+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.

  • A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.

  • Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.

  • Experience with embedded systems and integrating computer vision algorithms into hardware.

  • Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.

  • You enjoy collaborating with other engineers to solve complex technical challenges.

What We Offer:

  • Competitive salary

  • ACS Equity Package

  • Health, Dental, Vision Insurance

  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Compensation Range: $94K - $154K