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Senior Machine Learning Engineer Jobs in Austin, TX

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 ...

Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI-enabled solutions that improve software delivery workflows, automate operational processes, and ...

Senior / Staff Machine Learning Engineer Austin, TX About the Team Avride develops autonomous vehicle and delivery robot technology, leveraging deep expertise in autonomous systems. With the recent ...

Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay updated with the latest advancements in machine learning.

About the Role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

About the Role We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In ...

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 ...

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 ...

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions. You'll design, develop, and maintain the data ...

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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 Jun 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 job categories do people searching Senior Machine Learning Engineer jobs in Austin, TX look for? The top searched job categories for Senior Machine Learning Engineer jobs in Austin, TX 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:
Senior Machine Learning Engineer II

Senior Machine Learning Engineer II

CesiumAstro

Austin, TX

$103K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago


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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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