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Internship Mathematical Optimization Jobs in California

Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, Mathematics ... internships, or research. Experience with profiling/performance analysis tools (e.g., Xcode ...

Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, Mathematics ... internships, or research. Experience with profiling/performance analysis tools (e.g., Xcode ...

SW ML Optimization Engineer

Cupertino, CA

$129K - $225K/yr

  • Medical

  • Dental

  • Retirement

Preferred Qualifications Solid foundation in mathematics, algorithms, and/or computer architecture ... internships, or research. Experience with profiling/performance analysis tools (e.g., Xcode ...

AI/ML Research Internship

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others ... optimization and decision theory * Research-Focused internships: Currently pursuing a doctoral ...

AI/ML Research Internship

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others ... optimization and decision theory * Research-Focused internships: Currently pursuing a doctoral ...

This role focuses on developing and optimizing compute architectures that deliver exceptional ... Math competitions (AIME, AMC, etc) We encourage you to apply even if you do not believe you meet ...

This role focuses on developing and optimizing compute architectures that deliver exceptional ... Math competitions (AIME, AMC, etc) We encourage you to apply even if you do not believe you meet ...

Numerical Optimization * * Solve constrained linear and nonlinear optimization problems ... Databricks We recognize that applying to internships can be a daunting process, especially if you ...

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Internship Mathematical Optimization information

What is an internship in mathematical optimization?

An Internship in Mathematical Optimization is a temporary position for students or recent graduates to gain practical experience applying mathematical techniques to solve optimization problems. These internships typically involve tasks such as modeling real-world scenarios, developing algorithms, and using software tools to find optimal solutions in areas like logistics, finance, or engineering. Interns often work with experienced professionals, contributing to research projects or business applications while building their technical skills. The role usually requires a solid foundation in mathematics, programming, and analytical thinking.

What types of projects can I expect to work on during an internship in mathematical optimization?

As an intern in Mathematical Optimization, you will typically work on real-world problems that involve designing, implementing, and testing optimization algorithms. Projects may include tasks such as modeling supply chain logistics, scheduling operations, or improving resource allocation for various industries. You'll likely collaborate with data scientists, engineers, and other interns to collect data, build models, and present findings. This hands-on experience helps you develop both technical and teamwork skills, and often includes mentorship from senior optimization experts.

What are the key skills and qualifications needed to thrive in an internship in mathematical optimization?

To thrive in an Internship in Mathematical Optimization, you need a solid background in mathematics, particularly in optimization theory, linear algebra, and programming, usually supported by ongoing or completed studies in applied mathematics, engineering, or a related field. Familiarity with optimization software (like Gurobi or CPLEX), programming languages such as Python or MATLAB, and experience with relevant libraries or frameworks is highly valued. Strong analytical thinking, attention to detail, and effective communication skills help interns stand out when solving complex problems and collaborating with teams. These skills are crucial for developing efficient optimization solutions and contributing meaningfully to research or industry projects.

What is the difference between Internship Mathematical Optimization vs Data Analyst Intern?

AspectInternship Mathematical OptimizationData Analyst Intern
Required CredentialsBasic knowledge of optimization, programming skillsStatistics, data analysis, programming
Work EnvironmentResearch, algorithm development, modelingData collection, reporting, visualization
Industry UsageOperations research, logistics, supply chainBusiness, marketing, finance

Internship Mathematical Optimization focuses on developing and applying algorithms to optimize processes, often in logistics or operations research. Data Analyst Interns analyze and interpret data to support business decisions. While both roles involve data and programming, optimization internships emphasize mathematical modeling, whereas data analysis internships focus on data interpretation and visualization.

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

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

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

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

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

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

What cities in California are hiring for Internship Mathematical Optimization jobs?

Cities in California with the most Internship Mathematical Optimization job openings:

Infographic showing various Internship Mathematical Optimization job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

SW ML Optimization Engineer

Apple

Cupertino, CA • On-site

Full-time

Re-posted 3 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

At Apple, our Platform Architecture group is responsible for connecting our hardware and software into one unified system. You'll collaborate with engineers across Apple to design how all of our technologies work in unison, drive development of our renowned system-on-a-chip architecture and develop forward-looking prototype systems and software.
Description
Our team is driving performance enhancements in application and system software and developing novel algorithms to deliver integrated, highly optimized solutions based on Apple Silicon.
In this role, you will analyze existing and new workloads to identify performance bottlenecks in the hardware and/or software. Working with your colleagues, you will address performance limitations and provide recommendations for Apple hardware and software improvements. In addition to working directly with developers, you will identify patterns of performance challenges on Apple silicon, emerging new usage models, and provide feedback to the silicon and software teams for potential improvements.
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Electrical Engineering, or a related quantitative field (or equivalent practical experience).
Experience with GPU or parallel programming-e.g., Metal, OpenCL, CUDA, or similar-through coursework, personal projects, internships, or research.
Experience with profiling/performance analysis tools (e.g., Xcode Instruments, VTune, Nsight Compute, or equivalent) and basic performance analysis concepts.
Development experience in Python, C or C++.
Preferred Qualifications
Solid foundation in mathematics, algorithms, and/or computer architecture fundamentals.
Experience writing or tuning compute kernels (e.g., GEMM, attention, or other numerically intensive routines).
Exposure to ML frameworks such as PyTorch, and to AI/ML, graphics, or HPC workloads and benchmarks.
Coursework or projects involving parallel computing, numerical methods, signal processing, or performance optimization.
Interest in (or exposure to) the deeper stack - drivers, firmware, compilers, or low-level libraries.
Interest in Apple Silicon and its frameworks (Metal, MLX, Core ML).
Curiosity about hardware/software co-design and a demonstrated drive to learn independently.
Strong communication skills and the ability to collaborate effectively across teams.

What Apple employees say

Pay

Benefits

Hours and flexibility

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976