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Scale AI
San Francisco, CA, United States
The goal of the ML team at Scale is to develop machine learning solutions advancing the company mission. Our current focus areas are computer vision (2D/3D detection, 2D/3D segmentation, object tracking), meta-learning (e.g. semi-supervised learning, active learning), and Natural Language Processing. You’ll be working on a combination of deeply tec
Job Source: Scale AICohere
San Francisco, CA, United States
Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each
Job Source: CoherePlaid
San Francisco, CA, United States
We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We wo
Job Source: PlaidSamsara
San Francisco, CA, United States
Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the
Job Source: SamsaraLUCA
San Francisco, CA, United States
We are looking for an intern to build data science and machine learning solutions for our clients’ complex and real-world problems. You will work directly with the founders, engineering team, and a set of economist advisors. Note that this is an in-person role based in San Francisco. Customers come to Luca because they want to optimize their busin
Job Source: LUCARippling
San Francisco, CA, United States
About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding,
Job Source: RipplingBe Golden
San Francisco, CA, United States
[Contract] Software Engineering - Machine Learning at Be Golden (United States) | BEAMSTART Jobs Software Engineering - Machine Learning Be Golden United States Date Posted 19 May, 2023 Work Location San Francisco, United States Salary Offered $20 — $25 yearly Job Type Contract Experience Required 1+ years Remote Work Yes Stock Options No Vac
Job Source: Be GoldenNLP PEOPLE
San Francisco, CA, United States
Twilio is looking for a leader, innovator, and team builder in applied Machine Learning who will invent new ways for Machine Learning to improve and power the next generation of communication products. You will lead teams in natural language processing, speech recognition, dialog management, and general machine learning with a focus on high availab
Job Source: NLP PEOPLESan Francisco, CA, United States
Who we are
About Stripe
Stripe's mission is to increase the GDP of the internet, and we empower businesses of every size to start, run, and scale their operations with world-class financial tools. Our work impacts millions of users around the globe, and we're looking for applied researchers to join our team.
What you’ll do
About the internship
Stripe's Applied ML organization is excited to offer PhD machine learning engineering internships for the summer of 2024. 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
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.
Who you are
Minimum requirements
We're Looking for Someone Who Has:
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 Ruby, JavaScript, Scala, and Go is beneficial, but not required.
Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML Operations, and possibly experience in Natural Language Processing 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.
Preferred qualifications
You Might Also Have:
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.
Application requirements
Please submit the following with your application:
A detailed resume or LinkedIn profile showcasing your work history.
Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios.
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.
Email Alert for PhD, Machine Learning Engineering Intern jobs in San Francisco, CA, United States
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