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Stripe
San 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 Str
Job Source: StripePostscript
San Francisco, CA, United States
As the Sr. Director of AI at Postscript , you will spearhead the strategic integration and management of AI and ML capabilities across our product lines and within new product lines. You will lead embedded AI engineering resources ensuring that artificial intelligence and machine learning become cornerstone competencies that drive innovation acros
Job Source: PostscriptScale 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 AIPlaid
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: PlaidCohere
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: CohereDatabricks
San Francisco, CA, United States
CSQ125R79 As a Staff Architect, you'll apply your expertise in the field of data engineering and/or machine learning along with your passion for enabling others to lead the strategy and design of Databricks product enablement offerings - if you consider training as a product, you are the product manager. The strategy that you define will enable al
Job Source: DatabricksPrimer
San Francisco, CA, United States
Primer exists to make the world a safer place. We do this by providing trusted decision-ready AI to the world's most critical organizations. Our software enables leaders, operators, and analysts to better understand the changing world around us in real time and make informed decisions when the stakes are high. Primer has offices in Arlington, VA
Job Source: PrimerPrimer
San Francisco, CA, United States
Primer exists to make the world a safer place. We do this by providing trusted decision-ready AI to the world's most critical organizations. Our software enables leaders, operators, and analysts to better understand the changing world around us in real time and make informed decisions when the stakes are high. Primer has offices in Arlington, VA
Job Source: PrimerSan 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 business through pricing. As a Data Science Intern, you will be responsible for solving our clients’ real-world problems by delivering data products for both internal and external use.
This is a “full stack” position, so you can expect to do some or all of:
Understand customer data and create ingestion and ETL pipelines
Use this data to design, develop, and deploy ML models
Work with the backend team to make insights from these models available for internal APIs
Design and analyze experiments to test the efficacy of pricing and promotion changes
We’re open to any candidate that is excited to learn more about machine learning powered solutions for price optimization. You don't need to know how to do all of the above - just be ready and excited to work hard and learn.
Bonus Qualifications, But Absolutely Not Required Are
Pursuing a Ph.D., M.S. or Bachelors degree in Computer Science, Statistics, Economics, Machine Learning or other quantitative fields.
Previous work experience as a data scientist or machine learning engineer.
Our Technical Stack
Backend: Typescript
Frontend: Typescript, React
Infra: Postgres, Vercel
Data Science: Python
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Email Alert for Data Science/ Machine Learning Engineering Intern jobs in San Francisco, CA, United States
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