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

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site +1

$335K - $400K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are hiring Senior Machine Learning Engineers We are hiring engineers with significant expertise ... Fully funded health insurance (Dental, Optical, and Medical) * Generous allowances for wellness ...

Bumble Inc.

Senior Machine Learning Engineer

Austin, TX

$220K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... healthy and equitable, and machine learning is central to how we make that real for millions of ... We care deeply about authenticity and want to understand your real skills, judgment and voice ...

Bumble Inc.

Senior Machine Learning Engineer

Austin, TX · On-site

$220K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... healthy and equitable, and machine learning is central to how we make that real for millions of ... We care deeply about authenticity and want to understand your real skills, judgment and voice ...

Bumble Inc.

Senior Machine Learning Engineer

Austin, TX · On-site

$220K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... healthy and equitable, and machine learning is central to how we make that real for millions of ... We care deeply about authenticity and want to understand your real skills, judgment and voice ...

webAI Inc

Staff Machine Learning Engineer

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Autonomize Inc

Sr Machine Learning Engineer( Austin only)

Austin, TX · On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

About Autonomize AI Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows ... The Opportunity As a Senior Machine Learning Engineer at Autonomize, you will lead the development ...

webAI Inc

Staff Machine Learning Engineer

Austin, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Socket.dev

Machine Learning Engineer, OIS-Core Engine

Austin, TX · On-site

$143.70 - $194.40/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Do you want to solve complex network management problems using machine learning to improve ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Fluidstack

Machine Learning Engineer

Austin, TX · On-site

$130 - $180/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

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 ...

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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 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.

Senior Machine Learning Engineer

Rokt

Austin, TX • On-site, Remote

$335K - $400K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Rokt is an ecommerce technology company with the mission of making every transaction more relevant. The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by companies like Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh.

We are hiring Senior Machine Learning Engineers

We are hiring engineers with significant expertise in both machine learning and software engineering. You will be working with our engineering and product teams to design, build and productionize proprietary machine learning models to solve different business challenges including smart bidding, lookalike modelling, forecasting, etc.

Target total compensation ranges from $335k - $400k, comprised of a fixed annual salary of $210k - $260k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.

Responsibilities

  • Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, and architect machine learning solutions for smart bidding, lookalike modelling, forecasting, and related ranking and prediction tasks.
  • Build and productionise machine learning models, including model-specific data pipelines, feature engineering within the team's feature store, and integration with the team's orchestration and serving infrastructure.
  • Evaluate model performance through offline metrics, and monitor deployed models for drift, leading retraining or rollback decisions as needed.
  • Contribute to and maintain the high quality of the code base with tests that provide a high level of functional coverage as well as non-functional aspects such as load testing, unit testing, and integration testing.
  • Keep track of emerging tech and trends, research the state-of-the-art deep learning models, prototype new modelling ideas, and conduct offline and online experiments

Requirements

  • Willingness to work 4 day in-office, 1 day remote weekly schedule.
  • PhD or Master's in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval (or equivalent experience)
  • Extensive knowledge in and experience with some of the following areas: Bayesian methods, recommender systems, multi-task modelling, meta-learning, click-through rate modelling or conversion rate modelling
  • 3+ years of industry experience building production-grade machine learning systems, spanning model training, tuning, deployment, serving, and monitoring
  • Experience with Kubeflow (or similar), TensorFlow, and a feature store in a production environment is a massive plus
  • Bonus points if you are familiar with any of the following architectures or have experience with the models mentioned: DCNV2, MMOE, Deep & Wide, ESMM, xDeepFM, and GDCN

Benefits

  • Equity in a profitable, fast-growing company approaching $1 Billion in revenue.
  • Dollar-for-dollar 401K matching plan (up to 4% of fixed annual remuneration)
  • Fully funded health insurance (Dental, Optical, and Medical)
  • Generous allowances for wellness, technology, mobile, and transit.
  • Daily catered lunch, stocked pantry & fridges
  • Extra leave (bonus annual leave, sabbatical leave etc.)

Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If this sounds like a role you'd enjoy, apply here, and you'll hear from our recruiting team.

Note: The first stage of the recruitment process for this role is to complete a 15-minute online aptitude test, which will be sent out to your application email. Successful candidates will be contacted to discuss the next steps.

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