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Senior Machine Learning Scientist Jobs in Texas (NOW HIRING)

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Sr Machine Learning Engineer

Austin, TX · On-site

$145K - $160K/yr

You will work closely with data scientists, software engineers, and product teams to enhance ... Develop and optimize machine learning models for various applications. * Preprocess and analyze ...

webAI Inc

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

We are seeking a Senior Machine Learning Engineer to support our Public Sector initiatives focused on building and optimizing production ready AI systems for secure and distributed environments. You ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and ... Bachelor's or higher degree in Computer Science, Engineering, or related technical field. * 6+ ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and ... Bachelor's or higher degree in Computer Science, Engineering, or related technical field. * 6+ ...

CesiumAstro

Senior Machine Learning Engineer II

Austin, TX · On-site

$103K - $142K/yr

We are looking for a Senior Machine Learning Engineer II to contribute to the development and ... Bachelor's or higher degree in Computer Science, Engineering, or related technical field. * 6+ ...

AppFolio

Sr. Machine Learning Engineer

Richardson, TX

$94K - $129K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

AppFolio

Sr. Machine Learning Engineer

Richardson, TX · On-site

$94K - $129K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

Bumble Inc.

Senior Machine Learning Engineer

Austin, TX · On-site

$103K - $142K/yr

Build and deploy machine learning models that improve recommendations, ranking, and personalization, driving measurable impact on user experience and engagement * Own problems end-to-end, from data ...

Q2

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

As a Machine Learning Engineer, you'll design and deliver production-ready AI solutions, develop the tools, APIs, and backend services that enable them, and help shape the future of our AI platform.

Q2 India

Senior Machine Learning Engineer

Austin, TX · On-site

$150 - $200/hr

As a Machine Learning Engineer, you'll design and deliver production-ready AI solutions, develop the tools, APIs, and backend services that enable them, and help shape the future of our AI platform.

New

Q2 Software, Inc.

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

As a Machine Learning Engineer, you'll design and deliver production-ready AI solutions, develop the tools, APIs, and backend services that enable them, and help shape the future of our AI platform.

T-Mobile

Sr Engineers, Machine Learning

Frisco, TX · On-site

$97K - $134K/yr

... all. Sr Engineers, Machine Learning located in Frisco, Texas will enable systems for coding ... Mentor and provide technical leadership to teams of data scientists and ML engineers, fostering ...

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Senior Machine Learning Scientist information

See Texas salary details

$62K

$103K

$153.3K

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

As of Sep 8, 2026, the average yearly pay for senior machine learning scientist in Texas is $102,989.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,200.00 and $116,500.00 per year, depending on experience, location, and employer.

What is a senior machine learning scientist?

Senior Machine Learning Scientists are experienced professionals who design, develop, and implement advanced machine learning models to solve complex business or research problems. They are responsible for leading projects, mentoring junior team members, and staying updated on the latest AI and data science technologies. Their work often involves analyzing large datasets, selecting the right algorithms, and optimizing model performance for real-world applications. In addition to technical expertise, they often collaborate cross-functionally to align machine learning solutions with organizational goals.

What are the key skills and qualifications needed to thrive as a senior machine learning scientist?

To thrive as a Senior Machine Learning Scientist, you need expertise in machine learning algorithms, statistical analysis, programming (usually in Python or R), and an advanced degree (often a Ph.D.) in a quantitative field. Experience with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms, and version control systems is typically expected, along with knowledge of deploying models in production environments. Exceptional problem-solving, communication, and leadership skills help you translate complex data insights into actionable business solutions and mentor junior team members. These skills are crucial for developing innovative models, ensuring robust deployment, and driving impactful data-driven decisions.

What are some common challenges senior machine learning scientists face when deploying models to production environments?

Senior Machine Learning Scientists often encounter challenges such as ensuring model scalability, maintaining model performance over time, and addressing data drift once models are deployed to production. Collaborating closely with engineering and operations teams is crucial to streamline deployment pipelines and monitor models for real-world reliability. It’s also important to communicate findings and potential risks to stakeholders, and to regularly update models based on new data or business requirements. These aspects make strong cross-functional teamwork and problem-solving skills essential in this role.

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

AspectSenior Machine Learning ScientistData Scientist
CredentialsMaster's or PhD in CS, ML, or related fieldBachelor's or Master's in CS, Statistics, or related field
Work EnvironmentFocus on developing ML models, algorithms, and researchData analysis, visualization, and business insights
Industry UsageUsed in AI-driven companies, tech firms, research labsCommon across industries for data analysis and reporting

While both roles involve working with data, Senior Machine Learning Scientists focus on developing advanced ML models and algorithms, often requiring research and deep technical expertise. Data Scientists typically analyze data to generate insights and support decision-making. The roles overlap but differ mainly in technical depth and focus area.

Is a senior machine learning scientist a high paying job?

A senior machine learning scientist typically earns a high salary due to advanced skills in data analysis, programming, and model development, often exceeding average tech industry wages. Compensation varies by industry, location, and experience, but it generally reflects the specialized expertise required for the role.

What are the most commonly searched types of Machine Learning Scientist jobs in Texas?

The most popular types of Machine Learning Scientist jobs in Texas are:

What are popular job titles related to Senior Machine Learning Scientist jobs in Texas?

For Senior Machine Learning Scientist jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Scientist jobs in Texas look for?

The top searched job categories for Senior Machine Learning Scientist jobs in Texas are:

What cities in Texas are hiring for Senior Machine Learning Scientist jobs?

Cities in Texas with the most Senior Machine Learning Scientist job openings:

Senior Machine Learning Scientist jobs near you
Infographic showing various Senior Machine Learning Scientist job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $102,989 per year, or $49.5 per hour.

Senior Machine Learning Engineer II

Austin, TX • On-site

Alumni Ventures
51 - 200 employees
Learn more about Alumni Venturesexternal

$125 - $150/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 21 days ago

Key responsibilities

  • Design, develop, and maintain deep learning pipelines for real-time data processing.

  • Evaluate and curate relevant datasets; establish model benchmarks to measure performance.

  • Develop, deploy, and maintain microservices that deliver ML capabilities to production systems.

Job description

Please Note: To conform with the United States Government Space Technology Export Regulations, the applicant must be a U.S. citizen, lawful permanent resident of the U.S., conditional resident, asylee or refugee (protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required authorizations from the U.S. Department of State.

At CesiumAstro, we are developers and pioneers of out-of-the-box communication systems for satellites, UAVs, launch vehicles, and other space and airborne platforms. We take pride in our dynamic and cross-functional work environment, which allows us to learn, develop, and engage across our organization. If you are looking for hands-on, interactive, and autonomous work, CesiumAstro is the place for you. We are actively seeking passionate, collaborative, energetic, and forward-thinking individuals to join our team.

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 highly collaborative, working closely with product, backend, and systems engineering teams to design, integrate, and maintain robust ML applications that support CesiumAstro’s mission.

JOB DUTIES AND RESPONSIBILITIES
  • Design, develop, and maintain deep learning pipelines for real-time data processing.
  • Evaluate and curate relevant datasets; establish model benchmarks to measure performance.
  • Improve observability and monitoring for deployed ML systems.
  • Develop, deploy, and maintain microservices that deliver ML capabilities to production systems.
  • Enhance tooling and orchestration for tuning, deployment, and scaling of ML pipelines.
  • Collaborate in research and development initiatives, contributing to new ML capabilities for aerospace and defense applications.
  • Document designs, workflows, and operational best practices to ensure maintainable and resilient ML systems.
JOB REQUIREMENTS AND MINIMUM QUALIFICATIONS
  • Bachelor’s or higher degree in Computer Science, Engineering, or related technical field.
  • 6+ years of professional experience developing production-ready ML systems in small to medium-sized organizations (additional experience required for larger organizations).
  • Proficiency in Python with demonstrated experience implementing ML algorithms in production environments.
  • Experience designing and maintaining APIs for ML services.
  • Hands-on experience deploying and managing ML workflows in Kubernetes environments.
  • Strong communication skills with the ability to clearly articulate complex technical ideas.
  • Ability to work effectively in a collaborative, Agile engineering team.
PREFERRED EXPERIENCE
  • Knowledge of microservice architectures and distributed data systems.
  • Familiarity with aerospace or defense applications of ML systems.
  • Track record of contributing to early-stage or rapidly scaling teams.

CesiumAstro considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, and key skills. Full-time employment offers include company stock options and a generous benefits package including health, dental, vision, HSA, FSA, life, disability and retirement plans.

CesiumAstro is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

Please note: CesiumAstro does not accept unsolicited resumes from contract agencies or search firms. Any unsolicited resumes submitted to our website or to CesiumAstro team members will be considered property of CesiumAstro, and we will not be obligated to pay any referral fees.

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