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Machine Learning Software Engineer Jobs (NOW HIRING)

Apple

Machine Learning Software Engineer

Sunnyvale, CA

$181K - $318K/yr

S and 7+ years of experience in software engineering, computer vision, machine learning or related fields. Strong experience in Python. Working experience in C++ or Swift. Foundational understanding ...

Apple

Machine Learning Software Engineer

Sunnyvale, CA · On-site

S and 7+ years of experience in software engineering, computer vision, machine learning or related fields.Strong experience in Python.Working experience in C++ or Swift.Foundational understanding of ...

CAREERS | vector

The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex.

Vector Resources, Inc

$110K - $150K/yr

The Machine Learning / Software Engineer will lead technical modernization efforts across AI/ML automation, digital engineering transformation, and software development for the NNSA weapons complex.

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

As of Jun 18, 2026, the average yearly pay for machine learning 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.

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.

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Machine Learning Software Engineer jobs near you

Machine Learning Software Engineer

Hatch Global Search

Middletown, NJ • On-site

$124K - $164K/yr

Other

Posted 15 days ago

Job description

Senior Software Engineers, Machine Learning

Our client is a growing software company. Several key positions have opened because of this expansion including Software Engineers at Senior and Principal levels with machine learning experience. These are hybrid positions in Monmouth County. If you have solid computer science fundamentals (data structures, algorithms, etc.) and experience with C, Python and Linux you may qualify for one of these exceptional opportunities.

The Software Engineering - ML roles focus on developing and maintaining high-performance software with a strong foundation in software engineering fundamentals. The position requires expertise in designing, training, and optimizing machine learning models, particularly for anomaly and ransomware detection. The engineer will work collaboratively in a Scrum environment to deliver production-ready code, integrate components, and resolve customer issues. Proficiency in C, Python, and related libraries (e.g., pandas, scikit-learn) for Linux, along with a solid understanding of algorithms, data structures, and Agile methodologies, is essential. Strong communication, teamwork skills, and a commitment to continuous learning are key to success in this role. Full job description is available.

Requirements include: BS, MS or PhD in CS, CE, EE, Math, or other technical discipline; a few years of software development; Machine Learning knowledge; team player with great interpersonal skills; desire to contribute and learn.

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