Posted:
12/2/2024, 6:31:46 AM
Location(s):
San Francisco, California, United States ⋅ New York, United States ⋅ New York, New York, United States ⋅ California, United States
Experience Level(s):
Internship
Field(s):
AI & Machine Learning ⋅ Software Engineering
Workplace Type:
Hybrid
Pay:
$54/hr or $112,320 total comp
Join the ML research team at Scale to pioneer synthetic and hybrid data creation and post-training research with an emphasis on the science of data. We are building innovative research frameworks to improve post-training data pipelines and evaluation methods for LLMs. This research forms the foundation for Scale’s ability to deliver high-quality, data-driven solutions that enhance model quality. Our work enables Scale to support the most advanced ML use cases, driving meaningful progress in capabilities evaluation and alignment for industry-leading customers. You’ll be working on cutting-edge research problems aimed at advancing post-training methodologies and evaluation science. Working at Scale will give you opportunities to collaborate with leading research teams and gain exposure to a wide range of challenges in machine learning.
Example Projects:
Required to have:
Ideally you’d have:
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
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. Please see our privacy policy for additional information.
Website: https://scale.com/
Headquarter Location: San Francisco, California, United States
Employee Count: 251-500
Year Founded: 2016
IPO Status: Private
Last Funding Type: Secondary Market
Industries: Artificial Intelligence (AI) ⋅ Data Collection and Labeling ⋅ Generative AI ⋅ Image Recognition ⋅ Machine Learning ⋅ SaaS