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Software Engineer Ml Jobs in California (NOW HIRING)

Waymo

Software Engineer, ML Tools

Mountain View, CA · Hybrid

In this hybrid role, you will report to a Senior Software Engineer, Technical Lead Manager. You will: * Report to the TLM for the ML Tooling team * Apply Waymo and Alphabet technology to automate ...

Liftoff

Software Engineer, ML Data

San Francisco, CA

$180K - $230K/yr

As a Software Engineer on the Machine Learning Data Platform team at Liftoff, you will: * Work with an experienced team of ML, Software, and Infrastructure Engineers that are building the ML platform ...

Liftoff

Software Engineer, ML Data

San Francisco, CA · On-site

$180K - $230K/yr

As a Software Engineer on the Machine Learning Data Platform team at Liftoff, you will: * Work with an experienced team of ML, Software, and Infrastructure Engineers that are building the ML platform ...

NewsBreak

Software Engineer, ML Infra

Mountain View, CA · On-site

Collaborate with ML engineers to build robust model pipelines utilizing the ML infrastructure. Requirements * Education: Bachelor's degree in a related field with 5+ years of relevant experience, or ...

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Software Engineer Ml information

What does a software engineer ML do?

A Software Engineer, ML (Machine Learning) designs, develops, and deploys software systems that use machine learning algorithms to solve complex problems. They work on tasks such as building data pipelines, training and testing machine learning models, and integrating these models into production applications. They collaborate closely with data scientists, product managers, and other engineers to ensure that ML systems are scalable, efficient, and meet business objectives. Their work often involves programming, data analysis, and staying up-to-date with the latest developments in AI and machine learning.

What are some common challenges faced by software engineers working in machine learning, and how can they be addressed?

Software Engineers in Machine Learning often encounter challenges such as managing large datasets, ensuring model accuracy, and keeping up with rapidly evolving frameworks and tools. Collaboration with data scientists and domain experts is essential to align technical solutions with business goals. Staying current through continuous learning and leveraging cloud-based platforms or MLOps practices can help streamline workflows and improve model deployment. Additionally, effective communication within cross-functional teams is crucial for addressing both technical and non-technical challenges.

Are software engineer ML still in demand?

Software engineers specializing in machine learning are in high demand due to the growth of AI and data-driven applications. Skills in programming, data analysis, and frameworks like TensorFlow or PyTorch are valuable, and the role often requires staying current with evolving technologies. The demand is expected to continue as organizations increasingly adopt AI solutions.

What are the key skills and qualifications needed to thrive as a software engineer ML?

To thrive as a Software Engineer ML, you need strong proficiency in programming (especially Python), algorithms, machine learning theory, and a relevant degree in computer science or a related field. Experience with ML frameworks like TensorFlow or PyTorch, and familiarity with cloud computing platforms and version control systems are typically required. Analytical thinking, problem-solving, and effective communication skills help you stand out in collaborative and complex project environments. These skills are vital to efficiently develop, deploy, and maintain robust machine learning solutions that drive business value.
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Infographic showing various Software Engineer Ml job openings in California as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Software Engineer, ML Tools

Waymo

Mountain View, CA • Hybrid

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

The Waymo ML Infrastructure team accelerates Waymo's mission by building the best ecosystem for sustainably building and shipping ML-powered intelligence. We provide the best solutions for the entire model development lifecycle, collaborating closely with Google. Developer productivity, scale, and efficiency are core tenets.

In this hybrid role, you will report to a Senior Software Engineer, Technical Lead Manager.

You will:

  • Report to the TLM for the ML Tooling team
  • Apply Waymo and Alphabet technology to automate selection and preparation of data for model training
  • Work with ML Engineers to identify and resolve workflow difficulties through UX, automation, and agents

You have:

  • BS in Computer Science, Robotics, a similar technical field of study, or equivalent practical experience
  • Experience constructing and maintaining large datasets
  • High customer focus and ability to incorporate user feedback into designs and improvements

We prefer:

  • 3 years of professional experience building and maintaining ML platforms
  • Proficiency developing large-scale jobs and backend servers in C++ or Python
  • Proficiency developing web frontends in TypeScript/Angular

#LI-Hybrid

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