Minimum Qualifications 5+ years of experience building machine learning and quantitative optimization capabilities across many different product areas at scale Experience in machine learning ...
Minimum Qualifications 5+ years of experience building machine learning and quantitative optimization capabilities across many different product areas at scale Experience in machine learning ...
Summer 2027 Intern - Machine Learning Engineering
San Jose, CA · On-site +1
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
Summer 2027 Intern - Machine Learning Engineering
San Jose, CA · On-site +1
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
Summer 2027 Intern - Machine Learning Engineering
San Jose, CA · On-site
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
Summer 2027 Intern - Machine Learning Engineering
San Jose, CA · On-site
$40/hr
As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... This internship is primarily a remote opportunity. However, if you are located near one of our ...
We expect our interns to not only excel in their field but also to rapidly adapt and thrive in our ... Design and implement state-of-the-art machine learning algorithms using robust, efficient Python ...
We expect our interns to not only excel in their field but also to rapidly adapt and thrive in our ... Design and implement state-of-the-art machine learning algorithms using robust, efficient Python ...
Minimum Qualifications 5+ years of experience building machine learning and quantitative optimization capabilities across many different product areas at scale Experience in machine learning ...
Minimum Qualifications 5+ years of experience building machine learning and quantitative optimization capabilities across many different product areas at scale Experience in machine learning ...
(General Hire) Machine Learning Engineer Intern (TikTok-Recommendation) - 2027 Summer
San Jose, CA · On-site
$45/hr
Our internship program offers students hands-on experience, industry exposure, and opportunities to ... machine learning solutions that tackle high-priority product challenges related to content ...
(General Hire) Machine Learning Engineer Intern (TikTok-Recommendation) - 2027 Summer
San Jose, CA · On-site
$45/hr
Our internship program offers students hands-on experience, industry exposure, and opportunities to ... machine learning solutions that tackle high-priority product challenges related to content ...
Machine Learning Scientist Intern (TikTok-Recommendation) - 2027 Start (PhD)
San Jose, CA · On-site
$60/hr
Our dynamic internship experience blends hands-on learning, enriching community-building and ... machine learning solutions that tackle high-priority product challenges related to content ...
Machine Learning Scientist Intern (TikTok-Recommendation) - 2027 Start (PhD)
San Jose, CA · On-site
$60/hr
Our dynamic internship experience blends hands-on learning, enriching community-building and ... machine learning solutions that tackle high-priority product challenges related to content ...
Machine learning research at Netflix improves various aspects of our business, including ... About the Internship Program At Netflix, we offer a personalized experience for interns, and our ...
Machine learning research at Netflix improves various aspects of our business, including ... About the Internship Program At Netflix, we offer a personalized experience for interns, and our ...
Machine learning research at Netflix improves various aspects of our business, including ... About the Internship Program At Netflix, we offer a personalized experience for interns, and our ...
Machine learning research at Netflix improves various aspects of our business, including ... About the Internship Program At Netflix, we offer a personalized experience for interns, and our ...
Machine learning research at Netflix improves various aspects of our business, including ... About the Internship Program At Netflix, we offer a personalized experience for interns, and our ...
Machine learning research at Netflix improves various aspects of our business, including ... About the Internship Program At Netflix, we offer a personalized experience for interns, and our ...
Machine learning research at Netflix improves various aspects of our business, including ... About the Internship Program At Netflix, we offer a personalized experience for interns, and our ...
Machine learning research at Netflix improves various aspects of our business, including ... About the Internship Program At Netflix, we offer a personalized experience for interns, and our ...
Machine learning research at Netflix improves various aspects of our business, including ... About the Internship Program At Netflix, we offer a personalized experience for interns, and our ...
Machine learning research at Netflix improves various aspects of our business, including ... About the Internship Program At Netflix, we offer a personalized experience for interns, and our ...
Machine learning research at Netflix improves various aspects of our business, including ... About the Internship Program At Netflix, we offer a personalized experience for interns, and our ...
Machine learning research at Netflix improves various aspects of our business, including ... About the Internship Program At Netflix, we offer a personalized experience for interns, and our ...
Our internship program offers students hands-on experience, industry exposure, and opportunities to ... Responsibilities: - Build highly scalable machine learning systems and state-of-the-art machine ...
Our internship program offers students hands-on experience, industry exposure, and opportunities to ... Responsibilities: - Build highly scalable machine learning systems and state-of-the-art machine ...
Machine Learning Engineer Intern (Ads Signal & Measurement) - 2027 Summer
San Jose, CA · On-site
$45/hr
Interns will gain practical experience, explore potential career paths, and participate in social ... Responsibilities: - Build and improve machine learning models for signal quality - anomaly ...
Machine Learning Engineer Intern (Ads Signal & Measurement) - 2027 Summer
San Jose, CA · On-site
$45/hr
Interns will gain practical experience, explore potential career paths, and participate in social ... Responsibilities: - Build and improve machine learning models for signal quality - anomaly ...
We expect our interns to not only excel in their field but also to rapidly adapt and thrive in our ... Design and implement state-of-the-art machine learning algorithms using robust, efficient Python ...
We expect our interns to not only excel in their field but also to rapidly adapt and thrive in our ... Design and implement state-of-the-art machine learning algorithms using robust, efficient Python ...
We expect our interns to not only excel in their field but also to rapidly adapt and thrive in our ... Design and implement state-of-the-art machine learning algorithms using robust, efficient Python ...
We expect our interns to not only excel in their field but also to rapidly adapt and thrive in our ... Design and implement state-of-the-art machine learning algorithms using robust, efficient Python ...
Minimum Qualifications 8+ years of experience in machine learning, statistics, and quantitative optimization, with at least 2-3 years as a tech lead or at least 1 year as an engineering manager.
Minimum Qualifications 8+ years of experience in machine learning, statistics, and quantitative optimization, with at least 2-3 years as a tech lead or at least 1 year as an engineering manager.
Director, Machine Learning - User Value
Mountain View, CA · On-site +1
$250K - $325K/yr
An advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience. Gross pay annually, Mountain View, SF/Bay: $250 ...
Director, Machine Learning - User Value
Mountain View, CA · On-site +1
$250K - $325K/yr
An advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience. Gross pay annually, Mountain View, SF/Bay: $250 ...
Responsibilities : • Develop, optimize, and deploy lightweight machine learning models for edge ... and interns. Preferred : • Understanding of ML compiler and runtime design. • Experience ...
Responsibilities : • Develop, optimize, and deploy lightweight machine learning models for edge ... and interns. Preferred : • Understanding of ML compiler and runtime design. • Experience ...
Internship Machine Learning Quant information
See Santa Clara, CA salary details
$29.9K - $36.6K
5% of jobs
$38.9K is the 25th percentile. Wages below this are outliers.
$36.6K - $43.3K
59% of jobs
$43.3K - $50K
9% of jobs
$50.5K is the 75th percentile. Wages above this are outliers.
$50K - $56.6K
17% of jobs
$56.6K - $63.3K
4% of jobs
$63.3K - $70K
2% of jobs
$70K - $76.7K
3% of jobs
$76.7K - $83.3K
0% of jobs
$83.3K - $90K
0% of jobs
$90K - $96.7K
0% of jobs
$96.7K - $103.4K
0% of jobs
$29.9K
$50K
$103.4K
How much do internship machine learning quant jobs pay per year?
As of Sep 1, 2026, the average yearly pay for internship machine learning quant in Santa Clara, CA is $50,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,200.00 and $54,000.00 per year, depending on experience, location, and employer.
What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?
| Aspect | Internship Machine Learning Quant | Data Scientist Intern |
|---|---|---|
| Required Credentials | Strong programming skills, basic finance knowledge, coursework in machine learning | Statistics, programming, domain knowledge, coursework in data analysis |
| Work Environment | Financial firms, hedge funds, quantitative trading teams | Tech companies, startups, research labs |
| Industry Usage | Finance, trading, quantitative research | Technology, marketing, healthcare analytics |
| Common Search Intent | Internship roles in finance with machine learning focus | Internship roles in data science across industries |
Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.
What are the most commonly searched types of Machine Learning Quant jobs in Santa Clara, CA?
The most popular types of Machine Learning Quant jobs in Santa Clara, CA are:
What are popular job titles related to Internship Machine Learning Quant jobs in Santa Clara, CA?
For Internship Machine Learning Quant jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning Quant jobs in Santa Clara, CA look for?
The top searched job categories for Internship Machine Learning Quant jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Internship Machine Learning Quant jobs?
Cities near Santa Clara, CA with the most Internship Machine Learning Quant job openings:
Senior Machine Learning Scientist - Ad Campaign Optimization
Cupertino, CA • On-site
Apple •
Computer and Electronic Product Manufacturing • 10K+ employees10,000+ employees
8.1
Based on 680 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
People enjoy working here
Good employer
Recommended by students
Paid breaks
Recommended by parents
Full-time
Posted 20 days ago
Job description
At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass.
Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.
We are seeking a self-motivated individual that will build out the next generation of our ads platforms and ensure that Apple provides the most relevant and high quality ads experience while maintaining a healthy marketplace. You should have experience developing and implementing machine learning or optimization algorithms, ideally within the ads space, recommendations, or search relevance. You will have an excellent understanding of scalable architectures and thrive working in Agile environments.
Description
In this role, you will design and build scalable solutions that enable advertisers to optimize for their campaign goals and performance on the Apple Ads. You will have the opportunity to build the next generation solutions for budget and bid optimization that enable driving optimal campaign performance and advertiser experience. You will have the opportunity to apply your ability to move the state of the art techniques in a fast growing business that positively impacts publishers, developers and Apple users at global scale. The ability to be a great teammate under tight deadline constraints is key to success.
Minimum Qualifications
5+ years of experience building machine learning and quantitative optimization capabilities across many different product areas at scale
Experience in machine learning, quantitative methods, control systems, or reinforcement learning
Ability to apply and implement research concepts, ultimately in production quality code
Experience defining clear, testable research hypotheses, including intended impact on the business
Deep knowledge of design of experiments, online experimentation approaches, preferably at scale
Ability to formulate and advocate for R&D objectives and results to cross-functional team members including executive business leadership and product management
Experience contributing and/or reviewing research for top conferences and publications
Deep fluency in Java or Python.
Experience with Spark, Hadoop or other distributed frameworks.
Masters in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry.
Preferred Qualifications
Experience in ads optimization, recommendations, or search relevance optimization is highly preferred
PhD in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry.
Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.
We are seeking a self-motivated individual that will build out the next generation of our ads platforms and ensure that Apple provides the most relevant and high quality ads experience while maintaining a healthy marketplace. You should have experience developing and implementing machine learning or optimization algorithms, ideally within the ads space, recommendations, or search relevance. You will have an excellent understanding of scalable architectures and thrive working in Agile environments.
Description
In this role, you will design and build scalable solutions that enable advertisers to optimize for their campaign goals and performance on the Apple Ads. You will have the opportunity to build the next generation solutions for budget and bid optimization that enable driving optimal campaign performance and advertiser experience. You will have the opportunity to apply your ability to move the state of the art techniques in a fast growing business that positively impacts publishers, developers and Apple users at global scale. The ability to be a great teammate under tight deadline constraints is key to success.
Minimum Qualifications
5+ years of experience building machine learning and quantitative optimization capabilities across many different product areas at scale
Experience in machine learning, quantitative methods, control systems, or reinforcement learning
Ability to apply and implement research concepts, ultimately in production quality code
Experience defining clear, testable research hypotheses, including intended impact on the business
Deep knowledge of design of experiments, online experimentation approaches, preferably at scale
Ability to formulate and advocate for R&D objectives and results to cross-functional team members including executive business leadership and product management
Experience contributing and/or reviewing research for top conferences and publications
Deep fluency in Java or Python.
Experience with Spark, Hadoop or other distributed frameworks.
Masters in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry.
Preferred Qualifications
Experience in ads optimization, recommendations, or search relevance optimization is highly preferred
PhD in Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field with experience building production systems or have equivalent experience working with large data science / machine learning projects in industry.
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
