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Machine Learning Software Engineer Jobs in Austin, TX

Avride

Machine Learning Engineer

Austin, TX · On-site

Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems. Qualifications : Required : • Strong ...

Avride

Machine Learning Engineer

Austin, TX

Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems. What you'll need * Strong understanding of ...

Avride

Machine Learning Engineer

Austin, TX · On-site

Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems. What you'll need * Strong understanding of ...

Neuralink

Machine Learning Engineer

Austin, TX

The BCI team develops the software and systems that communicate with the brain. These systems ... About the Role: Engineers on the BCI team utilize signal processing and machine learning to ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

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 ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

The BCI team develops the software and systems that communicate with the brain. These systems ... About the Role: Engineers on the BCI team utilize signal processing and machine learning to ...

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Machine Learning Software Engineer information

See Austin, TX salary details

$62.9K

$146.2K

$203.6K

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

As of Jul 30, 2026, the average yearly pay for machine learning software engineer in Austin, TX is $146,192.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $171,400.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.

What are popular job titles related to Machine Learning Software Engineer jobs in Austin, TX? For Machine Learning Software Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Software Engineer jobs in Austin, TX look for? The top searched job categories for Machine Learning Software Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Machine Learning Software Engineer jobs? Cities near Austin, TX with the most Machine Learning Software Engineer job openings:
Machine Learning Software Engineer jobs near you
Infographic showing various Machine Learning Software Engineer job openings in Austin, TX as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $146,192 per year, or $70.3 per hour.

Sr. Software Engineer, Machine Learning/Data Science

SpaceX

Bastrop, TX

$113K - $136K/yr

Other

Posted 6 days ago

SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

14th of 71 rated aerospace companies

Job description

SR. SOFTWARE ENGINEER, MACHINE LEARNING/DATA SCIENCE

The application software team is the central nervous system of SpaceX - we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flights as well as systems that allow Starlink to grow into a worldwide fast, reliable internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support. 

Our team is creating systems to analyze data from events like rocket launches or factory production workloads to always-on telemetry from the Starlink satellite constellation with point-in-time analysis, historical analysis and machine learning. We work closely with engineers throughout the company to create and update our systems with respect to crewed launches, Starship flights, changes to the Starlink network and much more. 

Aerospace experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce. 

RESPONSIBILITIES: 

  • Develop highly reliable and scalable data analysis libraries, systems, and data pipelines, to empower engineers across SpaceX
  • Create new applications that improve how the business at SpaceX operates
  • Collaborate with peers on architecture, design, and code reviews
  • Build prototypes to prove out key design concepts and quantify technical constraints
  • Own all aspects of software engineering and product development
  • Deep dive into engineering problems and involve in corporation/coordination with domain experts

BASIC QUALIFICATIONS: 

  • Bachelor's degree in computer science, engineering, math, or scientific discipline and 5+ years of professional experience in software development; OR 7+ years of professional experience building software in lieu of a degree
  • 3+ years of professional experience in full-stack development

PREFERRED SKILLS AND EXPERIENCE: 

  • 3+ years of professional experience in data engineering or data science
  • 2+ years of hands-on experience applying ML techniques (ex: CNNs, RNNs) to datasets
  • Programming experience in Python, C#,or similar languages
  • Experience working withdata analysis libraries such as Python Pandas
  • Experience with machine learning libraries like SciPi and PyTorch
  • Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, PowerBI or similar
  • Experience with relational databases such as PostgreSQL
  • Experience applying computer vision libraries such as OpenCV and Ultralytics to real-world problems
  • Goodunderstanding of machine learning algorithms, linear algebra, calculus, probability, statistics, and optimization methods. 
  • Good understanding of version control, testing, continuous integration, build, deployment and monitoring
  • Some front-end experience in Angular, React, or similar JavaScript framework

ADDITIONAL REQUIREMENTS: 

  • You may be asked to work extended hours/weekends dependent on launch cadence
  • Must be willing to travel when needed

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US

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