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Senior Machine Learning Software Engineer Jobs in Texas

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site

$335K - $400K/yr

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 ...

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site

$335K - $400K/yr

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 ...

Rokt

Senior Machine Learning Engineer

Austin, TX · On-site +1

$335K - $400K/yr

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 ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

... applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision ... Description To be successful, candidates will need a machine learning background, proven software ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

... applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision ... Description To be successful, candidates will need a machine learning background, proven software ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

... applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision ... Description To be successful, candidates will need a machine learning background, proven software ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

... applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision ... Description To be successful, candidates will need a machine learning background, proven software ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$116K - $154K/yr

... software engineers to ensure reliable, scalable adoption across the business • Communicate ... machine learning or statistical models, with a proven track record of delivering end-to-end ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The individual will work closely with the data and machine learning specialists, software engineers ... and senior management * Genuine intellectual curiosity about commodities markets, global energy ...

Socket.dev

Sr. Machine Learning Engineer

Austin, TX · On-site

$170 - $210/hr

As a Senior Machine Learning Engineer, you'll take a leading technical role in building the ... software engineering experience, with specific expertise in building consumer-facing products ...

Vitol

Senior Machine Learning Engineer

Houston, TX

$117K - $154K/yr

The individual will work closely with the data and machine learning specialists, software engineers ... and senior management * Genuine intellectual curiosity about commodities markets, global energy ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The individual will work closely with the data and machine learning specialists, software engineers ... and senior management * Genuine intellectual curiosity about commodities markets, global energy ...

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Senior Machine Learning Software Engineer information

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

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

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Texas? The most popular types of Machine Learning Software Engineer jobs in Texas are:
What are popular job titles related to Senior Machine Learning Software Engineer jobs in Texas? For Senior Machine Learning Software Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Software Engineer jobs in Texas look for? The top searched job categories for Senior Machine Learning Software Engineer jobs in Texas are:
What cities in Texas are hiring for Senior Machine Learning Software Engineer jobs? Cities in Texas with the most Senior Machine Learning Software Engineer job openings:
Senior Machine Learning Software Engineer jobs near you
Infographic showing various Senior Machine Learning Software Engineer job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Machine Learning Engineer

Lawrence Harvey

Austin, TX • On-site

$210K - $260K/yr

Full-time

Posted 14 days ago

Job description

  • Senior Machine Learning Engineers needed for high growth tech company
  • Austin, TX - must be willing to work in office 4 days a week
  • High competitive salary + equity + strong benefits

Senior Machine Learning Engineer
We're partnering with a fast-growing technology company that's building machine learning systems at significant scale to solve complex real-world challenges. Their platform processes billions of transactions annually and uses advanced AI to power intelligent decision-making for millions of end users.
As a Senior Machine Learning Engineer, you'll work at the intersection of machine learning and software engineering, collaborating closely with product and engineering teams to design, build and deploy production-grade ML models that directly influence business outcomes.
Compensation
  • Total compensation: $335k-$400k
  • Base salary: $210k-$260k
  • Equity package included
  • Comprehensive benefits

What you'll do
  • Partner with product managers and engineers to translate business problems into scalable machine learning solutions.
  • Design, develop and deploy production-ready machine learning models across areas such as ranking, prediction, optimisation, forecasting and recommendation.
  • Build robust data pipelines, engineer high-quality features and integrate models into scalable production infrastructure.
  • Monitor model performance, detect drift and continuously improve model accuracy through retraining and experimentation.
  • Write clean, well-tested, production-quality code and contribute to engineering best practices across testing, reliability and performance.
  • Research emerging machine learning techniques, prototype new approaches and validate ideas through offline and online experimentation.

What we're looking for
  • PhD or Master's degree in Computer Science, Statistics, Mathematics or a related quantitative discipline (or equivalent industry experience).
  • Strong background in machine learning and software engineering with experience delivering production ML systems.
  • Expertise in one or more of the following areas:
    • Recommender systems
    • Bayesian machine learning
    • Multi-task learning
    • Meta-learning
    • Ranking, prediction or optimisation models
  • At least 3 years of experience building end-to-end machine learning systems, including training, deployment, serving and monitoring.
  • Experience with modern ML infrastructure such as TensorFlow, Kubeflow (or similar) and feature stores is highly desirable.
  • Familiarity with large-scale deep learning architectures used for recommendation or ranking systems is a plus.

Working arrangements
  • Hybrid working model with four days per week in the office and one day working remotely.

This is an opportunity to join a highly technical engineering team where machine learning sits at the core of the product. You'll have the chance to work on challenging problems at scale, collaborate with experienced engineers and researchers, and see your work make a measurable impact.

Apply