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Machine Learning Software Engineer Jobs in Austin, TX

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 ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

... Engineer. This role will assist our Online Retail Decision Automation team by helping to research ... Description To be successful, candidates will need a machine learning background, proven software ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

... Engineer. This role will assist our Online Retail Decision Automation team by helping to research ... Description To be successful, candidates will need a machine learning background, proven software ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

... Engineer. This role will assist our Online Retail Decision Automation team by helping to research ... Description To be successful, candidates will need a machine learning background, proven software ...

Roku

Senior Machine Learning Engineer

Austin, TX

$121K - $160K/yr

We're looking for seasoned engineers with a background in machine learning to aid in this mission ... Proficient coding skills and strong software development experience in Spark, Python, or Java

9 Mothers

Machine Learning Engineer, Senior

Austin, TX · On-site

$103K - $142K/yr

... software engineering skills beyond model development, including ownership of training ... machine learning applications. • Active security clearance, or eligibility to obtain one. • ...

PTP

Machine Learning Engineer - REMOTE

Austin, TX · On-site +1

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that ... Data visualization software (Tableau preferred) * Familiarity with AWS SageMaker * Strong ...

Q2

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 ...

PayPal

Machine Learning Engineer

Austin, TX · On-site

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

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All JobsMachine Learning Software Engineer JobsMachine Learning Software Engineer Jobs in Austin, TX

Machine Learning Software Engineer information

See Austin, TX salary details

$62.9K

$146.2K

$203.7K

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

As of Jul 9, 2026, the average yearly pay for machine learning software engineer in Austin, TX is $146,227.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $171,500.00 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 the most commonly searched types of Machine Learning Software Engineer jobs in Austin, TX? The most popular types of Machine Learning Software Engineer jobs in Austin, TX are:
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 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $146,227 per year, or $70.3 per hour.

Staff Machine Learning Engineer

TalentPros.AI

Austin, TX

$120K - $550K/yr

Full-time

Re-posted 16 days ago

Job description

About the Team

We are at the forefront of artificial intelligence, driving innovation and shaping the future with cutting-edge research. Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll transform groundbreaking research into real-world applications that can change industries, enhance human creativity, and solve complex problems.


About the Role

As a Machine Learning Engineer in our Applied Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark.

In this role, you will:

  • Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring our research from concept to implementation, creating AI-driven applications with a direct impact.
  • Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.
  • Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.
  • Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.
  • Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.


You might thrive in this role if you:

  • Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field. 
  • Demonstrated experience in deep learning and transformers models
  • Proficiency in frameworks like PyTorch or Tensorflow
  • Strong foundation in data structures, algorithms, and software engineering principles.
  • Experience with search relevance, ads ranking or LLMs is a plus.
  • Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
  • Excellent problem-solving and analytical skills, with a proactive approach to challenges.
  • Ability to work collaboratively with cross-functional teams.
  • Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
  • Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done


We are an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.