Machine Learning Research Scientist / Research Engineer, Science of Data
Company: Scale AI, Inc.
Location: Seattle
Posted on: May 23, 2025
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Job Description:
Scale works with the industry's leading AI model labs to provide high quality data and accelerate progress in GenAI research. We are dedicated to advancing the science of data for generative AI. We develop innovative techniques for hybrid data generation and data quality assessment, ensuring high-quality and diverse datasets to drive the next generation of AI capabilities.We are looking for Research Scientists and Research Engineers to advance science of data and tackle challenges in data generation, quality assessment, and data selection for large-scale AI models. In this role, you will research and develop methodologies for synthetic and hybrid data generation, data quality and diversity analysis, and annotator behavior modeling. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models.You will:
- Develop and refine synthetic and hybrid (with human-in-the-loop) data generation methods to enhance model training.
- Design and implement data quality frameworks, including data diversity analysis, data selection strategies, and detection of reward hacking.
- Collaborate with internal teams and external partners to establish best practices for high-quality AI datasets.
- Publish research findings in top-tier AI conferences and
contribute to open-source data quality initiatives.Ideally you'd
have:
- Ph.D., Master's degree/or equivalent experience in Computer Science, Machine Learning, AI, or a related field.
- Strong background in deep learning, LLM, and data-centric AI methodologies.
- Experience in synthetic data generation, data selection, reward hacking detection, human-in-the-loop data orc, and annotator behavior research.
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
- Excellent written and verbal communication skills.
- Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals.
- Previous experience in a customer facing role.Compensation
packages at Scale for eligible roles include base salary, equity,
and benefits. The range displayed on each job posting reflects the
minimum and maximum target for new hire salaries for the position,
determined by work location and additional factors, including
job-related skills, experience, interview performance, and relevant
education or training. Scale employees in eligible roles are also
granted equity based compensation, subject to Board of Director
approval. Your recruiter can share more about the specific salary
range for your preferred location during the hiring process, and
confirm whether the hired role will be eligible for equity grant.
You'll also receive benefits including, but not limited to:
Comprehensive health, dental and vision coverage, retirement
benefits, a learning and development stipend, and generous PTO.
Additionally, this role may be eligible for additional benefits
such as a commuter stipend.The base salary range for this full-time
position in the location of San Francisco is:$220,000$325,000
USDPLEASE 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
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 accommodations@scale.com. Please
see the United States Department of Labor's for additional
information.We comply with the United States Department of Labor's
.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 for additional
information.Required
PreferredJob Industries
- Other
Keywords: Scale AI, Inc., Everett , Machine Learning Research Scientist / Research Engineer, Science of Data, Engineering , Seattle, Washington
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