Tech Lead Manager- MLRE, ML Systems

Навыки

• Коммуникация
• CUDA / ONNX / TensorRT
• Data Quality
• Дообучение моделей
• LLM
• Machine Learning
• PyTorch

О компании и продукте

• At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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 Know Your Rights poster for additional information.
• We comply with the United States Department of Labor's Pay Transparency provision .

Задачи

• Build, profile and optimize our training and inference framework
• Collaborate with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation
• Research and integrate state-of-the-art technologies to optimize our ML system
• Scale's LLM post-training platform team builds our internal distributed framework for large language model training
• The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs
• It also serves as the underlying training framework for the data quality evaluation pipeline
• Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle
• You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works
• You will be building and optimizing the platform to enable our next generation LLM training, inference and data curation

Требования

• If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you!
• Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc

Будет плюсом

• Passionate about system optimization
• Experience with multi-node LLM training and inference
• Experience with developing large-scale distributed ML systems
• Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc
• Strong written and verbal communication skills to operate in a cross functional team environment
• Please reference the job posting's subtitle for where this position will be located
• For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is
• 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

Условия

• 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 and may be inclusive of several career levels at Scale
• 290,400 — $363,000 USD

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