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Health Machine Learning Jobs in Texas (NOW HIRING)

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX

$300K - $345K/yr

As part of the Machine Learning team, you'll play a critical role in shaping how AI powers ... The Bumble platform enables people to build healthy and equitable relationships, through Kind ...

Bumble Inc.

Staff Machine Learning Engineer

Austin, TX · On-site

$300K - $345K/yr

As part of the Machine Learning team, you'll play a critical role in shaping how AI powers ... The Bumble platform enables people to build healthy and equitable relationships, through Kind ...

CGI Inc.

Machine Learning Operations Engineer

Dallas, TX · On-site

$113K - $136K/yr

Machine Learning Operations Engineer Category: Software Development/ Engineering Main location ... Hands-on experience with monitoring tools for ML pipeline health and performance. . Strong ...

ForeFlight

Staff Machine Learning Engineer

Austin, TX · On-site +1

$208K - $255K/yr

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) ...

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All JobsHealth Machine Learning JobsHealth Machine Learning Jobs in Texas

Health Machine Learning information

See Texas salary details

$23.8K

$39.7K

$82K

How much do health machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for health machine learning in Texas is $39,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

How do Health Machine Learning professionals typically collaborate with clinical teams to implement AI solutions in healthcare settings?

Health Machine Learning professionals often work closely with clinicians, data scientists, and IT staff to develop and deploy AI-driven healthcare solutions. Collaboration involves understanding clinical workflows, validating models with real-world patient data, and ensuring that AI tools are both accurate and user-friendly. Regular meetings, cross-disciplinary workshops, and pilot project rollouts are common to ensure that the developed solutions address practical needs while complying with healthcare regulations. This teamwork is crucial for successful integration and adoption of machine learning models in clinical environments.

What is Health Machine Learning?

Health Machine Learning refers to the application of machine learning techniques and algorithms to healthcare data in order to improve medical decision-making, diagnostics, treatment plans, and patient outcomes. It involves using large amounts of health-related data, such as electronic health records, medical images, and genomic information, to train models that can predict diseases, assist in diagnosis, or personalize patient care. This field bridges computer science, data analytics, and medicine and is rapidly evolving to address complex healthcare challenges.

What are the key skills and qualifications needed to thrive as a Health Machine Learning specialist, and why are they important?

To excel as a Health Machine Learning specialist, you need a strong background in computer science, statistics, and healthcare data, typically supported by degrees in relevant fields and proficiency in machine learning algorithms. Experience with programming languages like Python or R, frameworks such as TensorFlow or PyTorch, and knowledge of healthcare data standards (e.g., HL7, FHIR) are crucial, along with certifications like TensorFlow Developer or Data Science Professional. Strong problem-solving, attention to detail, and effective communication skills help you collaborate with clinicians and stakeholders to translate complex data into actionable insights. These skills ensure the development of accurate, ethical, and impactful machine learning solutions that improve healthcare outcomes.
What are popular job titles related to Health Machine Learning jobs in Texas? For Health Machine Learning jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Health Machine Learning jobs in Texas look for? The top searched job categories for Health Machine Learning jobs in Texas are:
Health Machine Learning jobs near you
Infographic showing various Health Machine Learning job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 4% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $39,673 per year, or $19.1 per hour.

Computer Vision & Machine Learning, Staff

Allen Control Systems

Austin, TX • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 24 days ago

Job description

Staff Computer Vision & Machine Learning for Autonomous Anti-Drone Systems
Company Overview:
Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two former 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.
What You'll Do:
  • Lead the 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.
  • Mentor junior engineers and contribute to the overall growth of the machine learning and computer vision expertise within the company.
  • 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 Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
  • 9+ 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 mentoring and 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.

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