Scale AI, Inc.
Tech Lead Manager, Machine Learning Research Scientist- LLM Evals
Scale AI, Inc., San Francisco, California, United States, 94199
Overview
As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Role
Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. Responsibilities
Lead a team of highly effective research scientists and research engineers on LLM evals. Conduct research on the effectiveness and limitations of existing LLM evaluation techniques. Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness. Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects. Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols. Implement scalable and reproducible evaluation pipelines using modern ML frameworks. Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives. Remain up-to-date on ongoing research in the team and contribute to design decisions. Engage with the research community to understand trends and influence them. Thrive in a high-energy, fast-paced startup environment and commit the time and effort needed to drive impactful results. Qualifications
5+ years of hands-on experience in large language models, NLP, and transformer modeling, in both research and engineering contexts. Experience and track record of delivering major research impacts in a fast-paced environment. Experience supporting and leading a team of research scientists and research engineers. Excellent written and verbal communication skills. Published research in machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals. Previous experience in a customer-facing role. Compensation and Benefits
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The salary range for this posting reflects the minimum and maximum targets for new hires based on location and factors including skills, experience, and education. Eligible Scale employees are granted equity-based compensation subject to Board approval. Your recruiter can share the specific salary range for your location and confirm equity eligibility. Benefits include comprehensive health, dental, and vision coverage, a learning and development stipend, generous PTO, and may include a commuter stipend. Location and Salary
Please reference the job posting's subtitle for the location. For pay transparency purposes, the base salary range for this full-time position in San Francisco, New York, and Seattle is: $260,000 — $350,000 USD Notes
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. About Us
At Scale, we believe the transition from traditional software to AI is a major shift. Our mission is to accelerate this transition across industries. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by leading AI companies, government agencies, and enterprises as we expand our team to accelerate AI development. Equal Opportunity
We are 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. Accessibility
We are committed to providing reasonable accommodations to applicants with disabilities. If you need assistance, please contact accommodations@scale.com. See the Know Your Rights poster and Pay Transparency provisions for more information. Privacy
We collect, retain and use personal data for recruitment purposes and to comply with laws. Any information collected will be treated in accordance with our privacy policy.
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As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Role
Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. Responsibilities
Lead a team of highly effective research scientists and research engineers on LLM evals. Conduct research on the effectiveness and limitations of existing LLM evaluation techniques. Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness. Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects. Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols. Implement scalable and reproducible evaluation pipelines using modern ML frameworks. Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives. Remain up-to-date on ongoing research in the team and contribute to design decisions. Engage with the research community to understand trends and influence them. Thrive in a high-energy, fast-paced startup environment and commit the time and effort needed to drive impactful results. Qualifications
5+ years of hands-on experience in large language models, NLP, and transformer modeling, in both research and engineering contexts. Experience and track record of delivering major research impacts in a fast-paced environment. Experience supporting and leading a team of research scientists and research engineers. Excellent written and verbal communication skills. Published research in machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals. Previous experience in a customer-facing role. Compensation and Benefits
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The salary range for this posting reflects the minimum and maximum targets for new hires based on location and factors including skills, experience, and education. Eligible Scale employees are granted equity-based compensation subject to Board approval. Your recruiter can share the specific salary range for your location and confirm equity eligibility. Benefits include comprehensive health, dental, and vision coverage, a learning and development stipend, generous PTO, and may include a commuter stipend. Location and Salary
Please reference the job posting's subtitle for the location. For pay transparency purposes, the base salary range for this full-time position in San Francisco, New York, and Seattle is: $260,000 — $350,000 USD Notes
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. About Us
At Scale, we believe the transition from traditional software to AI is a major shift. Our mission is to accelerate this transition across industries. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by leading AI companies, government agencies, and enterprises as we expand our team to accelerate AI development. Equal Opportunity
We are 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. Accessibility
We are committed to providing reasonable accommodations to applicants with disabilities. If you need assistance, please contact accommodations@scale.com. See the Know Your Rights poster and Pay Transparency provisions for more information. Privacy
We collect, retain and use personal data for recruitment purposes and to comply with laws. Any information collected will be treated in accordance with our privacy policy.
#J-18808-Ljbffr