Role at a glance
- Salary
- $290.4K – $363K/yr
- Location
- San Francisco, California, United States NY, New York, United States
- Work arrangement
- On-site
- Employment
- Full-time
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Role Summary
The LLM post-training platform team builds and optimizes an internal distributed framework for large language model training, inference, evaluation, and data curation. The platform supports MLEs, researchers, data scientists, operators, and Scale’s ML research and development teams.
What You'll Do
- Build, profile and optimize the training and inference framework.
- Collaborate with ML and research teams to accelerate research and development.
- Enable teams to develop the next generation of models and data curation.
- Research and integrate state-of-the-art technologies to optimize the ML system.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Passionate about system optimization; Strong software engineering skills; Strong written and verbal communication skills to operate in a cross functional team environment.
Required
- 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.
- 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
Preferred
- Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning,...
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.
If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you!
You will:
- 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.
Ideally you’d have:
- 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.
Nice to haves:
- 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.
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; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, 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.
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, 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 [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.
About the company
Scale AI
Large Enterprise
Scale AI is a leading provider of data-centric AI solutions that empower businesses to accelerate their artificial intelligence initiatives. Founded in 2016, the company specializes in offering high-quality training data for machine learning models, helping organizations effectively harness the power of AI across various industries. Scale AI leverages innovative technology and a skilled workforce to deliver precise data labeling services and streamline data workflows, ensuring clients can achieve greater efficiencies and improved outcomes in their AI projects. With a commitment to innovation and quality, Scale AI is positioned as a key partner for companies looking to integrate AI into their operations.
Scale AI is a leading provider of data-centric AI solutions that empower businesses to accelerate their artificial intelligence initiatives. Founded in 2016, the company specializes in offering high-quality training data for machine learning models, helping organizations effectively harness the power of AI across various industries. Scale AI leverages innovative technology and a skilled workforce to deliver precise data labeling services and streamline data workflows, ensuring clients can achieve greater efficiencies and improved outcomes in their AI projects. With a commitment to innovation and quality, Scale AI is positioned as a key partner for companies looking to integrate AI into their operations.