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

webAI Inc

Staff Machine Learning Engineer

Austin, TX · On-site +1

Comprehensive health, dental, and vision benefits package * 401(k) match * Equity options * $200 ... care leave, gender identity or expression, genetic information, marital status, medical condition ...

Fluidstack

Machine Learning Engineer

Austin, TX · On-site

$150 - $200/hr

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 ...

Fluidstack

Machine Learning Engineer

Austin, TX · On-site

$224K - $344K/yr

We hire people who care deeply about this problem space. If that is you, please apply! How We Operate * Be a barrel. Full autonomy. Own things end to end, take on scope without being asked, no ...

PayPal

Sr Machine Learning Engineer

Austin, TX · On-site

$145K - $160K/yr

This job will design, develop, and implement machine learning models and algorithms to solve ... healthcare coverage for you and your family, and resources to create financial security and ...

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Showing results 21-40

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 Sep 9, 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 2% As Needed, 68% Full Time, 15% Part Time, and 15% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $97,138 per year, or $46.7 per hour.

Staff Machine Learning Engineer

Austin, TX • On-site, Remote

webAI Inc
See more jobs at webAI Incexternal

Full-time

Medical, Dental, Vision, Retirement

Re-posted 21 days ago

Key responsibilities

  • Lead the development and optimization of Large Language Models and Mixture of Experts models.

  • Collaborate with cross-functional teams to integrate ML models into the platform.

  • Conduct research to improve the performance and efficiency of LLMs.

Job description

About Us:
webAI is the first end-to-end private AI platform. Enterprises and Governments use webAI to bring AI to their data, powering specialized intelligence trained on their own knowledge and compounding in value with every use.
Our approach is guided by a simple philosophy: AI should be specialized, sovereign, efficient, and sustainable. It should solve real problems, not just burn more compute. Our technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI. We are offering a superior career opportunity to join a dynamic and fast-growing team that fosters an exciting and growth-oriented work culture; an opportunity where you can truly put your name on meaningful change for an entire civilization.
About the Role:
We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models (LLMs) and/or Mixture of Experts (MoEs). The ideal candidate will have a proven track record of developing and deploying advanced AI models. You will lead core product initiatives across on-device inference optimization, quantization, RAG, agentic framework and/or tool calling. You will also be responsible for end-to-end delivery working cross functionally with other engineering functions and lead the sub-team.
Responsibilities:
  • Lead the development and optimization of Large Language Models and Mixture of Experts models.
  • Collaborate with cross-functional teams to integrate ML models into our platform.
  • Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs.
  • Stay abreast of the latest advancements in AI and ML, and apply this knowledge to improve our models and methodologies.
  • Mentor junior engineers and contribute to the team's knowledge sharing and best practices.

Qualifications:
  • Advanced degree (Ph.D. preferred) in Computer Science, or a related field.
  • Proven track record of building and innovations through publications or industry experience.
  • Minimum of 6 years of experience in machine learning, with specific expertise in Large Language Models and Mixture of Experts.
  • Strong programming skills in Python and machine learning frameworks like TensorFlow and/or PyTorch.
  • Demonstrated ability to lead complex projects and work collaboratively in a team environment.
  • Excellent problem-solving skills and a passion for innovation.

Preferred Skills:
  • Experience with cloud computing services (AWS, Azure, GCP).
  • Knowledge of Big Data technologies (Hadoop, Spark).
  • Familiarity with containerization and orchestration technologies (Docker, Kubernetes).
  • Publications or presentations in recognized Machine Learning journals or conferences.

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
  • Truth - Emphasizing transparency and honesty in every interaction and decision.
  • Ownership - Taking full responsibility for one's actions and decisions, demonstrating commitment to the success of our clients.
  • Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
  • Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

Benefits:
We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.
  • Competitive salary
  • Comprehensive health, dental, and vision benefits package
  • 401(k) match
  • Equity options
  • $200/month Health & Wellness stipend
  • Continuing Education support
  • $500/year Function Health subscription
  • Free parking for in-office employees
  • Flexible Time Off (FTO)
  • Parental leave for eligible employees
  • Supplemental life insurance

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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