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Internship Software Engineer Applied Math Jobs in Santa Clara, CA

Socket.dev

Software Engineer, Applied ML

Cupertino, CA · On-site

We are a team motivated by shipping software and getting technology in to the hands of our users ... Bachelor's or graduate degree in Computer Science, Computer Engineering, Mathematics, or a related ...

New

Apple

Software Engineer, Applied ML

Cupertino, CA · On-site

We are a team motivated by shipping software and getting technology in to the hands of our users ... Bachelor's or graduate degree in Computer Science, Computer Engineering, Mathematics, or a related ...

Geico

Sr. Software Engineer - Applied AI

Palo Alto, CA · On-site

$144K - $189K/yr

Great Company, Great Culture, Great Rewards, and Great Careers. Sr. Software Engineer - Applied AI Position Summary GEICO is seeking an experienced Sr. Software Engineer to join our Unified ...

GEICO

Sr. Software Engineer - Applied AI

Palo Alto, CA · On-site

$144K - $189K/yr

Great Company, Great Culture, Great Rewards, and Great Careers. Sr. Software Engineer - Applied AI Position Summary GEICO is seeking an experienced Sr. Software Engineer to join our Unified ...

Apple Inc.

Software Engineer, Applied ML

Cupertino, CA · On-site

$129K - $225K/yr

Cupertino, California, United States Software and Services Our team is at the forefront of customer ... Bachelor's or graduate degree in Computer Science, Computer Engineering, Mathematics, or a related ...

New

Applied Materials

Software Engineer

Santa Clara, CA · On-site +1

$152K - $208K/yr

Our Software Engineers are responsible for designing, prototyping, developing, and debugging ... Applied Mathematics, Physics, or a related field. Experience conducting research and turning ideas ...

Apple

Software Engineer, Applied ML

Cupertino, CA · On-site

$129K - $225K/yr

We are a team motivated by shipping software and getting technology in to the hands of our users ... Bachelor's or graduate degree in Computer Science, Computer Engineering, Mathematics, or a related ...

Applied Materials

Software Engineer

Santa Clara, CA · On-site

$152K - $208K/yr

Our Software Engineers are responsible for designing, prototyping, developing, and debugging ... Master's or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a ...

GEICO

Sr. Software Engineer - Applied AI

Palo Alto, CA · On-site +1

$144K - $189K/yr

Great Company, Great Culture, Great Rewards and Great Careers. Sr. Software Engineer - Applied AI Position Summary GEICO is seeking an experienced Sr. Software Engineer to join our Unified ...

Geico

Sr. Software Engineer - Applied AI

Palo Alto, CA · On-site

$144K - $189K/yr

Great Company, Great Culture, Great Rewards and Great Careers. Sr. Software Engineer - Applied AI Position Summary GEICO is seeking an experienced Sr. Software Engineer to join our Unified ...

Amat

Software Engineer

Santa Clara, CA · On-site +1

$152K - $208K/yr

Our Software Engineers are responsible for designing, prototyping, developing, and debugging ... Master's or PhD in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or a ...

Apple

Software Engineer (Applied AI)

Cupertino, CA · On-site

We are looking for a Staff level Software Engineer with experience working with the latest LLM's from OpenAI, Anthropic, Gemini, Mistral, Llama etc. 'and custom fine-tuned models i.e(Defog, Nous ...

Apple

Software Engineer (Applied AI)

Cupertino, CA · On-site

$184K - $324K/yr

We are looking for a Staff level Software Engineer with experience working with the latest LLM's from OpenAI, Anthropic, Gemini, Mistral, Llama etc. 'and custom fine-tuned models i.e(Defog, Nous ...

Apple Inc.

Software Engineer (Applied AI)

Cupertino, CA · On-site

$184K - $324K/yr

Cupertino, California, United States Operations and Supply Chain We are looking for a Staff level Software Engineer with experience working with the latest LLM's from OpenAI, Anthropic, Gemini ...

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Internship Software Engineer Applied Math information

See Santa Clara, CA salary details

$15

$29

$45

How much do internship software engineer applied math jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for internship software engineer applied math in Santa Clara, CA is $29.85, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $33.89 per hour, depending on experience, location, and employer.

What is the difference between Internship Software Engineer Applied Math vs Internship Data Scientist?

AspectInternship Software Engineer Applied MathInternship Data Scientist
Required SkillsProgramming, applied mathematics, algorithmsStatistics, programming, data analysis
Work EnvironmentTech companies, R&D labs, financeTech firms, consulting, research
Common Industry UsageSoftware development, modelingData analysis, predictive modeling

Internship Software Engineer Applied Math focuses on applying mathematical techniques to software development and algorithm design, often in tech and finance sectors. In contrast, Internship Data Scientist emphasizes analyzing data to extract insights, using statistical and machine learning methods. Both roles require programming skills, but their core focus and industry applications differ.

What cities near Santa Clara, CA are hiring for Internship Software Engineer Applied Math jobs?

Cities near Santa Clara, CA with the most Internship Software Engineer Applied Math job openings:

Internship Software Engineer Applied Math jobs near you

Software Engineer, Applied ML

Cupertino, CA • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

Other

Posted yesterday

New

Job description

Our team is at the forefront of customer experiences that happen when devices come close to each other. Part of the Location and Motion organization within Apple, we use all available technologies to provide spatially-aware technology to our users in a way that feels seamless and magical. Our algorithms help you find your items and friends, check the battery status of your AirPods, unlock your Mac, and setup your new wireless accessories. We also help your loved ones know you made it home safely and help protect you against unwanted tracking. We are looking for candidates with outstanding coding skills, passion for location technologies, and experience in system design and wireless applications. If this description fits you, please read on.

Description

Our team is looking for a highly-motivated engineer with excellent software development, quantitative reasoning, and communication skills. Candidates need to be very familiar with modern object-oriented programming languages such as C++ or Swift, as well as having an understanding of common design patterns, debugging techniques, and performant code. Experience with wireless sensing, probabilistic estimation, statistical reasoning, embedded platforms, the iOS ecosystem and large codebases are welcome backgrounds. We are a team motivated by shipping software and getting technology in to the hands of our users. Team members need to be familiar with the entire software development lifecycle: taking an idea from concept, to prototype, to production. Great candidates will be comfortable communicating and promoting their ideas, and eager to learn from others. We have a passion for quality and we regularly focus on the development and improvement of iOS applications and tools for continuous integration, data analysis and visualization. Candidates should be excited about not only building critical pieces of software but also the infrastructure around it. We make a serious commitment to software quality, engineering productivity, and automation. We are out to find an engineer that shares those values. Come join us build the technology which enables incredible spatially-aware experiences to our users now and for the future.

Minimum Qualifications
  • Machine Learning algorithms: Strong grasp of supervised/unsupervised learning, regression, classification, clustering, and model evaluation techniques.
  • Data processing: Skilled in working with large, noisy datasets.
  • Experience with libraries like NumPy, pandas, scikit-learn, and PyTorch or TensorFlow.
  • Hands-on experience with applied probability, statistics, and empirical and/or ML algorithms. Classical estimation, signal processing, and/or training supervised ML models are relevant.
  • Bachelor’s or graduate degree in Computer Science, Computer Engineering, Mathematics, or a related field.
Preferred Qualifications
  • Having worked as an ML practitioner in an industrial settingLaser focus on customer impact and product experience.
  • Deep Learning: Experience with CNNs, RNNs/LSTMs, Transformers, etc. depending on the application domain.
  • Some professional background in location and/or other wireless sensing technologies, including for example, GPS/GNSS, WiFi, indoor localization, and/or discrete localization.
  • Excellent communication, verbally and in writing.
  • You can succeed in a collaborative environment, and are comfortable with what will sometimes feel like a high degree of uncertainty.
  • You can innovate within tight memory, CPU, and schedule constraints, and deliver on time.
  • These constraints motivate you, and ignite your creativity.
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