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Machine Learning Engineer Software Engineer Jobs in 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

... 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 ...

... 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 ...

... 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 ...

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 ...

... 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 ...

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Showing results 1-20

Machine Learning Engineer Software Engineer information

See Austin, TX salary details

$62.9K

$146.2K

$203.7K

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

As of May 29, 2026, the average yearly pay for machine learning engineer 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.

How do Machine Learning Engineer Software Engineers typically collaborate with data scientists and software development teams?

Machine Learning Engineer Software Engineers often serve as a bridge between data scientists and software development teams. They work closely with data scientists to understand and implement machine learning models, ensuring that the models are production-ready and scalable. Additionally, they collaborate with software engineers to integrate these models into existing applications, monitor their performance, and address any engineering challenges. This cross-functional collaboration is essential for delivering robust, end-to-end AI solutions that add real value to the business.

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

AspectMachine Learning EngineerSoftware Engineer
Required CredentialsBachelor's/Master's in CS, specialized ML coursesBachelor's in CS or related field
Work EnvironmentDevelops ML models, algorithms, data pipelinesBuilds software applications, systems, APIs
Industry UsageAI/ML projects, data-driven solutionsWeb, mobile, enterprise software

Machine Learning Engineers focus on designing and deploying ML models, requiring expertise in algorithms and data handling. Software Engineers develop broader software applications, emphasizing coding and system architecture. While both roles require programming skills, ML Engineers specialize in AI/ML tasks, whereas Software Engineers work across various software domains.

What are popular job titles related to Machine Learning Engineer Software Engineer jobs in Austin, TX? For Machine Learning Engineer Software Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Software Engineer jobs in Austin, TX look for? The top searched job categories for Machine Learning Engineer Software Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Machine Learning Engineer Software Engineer jobs? Cities near Austin, TX with the most Machine Learning Engineer Software Engineer job openings:

Machine Learning Engineer

ExtendMyTeam

Austin, TX

Full-time

Posted 9 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