Email Alert for
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.
Cohere
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: CohereAdobe
San Francisco, CA, United States
Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies int
Job Source: AdobeDatabricks
San Francisco, CA, United States
Company Description: Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the Mosaic AI platform provides maximum flexibility for AI dev
Job Source: DatabricksScale 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 AIStripe
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: StripeLUCA
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: LUCASnorkelAI
San Francisco, CA, United States
We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key t
Job Source: SnorkelAISamsara
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: SamsaraSan 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 work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.
Plaid’s data science team is building models that improve how millions of users understand and grow their financial lives. Our data scientists apply state-of-the-art machine learning and modeling techniques -- including natural language processing, anomaly detection, optimization, and time series forecasting -- toward different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork.
In this role, you will focus on improving the performance of Plaid’s machine learning model performance, feature engineering, stability, and coverage. You will lead the efforts to experiment with new modeling approaches and strategies, and will be collaborating closely with a skilled team of engineers on ingesting signals and productionizing these models at scale.
Responsibilities Build products with real impact: your work will touch tens of millions of end-users, the best applications in FinTech, and major U.S. financial institutions
Passionate about applying machine learning at scale to real-world problems
Designing and interpreting experiments to measure the impact of new features on Plaid
Qualifications Deep understanding of statistical techniques and modern machine learning techniques and their mathematical models, such as classification, clustering, deep neural network and natural language processing
Strong product intuition and excitement to work fast and iteratively
Strong familiarity with Python, and ability to code and iterate independently on top of data infrastructure tools like Jupyter notebooks, standard ML libraries, Spark, etc
Master/PhD degree in Data Science, Computer Science, Mathematics, Statistics, Operations Research, Economics, or a closely related field graduating in either December 2024 or May 2025.
Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected].
Please review our Candidate Privacy Noticehere.
Email Alert for Machine Learning Intern jobs in San Francisco, CA, United States
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.