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Urgent! PhD Machine Learning Engineer, Intern Job Opening In South San Francisco – Now Hiring Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses.
Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities.
Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead.
That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
What you’ll do
About the internship
Stripe's Applied ML, Data Science, Risk, and Payments organizations are excited to offer PhD machine learning engineering internships for the summer of 2026.
This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior.
As an intern, you'll tackle challenging problems at the intersection of finance, technology, and data.
You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data.
Responsibilities
Who you are
Minimum requirements
Preferred qualifications
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Application requirements
Please submit the following with your application:
Join us for an unforgettable summer internship and help shape the future of global commerce.
At Stripe, you won't just be working on theoretical projects; you'll make a tangible impact on the world's economic infrastructure.
In-office expectations
Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users.Pay and benefits
The annual US base salary range for this role is $123,500 - $161,525.
For sales roles, the range provided is the role’s On Target Earnings (OTE) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location.
Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.
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Unlock Your PhD Machine Potential: Insight & Career Growth Guide
Real-time PhD Machine Jobs Trends in South San Francisco, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for PhD Machine in South San Francisco, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 10457 jobs in United States and 514 jobs in South San Francisco. This comprehensive analysis highlights market share and opportunities for professionals in PhD Machine roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Stripe is currently hiring and seeking a PhD Machine Learning Engineer, Intern to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: PhD Machine Learning Engineer, Intern Jobs South San Francisco.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Stripe adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a PhD Machine Learning Engineer, Intern Jobs United States varies, but the pay scale is rated "Standard" in South San Francisco. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for PhD Machine Learning Engineer, Intern typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your PhD Machine Learning Engineer, Intern interview at Stripe, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Stripe's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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