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Machine Learning Engineer Software Engineer Jobs

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 ...

HealthEdge

Machine Learning Engineer

Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design ... Partner with software engineers to integrate AI into the company's existing software infrastructure ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

If you also have knowledge of data science and software engineering, we'd like to meet you. Your ... Design machine learning systems * Research and implement appropriate ML algorithms and tools

Skild AI

Machine Learning Engineer

San Mateo, CA · On-site

Strong background in algorithms, data structures, and software engineering principles. * Experience ... Deep understanding of state-of-the-art machine learning techniques and models. * Extensive industry ...

Button, Inc.

Senior Machine Learning Engineer

$153K - $198K/yr

You will work closely with product managers, data scientists, and software engineers to translate ... AS A SENIOR MACHINE LEARNING ENGINEER, YOU WILL: * Own the full ML lifecycle including feature ...

Leidos

Machine Learning Engineer

Beavercreek, OH · On-site

$87.10K - $157.45K/yr

As a Machine Learning Engineer, you will apply your skills to a wide variety of problems and ... We are looking for a qualified candidate to bring technical excellence, rigorous software ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No ... History of software projects putting Machine Learning systems into production in any capacity.

DEKA

Machine Learning Engineer

Manchester, NH · On-site

We're looking for a Machine Learning Engineer who can operate at the intersection of backend ... S. in Computer Science, AI, or a related field * 6+ years in backend software engineering and ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

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Machine Learning Engineer Software Engineer information

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

As of May 30, 2026, the average yearly pay for machine learning engineer software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 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.

More about Machine Learning Engineer Software Engineer jobs
What cities are hiring for Machine Learning Engineer Software Engineer jobs? Cities with the most Machine Learning Engineer Software Engineer job openings:
What states have the most Machine Learning Engineer Software Engineer jobs? States with the most job openings for Machine Learning Engineer Software Engineer jobs include:
What job categories do people searching Machine Learning Engineer Software Engineer jobs look for? The top searched job categories for Machine Learning Engineer Software Engineer jobs are:
Machine Learning Engineer Software Engineer jobs near you
Infographic showing various Machine Learning Engineer Software Engineer job openings in the United States as of May 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $147,524 per year, or $70.9 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