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Machine Learning Software Engineer Jobs in Austin, TX

ExtendMyTeam

Machine Learning Engineer

Austin, TX

... software delivery, and streamline implementation processes across a large-scale delivery ... Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI ...

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 ...

Striveworks

Senior Machine Learning Engineer

Austin, TX · On-site +1

$121.40K - $160.10K/yr

You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities. You're right for this opportunity if you value ...

Apple

Machine Learning Engineer

Austin, TX

$132.10K - $244.60K/yr

Description To be successful, candidates will need a machine learning background, proven software ... Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ...

Apple

Machine Learning Engineer

Austin, TX

$132.10K - $244.60K/yr

Description To be successful, candidates will need a machine learning background, proven software ... Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ...

Apple

Machine Learning Engineer

Austin, TX

$132.10K - $244.60K/yr

Description To be successful, candidates will need a machine learning background, proven software ... Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ...

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 ...

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 ...

Apple

Machine Learning Engineer

Austin, TX · On-site

To be successful, candidates will need a machine learning background, proven software development ... Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ...

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

... Top Software & Technology Providers, and FreightWaves' FreightTech 2022 and 2021 Awards for ... About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ...

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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 May 29, 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.
More about Machine Learning Software Engineer jobs
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:
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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 May 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 78% Physical, 11% Hybrid, and 11% Remote job distribution, with an average salary of $146,192 per year, or $70.3 per hour.

Machine Learning Engineer

ExtendMyTeam

Austin, TX

Full-time

Posted 10 days ago

Job description

Join a high-growth financial technology organization focused on delivering modern digital banking and software solutions to financial institutions and enterprise clients. This team is investing heavily in AI-driven innovation to improve operational efficiency, accelerate software delivery, and streamline implementation processes across a large-scale delivery organization.

This is an opportunity to work on highly visible initiatives focused on automation, workflow optimization, and practical AI applications that directly impact customer delivery and operational performance.

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 enhance implementation efficiency. This individual will partner closely with engineering, implementation, product, and delivery teams to identify process bottlenecks and build practical AI-driven solutions that improve execution and scalability.

This is a hands-on engineering role focused on production systems, workflow automation, and AI implementation rather than purely research-oriented machine learning work.

Responsibilities

  • Design and develop AI/ML-enabled applications and workflow automation solutions

  • Build scalable machine learning pipelines and production-ready systems

  • Collaborate cross-functionally with engineering, implementation, product, and delivery teams

  • Identify operational inefficiencies and develop automation solutions to improve processes and delivery cycles

  • Integrate AI and machine learning solutions into production environments

  • Support experimentation, evaluation, testing, and continuous improvement of AI systems

  • Stay current with emerging AI, LLM, and machine learning technologies

Required Experience / Ideal Background

  • 5–8 years of relevant software engineering and/or machine learning experience

  • Strong Python engineering background

  • Experience working with AI/LLM technologies and frameworks such as OpenAI, Claude, PyTorch, TensorFlow, LangChain, or similar tools

  • Experience building and deploying production-grade applications, automation systems, or ML solutions

  • Familiarity with cloud platforms and scalable infrastructure environments

  • Experience within SaaS, enterprise software, fintech, or implementation-heavy technology organizations preferred

  • Strong problem-solving, communication, and collaboration skills

  • Experience working cross-functionally with technical and operational teams

Additional Information

  • Hybrid opportunity located in Austin, TX

  • Applicants must be authorized to work in the U.S. without sponsorship

  • Competitive compensation, benefits, flexible time off, and career development opportunities