How much does a Machine Learning Engineer make in San Mateo, CA?
Machine Learning Engineers in San Mateo, CA, enjoy competitive salaries. The average yearly salary stands at $244,424. This range varies based on experience and specific skills. Some professionals in the lower range start at around $112,000. Higher-experienced engineers can earn over $400,000 annually.
The salary distribution in San Mateo shows a steady increase as experience and expertise grow. About 5.09% of Machine Learning Engineers earn around $112,000 per year. In contrast, those at the higher end, around 1.70%, earn over $392,000 annually. This data highlights the potential for significant earnings in this field.
What are the highest paying cities for a Machine Learning Engineer near San Mateo, CA?

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Mountain View, CA
Average Salary: $228,223
Mountain View offers diverse opportunities in cutting-edge tech firms. Companies like Google thrive here, focusing on innovative projects. The area provides a dynamic environment for tech enthusiasts.
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Santa Clara, CA
Average Salary: $226,878
In Santa Clara, tech giants such as Intel and Apple dominate the job market. Roles often involve advanced research and development. The city's tech-centric atmosphere fosters growth.
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Cupertino, CA
Average Salary: $222,609
Cupertino, home to Apple, provides a competitive edge for those in machine learning. The work environment encourages collaboration and innovation. The city’s tech culture is vibrant and forward-thinking.
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Redwood City, CA
Average Salary: $219,679
Redwood City offers a blend of tech and creativity. Companies like Oracle and Dropbox seek skilled professionals. The work culture is inclusive and innovative, making it a great place to advance your career.
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Menlo Park, CA
Average Salary: $219,177
Menlo Park is a hub for tech innovation. Facebook’s presence adds to the city’s dynamic job market. The area emphasizes cutting-edge projects and technological advancements.
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Foster City, CA
Average Salary: $218,993
Foster City features a mix of tech and biotech companies. It offers a collaborative work environment. Professionals here enjoy opportunities to work on impactful projects.
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Palo Alto, CA
Average Salary: $218,190
Palo Alto is known for its tech innovation. Companies like Hewlett Packard Enterprise offer exciting roles. The city’s entrepreneurial spirit creates a stimulating work environment.
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San Francisco, CA
Average Salary: $216,942
San Francisco is a bustling tech center with many opportunities. Companies like Salesforce and LinkedIn provide diverse roles. The city's fast-paced environment is ideal for tech professionals.
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Sunnyvale, CA
Average Salary: $208,038
Sunnyvale offers a range of tech jobs with companies like eBay and VMware. The city emphasizes innovation and offers a dynamic work environment. It's a great place to grow in your career.
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Oakland, CA
Average Salary: $188,550
Oakland provides a unique blend of tech and culture. Companies here focus on diverse projects. The city offers a growing job market with plenty of opportunities for professionals.
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What are the best paying companies for a Machine Learning Engineer in San Mateo, CA?

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Roblox
Average Salary: $290,888
Roblox is a leading gaming platform for millions of players worldwide. The company creates immersive gaming experiences through innovative technology. Machine Learning Engineers at Roblox in San Mateo work on projects that make games more engaging for players. They apply machine learning to improve gameplay and develop new features.
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Citizens Health
Average Salary: $216,250
Citizens Health is a healthcare technology company that uses data to improve patient care. Machine Learning Engineers at Citizens Health in San Mateo focus on developing algorithms to analyze health data. They work on projects that help healthcare providers deliver better care to patients. Their work has a significant impact on the health and well-being of individuals.
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Guidewire Software
Average Salary: $155,600
Guidewire Software specializes in software for the insurance industry. Machine Learning Engineers at Guidewire Software in San Mateo create tools that help insurance companies manage risks. They develop models that predict insurance claims and assess potential risks. Their work helps insurance companies provide better service to their customers.
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Ikigai Lab
Average Salary: $155,000
Ikigai Lab is an innovation lab that works with companies to develop new technologies. Machine Learning Engineers at Ikigai Lab in San Mateo collaborate with various businesses to solve complex problems. They work on projects that range from improving business processes to creating new products. Their work at Ikigai Lab pushes the boundaries of what is possible with machine learning.
What are the best paying Machine Learning Engineer related jobs in San Mateo, CA?

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Data Scientist
Average Salary: $240,270
Professionals in this role use data to drive decisions. They analyze large sets of data to find trends and insights. Companies like Google and Facebook hire these experts to improve their services.
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Data Engineer
Average Salary: $239,443
These specialists design and maintain systems for data storage. They ensure data is easily accessible and accurate. Leading tech companies in Silicon Valley seek these professionals.
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Solutions Architect
Average Salary: $221,443
These experts design and plan technology solutions. They work with teams to create efficient systems. Big companies often hire them to solve complex challenges.
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Robotics Engineer
Average Salary: $208,722
These engineers design and build robots. They work on hardware and software to make robots functional. Tech giants in the area employ these skilled workers.
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Integration Engineer
Average Salary: $206,115
They focus on combining different systems and software. This role ensures smooth operations between various components. Many firms hire these professionals to enhance their tech setups.
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Information Technology Director
Average Salary: $202,075
These leaders manage a company's tech strategy. They oversee IT projects and teams. They ensure technology aligns with business goals. Many enterprises look for experienced IT directors.
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