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Machine Learning Software Engineer Jobs in San Jose, CA

Ema

Software Engineer, Machine Learning

San Francisco, CA · On-site

$160K - $220K/yr

Who You Are We're looking for innovative and passionate Machine Learning Engineers to join our team ... Good understanding of software development principles, data structures, and algorithms. * Excellent ...

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All JobsMachine Learning Software Engineer JobsMachine Learning Software Engineer Jobs in San Jose, CA

Machine Learning Software Engineer information

See San Jose, CA salary details

$74.4K

$172.9K

$240.8K

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

As of Aug 10, 2026, the average yearly pay for machine learning software engineer in San Jose, CA is $172,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,600.00 and $202,700.00 per year, depending on experience, location, and employer.

Is machine learning software engineer a high paying job?

Machine learning software engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming languages like Python and experience with frameworks like TensorFlow. Salaries vary based on experience, location, and industry, but generally rank above average compared to other software engineering roles.

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 as a machine learning software engineer?

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 popular job titles related to Machine Learning Software Engineer jobs in San Jose, CA? For Machine Learning Software Engineer jobs in San Jose, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Software Engineer jobs in San Jose, CA look for? The top searched job categories for Machine Learning Software Engineer jobs in San Jose, CA are:
What cities near San Jose, CA are hiring for Machine Learning Software Engineer jobs? Cities near San Jose, CA 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 San Jose, CA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $172,896 per year, or $83.1 per hour.

Senior Software Engineer, Infrastructure

Skild AI

San Mateo, CA • On-site

$100K - $300K/yr

Full-time

Re-posted 20 days ago

Job description

Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We are looking for a Senior Software Engineer to enhance the performance, reliability, and maintainability of our cutting-edge robotics systems in deployment. You will design, implement, and maintain software systems for deployment in real-world robotic products. This role involves leading discussions and collaborating with machine learning, deployment, test, and security engineers to ensure seamless integration of our machine learning models into practical applications. You will also define technical roadmaps and drive product and system architecture direction.
Responsibilities
  • Architect, build, and maintain deployment software infrastructure and back-end services (e.g., model training infrastructure, AI developer tools, metrics dashboards).
  • Lead teams to develop reliable software systems with robust testing, metrics, and logging mechanisms.
  • Write and review code, develop documentation, create capacity plans, and debug on robot hardware.
  • Collaborate with cross-functional teams to define technical roadmaps and drive the direction of product and system architecture.
  • Share an on-call rotation with the engineering team to ensure system reliability and quick issue resolution.
Preferred Qualifications
  • BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Minimum of 3 years of industry experience.
  • Proficiency developing higher-level languages (e.g. Python, C++, or Java).
  • Experience in configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems, and messaging systems.
  • Knowledge of Linux OS fundamentals, memory management, and kernel.
  • Experience learning software, frameworks, and APIs.
  • Experience with enterprise security.
  • Previous extensive work experience as a: Systems Engineer, Software Engineer, DevOps Engineer, Network Engineer, Systems Administrator, Linux Administrator, Database Administrator, Site Reliability Engineer (SRE), or similar.

Base Salary Range
$100,000-$300,000 USD

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