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Mathematical Engineer Jobs in California (NOW HIRING)

Cognition

Security Engineer

San Francisco, CA · On-site

$260K - $300K/yr

Degree from a top-tier university: BS, MS, or equivalent in Computer Science, Mathematics, Engineering, or a related technical discipline from a highly selective program. Compensation & Benefits

South County Math Tutor

Math Tutor

Anaheim, CA

Credentialed Teachers, Substitute Teachers, Math Majors, Elementary Education Majors, Special Education Teachers and Math Related Degrees (Physics, Engineering etc) are encouraged to apply. Apply ...

Avathon

Senior AI Engineer

Pleasanton, CA · On-site

$116K - $159K/yr

Required : • Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field • Minimum 5 years of hands-on industry experience in AI ...

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Mathematical Engineer information

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$36K

$105.9K

$135.7K

How much do mathematical engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for mathematical engineer in California is $105,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $134,200.00 per year, depending on experience, location, and employer.

What is a mathematical engineer?

A Mathematical Engineer applies advanced mathematical concepts, computational techniques, and algorithms to solve complex engineering and technical problems. They work in various industries such as finance, data science, cryptography, and simulation modeling. Their role involves designing mathematical models, optimizing systems, and analyzing large datasets to improve efficiency and decision-making. They often collaborate with engineers, scientists, and analysts to develop innovative solutions for real-world challenges.

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

To thrive as a Mathematical Engineer, you need a strong background in advanced mathematics, mathematical modeling, and engineering principles, usually supported by a degree in mathematics, engineering, or a related field. Proficiency with programming languages such as MATLAB, Python, or R, and familiarity with simulation or modeling software is often expected. Exceptional problem-solving abilities, effective communication, and teamwork skills are highly valued in this interdisciplinary role. These competencies enable Mathematical Engineers to develop robust solutions for complex engineering challenges and collaborate successfully with diverse technical teams.

What are common challenges faced by mathematical engineers in their daily work?

Mathematical Engineers often tackle challenges such as translating real-world engineering problems into precise mathematical models and ensuring those models accurately represent system behaviors. Working with large datasets, complex algorithms, or advanced simulations requires strong analytical skills and attention to detail. Close collaboration with other engineers, researchers, and technical experts is common, so balancing technical depth with clear communication can be demanding but rewarding. Overcoming these challenges helps Mathematical Engineers deliver impactful, data-driven solutions in industries like aerospace, finance, or manufacturing.

What does a mathematical engineer do?

A mathematical engineer applies advanced mathematical techniques and models to solve complex problems in engineering, science, and technology. They often work with data analysis, simulations, and algorithm development using tools like MATLAB or Python, and may be involved in research, product development, or optimization tasks.

What are the most commonly searched types of Mathematical Engineer jobs in California?

The most popular types of Mathematical Engineer jobs in California are:

What are popular job titles related to Mathematical Engineer jobs in California?

For Mathematical Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Mathematical Engineer jobs in California look for?

The top searched job categories for Mathematical Engineer jobs in California are:

What cities in California are hiring for Mathematical Engineer jobs?

Cities in California with the most Mathematical Engineer job openings:

Mathematical Engineer jobs near you
Infographic showing various Mathematical Engineer job openings in California as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $105,877 per year, or $50.9 per hour.

Machine Learning Engineer, Search Quality

San Francisco, CA • On-site

ML6
See more jobs at ML6external

$230K/yr

Full-time

Re-posted 2 days ago

Job description

The Opportunity:
Our client, a category-defining AI platform company based in the San Francisco Bay Area, is seeking a Machine Learning Engineer (Search Quality) to help build the next generation of AI-powered product experiences.
In this role, you'll focus on improving ranking, relevance, and personalization within large-scale search systems. You'll develop new signals, train advanced models, and explore innovative ways of integrating large language models into retrieval systems, directly shaping how users discover and interact with information.
What You'll Be Doing:
  • Develop and introduce novel ranking signals to improve personalization and relevance across the search experience.
  • Train and optimize machine learning models that capture complex interactions within large-scale ranking systems.
  • Design and implement domain-adaptation strategies to tailor language models to specialized data environments.
  • Explore innovative approaches for combining LLMs with search infrastructure to answer nuanced and multi-step queries.
  • Analyze data and run experiments to continuously improve retrieval quality and evaluation metrics.
  • Write clean, maintainable, and well-tested production code.
  • Collaborate closely with cross-functional partners to translate technical improvements into meaningful product impact.
  • Contribute to a strong engineering culture through knowledge sharing and mentorship.

What You'll Need To Be Successful:
  • 2-5 years of professional experience in machine learning or software engineering.
  • Bachelor's degree in Computer Science, Mathematics, Engineering, or a related quantitative field.
  • Hands-on experience working with search systems, recommendation engines, natural language processing, or other large-scale ML-driven systems.
  • Strong analytical skills with comfort working directly with data to improve model performance.
  • Proven ability to design, train, evaluate, and deploy production-ready ML models.
  • Proficiency in an ML framework of your choice (e.g., PyTorch, TensorFlow, etc.).
  • Strong programming skills in languages such as Python, Go, Java, or C++.
  • Ability to thrive in a collaborative, fast-moving environment.
  • Ownership mindset with a proactive approach to experimentation and continuous improvement.

Compensation Range: $150,000 - $265,000 + Equity.

Apply