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Senior Machine Learning Software Engineer Jobs in California

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 ...

Yum

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

TEKsystems

Sr. Machine Learning Engineer

Menlo Park, CA · Hybrid

$70 - $85/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Machine Learning Engineer (LLM Evaluation & AI Agents) Location: Menlo Park, CA (Hybrid ... software, tools, and digital environments. This role focuses on evaluating model performance ...

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 ...

Clera

Senior Machine Learning Engineer

San Francisco, CA · On-site

$70 - $75/hr

... for a Senior Machine Learning Engineer to take ownership of complex, enterprise-scale ML ... Collaborate with Data Engineers, Software Engineers, Product Managers, Clinical teams, and business ...

Clera

Senior Machine Learning Engineer

San Francisco, CA · On-site

$70 - $75/hr

... for a Senior Machine Learning Engineer to take ownership of complex, enterprise-scale ML ... Collaborate with Data Engineers, Software Engineers, Product Managers, Clinical teams, and business ...

Absurd Ventures

Senior Machine Learning Engineer

Santa Monica, CA · On-site +1

$165K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As Senior Machine Learning Engineer, you will work alongside gameplay engineers, producers, designers, and artists to integrate intelligent, adaptive systems for our toolchain and in the realtime ...

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Senior Machine Learning Software Engineer information

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 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 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 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

Nvidia Corporation

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

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

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

As a Senior Machine Learning Engineer at NVIDIA, you will build the machine learning brain that keeps NVIDIA's global DGX Cloud healthy, efficient and ready for the next waves of AI breakthroughs. DGX Cloud fuses NVIDIA GPUs, NVLink networking and the full AI software stack into elastic infrastructure powering large language models, drug discovery, autonomous driving and climate science. Your models will turn billions of telemetry signals into predictive insight. This frees customers to innovate while our platform runs smarter.
What you'll be doing:
  • Ground breaking and developing innovative machine learning algorithms and models that propel our AI products.
  • Build production models for anomaly detection, predictive maintenance and usage optimization.
  • Develop tools surfacing real time telemetry, efficiency metrics and long term trends.
  • Develop forecasting and simulation models for global scale planning.
  • Analyzing complex datasets to determine the best approach for model training and optimization.
  • Translate findings into clear engineering actions with infrastructure, operations and product teams.
  • Participating in cross-functional projects to integrate machine learning capabilities into various NVIDIA products.

What we need to see:
  • Master's degree or PhD in Mathematics, Statistics, Machine Learning or related quantitative field (or equivalent experience).
  • 8+ years experience applying Machine Learning to operational systems.
  • Proven track record of building and deploying Machine Learning models in production environments.
  • Experience with time series analysis and optimization algorithms.
  • Familiarity with distributed systems and cloud platforms such as AWS and Kubernetes.
  • Strong software engineering skills and proficiency in Python.
  • Effective verbal/written communication, and technical presentation skills.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
  • A track record of delivering high-impact projects to compete in a fast-paced environment.

Ways to stand out from the crowd:
  • Experience solving capacity planning problems.
  • Deep understanding of GPU performance metrics.
  • Familiarity with prometheus and PromQL.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 7, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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