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Senior Machine Learning Engineer Jobs in Austin, TX

Sr Machine Learning Engineer( Austin only)

Austin, TX ยท On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Opportunity As a Senior Machine Learning Engineer at Autonomize, you will lead the development and deployment of machine learning solutions with an emphasis on large language models (LLMs ...

We are looking for a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for our advanced distributed processing platforms. This role is ...

Senior Machine Learning Engineer II

Austin, TX ยท On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We are looking for a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for our advanced distributed processing platforms. This role is ...

Senior Machine Learning Engineer II

Austin, TX ยท On-site

$103K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

We are looking for a Senior Machine Learning Engineer II to contribute to the development and deployment of machine learning solutions for our advanced distributed processing platforms. This role is ...

Senior Machine Learning Scientist

Austin, TX ยท Hybrid

  • Medical

  • Life

  • Retirement

  • PTO

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable ... Pipeline Engineering: Develop and optimize data processing pipelines for data preprocessing ...

As a machine learning engineer in Finance, you'll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for ...

Machine Learning Engineer

Austin, TX ยท On-site

$100 - $130/hr

  • Medical

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type: Full timeposted on: Posted Yesterdayjob requisition id: REQ-12438# **As passionate about our people ...

Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...

Machine Learning Engineer

Austin, TX ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...

New

Sr. Machine Learning Engineer - Finance

Austin, TX

$184K - $277K/yr

  • Medical

  • Dental

  • Retirement

As a machine learning engineer in Finance, you'll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for ...

Sr. Machine Learning Engineer - Finance

Austin, TX

$184K - $277K/yr

  • Medical

  • Dental

  • Retirement

As a machine learning engineer in Finance, you'll play an integral and global role in building the data foundations, services, and platforms used for delivering insights and automating decisions for ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Showing results 21-40

Senior Machine Learning Engineer information

See Austin, TX salary details

$59K

$125.4K

$181.8K

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

As of Aug 13, 2026, the average yearly pay for senior machine learning engineer in Austin, TX is $125,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $142,200.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

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

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

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

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

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

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

Infographic showing various Senior Machine Learning Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $125,414 per year, or $60.3 per hour.

Senior ML Engineer - Healthcare AI & LLMs Lead

Autonomize, Inc

Austin, TX โ€ข On-site

$120 - $150/hr

Other

Posted 8 days ago


Job description

Autonomize, Inc, located in Austin, is seeking a Senior Machine Learning Engineer who will lead the development and deployment of machine learning solutions aimed at revolutionizing healthcare. You will fine-tune large language models, develop vision-based data approaches, and enhance classic NLP models.

The ideal candidate has 5-7 years of experience in machine learning engineering and is well-versed in technologies like TensorFlow and PyTorch. The position offers competitive compensation, 100% employer-paid health insurance, and a chance to make an impact in the future of healthcare.

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