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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: StripePlaid
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: CohereLUCA
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: LUCASkale Talent
San Francisco, CA, United States
This is a very exciting startup applying deep learning and vision to content creation. The application enables creators to create Hollywood-quality content with their phone. They're working on generative 3D rendering. The founding team is exceptional, ex-CTO of Carbon VM Ware App Security, ex-CTO of Sony, VP of Eng from Warner Bros. The team has h
Job Source: Skale Talentcovariant.ai
Emeryville, CA, United States
THE COMPANY Our mission is to build the Covariant Brain, a universal AI to give robots the ability to see, reason and act on the world around them. Bringing AI from research in the lab to the infinite variability and constant change of our customer's real-world operations requires new ideas, approaches and techniques. Success in the real world re
Job Source: covariant.aiPear VC
San Francisco, CA, United States
Job Overview At Advex, we're working on solving the hardest problem in all of computer vision - data collection. In order to train a reliable AI model, you need access to the right training data. The inability to gather the right data has been the primary obstacle in global adoption of computer vision in mission critical industries like manufactur
Job Source: Pear VCPear VC
San Francisco, CA, United States
About the Role Be a core contributor to clinical grade deep learning products Architect key components of the deep learning platform Train robust and interpretable deep learning models for impactful medical tasks Design purpose built datasets alongside medical oncologists to tackle clinically relevant questions Build full stack deep learning solut
Job Source: Pear VCSan 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 technical ML applications in production and cutting edge research problems. Working at Scale will give you opportunities to work with our wide customer base which includes leading research teams and exposure to a wide range of problems within machine learning.
We are building a large hybrid human-machine system in service of ML pipelines for dozens of industry-leading customers. Our machine learning models form the basis for Scale’s expansion and future product strategy. We currently complete billions of tasks a month, and will continue to grow to support more complex use cases and more advanced ML powered products.
Example Projects:
Research and develop machine learning solutions to assist humans in the loop
Aid in the creation of high quality ground truth data with speed and accuracy
Work with public Large Language models to benchmark and make custom versions for internal use cases
Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers
Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics
Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines
Work with massive datasets to develop both generic models as well as fine tune models for specific products
Required to have:
Currently enrolled in a PhD or MS Program with a focus on Machine Learning, Deep Learning, or Computer Vision with a graduation date in Fall 2024 or Spring 2025
Experience with one or more general purpose programming languages, including: Python, Javascript, or similar
Ability to speak and write in English fluently
Ideally you’d have:
Previous internship experience around Machine Learning, Deep Learning, or Computer Vision
Experience as a researcher, including internships, full-time, or at a lab
Publications in top-tier journals such as NeurIPS, ICLR, CVPR, AAAI, etc. or contributions to open source projects
About Us:
At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision .
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.
Email Alert for Machine Learning Research Engineering Intern jobs in San Francisco, CA, United States
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