Full-Time

PhD Machine Learning Engineer

Confirmed live in the last 24 hours

Stripe

Stripe

10,001+ employees

Online payment processing solutions provider

Fintech
Financial Services

Entry

San Francisco, CA, USA + 1 more

More locations: New York, NY, USA

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Python
Apache Spark
Pandas
Scala
NumPy
Requirements
  • A deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2024 or spring/summer 2025.
  • Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn.
  • Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.
  • Demonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders.
  • A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently.
  • Two years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning.
  • Experience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects.
  • Familiarity with navigating new codebases and managing work across different programming languages.
  • Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences.
Responsibilities
  • Develop and deploy large-scale machine learning systems that drive significant business value across various domains.
  • Engage in the end-to-end process of designing, training, improving, and launching machine learning models.
  • Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally.
  • Collaborate across teams to incorporate feedback and proactively seek solutions to challenges.
  • Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively.

Stripe provides online payment processing solutions for internet businesses through a suite of payment APIs. These APIs enable businesses to accept and process payments easily over the internet. Stripe serves a diverse clientele, including small startups and large enterprises, across various sectors such as e-commerce, subscription services, and marketplaces. The company focuses on simplifying and securing online payments, charging fees based on transaction volume. Its offerings include core payment services, billing tools for subscriptions, solutions for managing payments in marketplaces, and fraud prevention tools. Stripe's goal is to make online transactions seamless and secure for businesses of all sizes.

Company Stage

Private

Total Funding

$8.5B

Headquarters

South San Francisco, California

Founded

2010

Growth & Insights
Headcount

6 month growth

10%

1 year growth

35%

2 year growth

33%
Simplify Jobs

Simplify's Take

What believers are saying

  • Stripe's partnership with Remote expands its reach in global contractor payments.
  • Integration of stablecoins like USDC positions Stripe as a leader in crypto payments.
  • Stripe's collaboration with Allium enhances its blockchain analytics capabilities.

What critics are saying

  • Increased competition from platforms like Flexa and Coinbase in stablecoin payments.
  • Regulatory scrutiny may rise with the growing adoption of stablecoins in payroll.
  • Blockchain data security risks could impact Stripe's partnership with Allium.

What makes Stripe unique

  • Stripe offers a comprehensive suite of payment APIs for online businesses.
  • Stripe supports stablecoin payments, enhancing its appeal in the crypto-friendly market.
  • Stripe's fraud prevention tools, like Radar, provide robust security for online transactions.

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Benefits

Inclusive coverage - We provide a thoughtful and balanced set of benefits that allow Stripes to be their best selves and do great work. Whether that means offering comprehensive mental, physical, and medical health plans, supporting Stripes’ financial futures, providing fertility benefits and parental leave, or making sure Stripes have access to healthy food at the office, our robust programs put Stripes and their families first.

Growth by way of learning - We are voracious learners and teachers. Our Education team delivers an onboarding and product training curriculum for all new Stripes, and hosts expert-led courses on things like project management fundamentals and macroeconomics. Beyond the formal program, Stripes are constantly sharing knowledge with each other through conversation, documentation, reading groups, and informal talks.

A principled approach to food - The food program holds a special place in Stripe’s history and future. These Stripes come to our kitchen from a breadth of backgrounds and experiences, and focus on one proposition—respect. This is apparent not only in the local ingredients they work with or in the gracious, teamwork-driven buffet lines, but also in their approach to growing a global team through sustainable food practices and minimal waste.