ZipRecruiter

Log In

1

Senior Machine Learning Software Engineer Jobs in California

Zof AI

Senior Machine Learning Engineer

San Francisco, CA · On-site

$170 - $250/hr

Zof AI is seeking a Senior Machine Learning Engineer for the traditional ML discipline: training ... Strong software engineering discipline. * Clear written and verbal communication. * Comfort ...

Yum Brands

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning ... The ideal candidate combines strong software engineering and MLOps fundamentals with a passion for ...

MrBeast

Senior Machine Learning Engineer

San Mateo, CA · Hybrid

$119K - $163K/yr

Senior Machine Learning Engineer Primary: Bay Area (San Francisco / Peninsula) | Secondary: NYC The ... Partner with product, data scientists, and software engineers to define and ship ML solutions.

Kikoff

Senior Machine Learning Engineer

San Francisco, CA

$123K - $169K/yr

We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on ... The ideal candidate will have a strong background in software development, machine learning, and ...

KFC Corporation

Sr Machine Learning Engineer

Irvine, CA · On-site

$130 - $162/hr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning ... The ideal candidate combines strong software engineering and MLOps fundamentals with a passion for ...

New

Yum

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning ... The ideal candidate combines strong software engineering and MLOps fundamentals with a passion for ...

Kikoff

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on ... The ideal candidate will have a strong background in software development, machine learning, and ...

Intuit

Senior Machine Learning Engineer

Mountain View, CA · On-site

$171K - $231K/yr

Senior Machine Learning Engineer Join a vibrant team of machine learning engineers helping conceive ... Software engineering fundamentals: version control (Git/GitHub); ability to write production-ready ...

Intuit

Senior Machine Learning Engineer

San Diego, CA · On-site

$171K - $231K/yr

Senior Machine Learning Engineer Join a vibrant team of machine learning engineers helping conceive ... Software engineering fundamentals: version control (Git/GitHub); ability to write production-ready ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Software Engineer JobsSenior Machine Learning Software Engineer JobsSenior Machine Learning Software Engineer Jobs in California

Senior Machine Learning Software Engineer information

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges senior machine learning software engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.

What are the key skills and qualifications needed to thrive as a senior machine learning software engineer, and why are they important?

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are the most commonly searched types of Machine Learning Software Engineer jobs in California?

The most popular types of Machine Learning Software Engineer jobs in California are:

What are popular job titles related to Senior Machine Learning Software Engineer jobs in California?

For Senior Machine Learning Software Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Senior Machine Learning Software Engineer jobs in California look for?

The top searched job categories for Senior Machine Learning Software Engineer jobs in California are:

What cities in California are hiring for Senior Machine Learning Software Engineer jobs?

Cities in California with the most Senior Machine Learning Software Engineer job openings:

Senior Machine Learning Software Engineer jobs near you
Infographic showing various Senior Machine Learning Software Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Machine Learning Engineer

Zof AI

San Francisco, CA • On-site

$170 - $250/hr

Other

Posted 4 days ago

Job description

Zof AI is seeking a Senior Machine Learning Engineer for the traditional ML discipline: training, fine-tuning, and evaluating models rather than only building on top of them. This role owns datasets, training pipelines, and the applied models that power verification and quality systems inside our products. The ideal candidate is rigorous about evaluation, comfortable owning the full model lifecycle, and pragmatic about when a trained model beats an API call.

Engineering · Mid to Senior · Full-time · On-site · San Francisco, CA

Responsibilities
  • Train, fine-tune, and evaluate models for production use.
  • Build and maintain datasets, labeling pipelines, and data quality checks.
  • Own training infrastructure and experiment tracking.
  • Develop applied models that power verification and quality features.
  • Establish rigorous evaluation and regression testing for models.
  • Decide when to train, when to fine-tune, and when to call an API.
  • Collaborate with AI and product engineers to ship models into features.
  • Own the model lifecycle from data through production monitoring.
Requirements
  • Hands-on experience training and fine-tuning models.
  • Strong grounding in ML fundamentals and evaluation methodology.
  • Experience with Python and the modern ML stack.
  • Experience building datasets and data pipelines.
  • Strong software engineering discipline.
  • Clear written and verbal communication.
  • Comfort operating in a fast-moving environment.
  • Evidence of models shipped to production or rigorous applied work.
Nice to have
  • Experience fine-tuning LLMs or working with embeddings at scale.
  • Experience with PyTorch, JAX, or similar frameworks.
  • Experience with model serving and inference optimization.
  • Published work, competition results, or strong open-source contributions.

Hands-on experience training, fine-tuning, and evaluating machine learning models is required

#J-18808-Ljbffr

Apply