ML Research Engineer, ML Systems

Tbwa Chiat/Day Inc; New York, San Francisco (IA, CA); On-site; USD 200,000 - 251,000; Full time

Job summary

An innovative company at the forefront of AI is looking for a talented engineer to join their ML platform team. In this exciting role, you will build and optimize frameworks that power large language model training and inference. Collaborating with cross-functional teams, you will research and integrate cutting-edge technologies to enhance the ML system. This position offers a unique opportunity to contribute to the future of AI, making a significant impact in a rapidly evolving field. If you have a passion for system optimization and a strong background in distributed ML systems, we encourage you to apply and help shape the future of AI.

Qualifications

• Strong excitement about system optimization and experience with multi-node LLM training.
• Proficient in software engineering and familiar with CUDA, Pytorch, and distributed ML systems.

Responsibilities

• Build and optimize training and inference frameworks for ML models.
• Collaborate with ML teams to enhance research and development efforts.

Skills

System Optimization

Multi-node LLM Training

Large-scale Distributed ML Systems

Software Engineering

Communication Skills

Tools

CUDA

Pytorch

Transformers

Flash Attention

Job description

Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs, as well as evaluation of data quality.

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 across Scale’s ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference, and data curation.

If you are excited about shaping the future of 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 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:

• Strong excitement about system optimization
• Experience with multi-node LLM training and inference
• Experience with developing large-scale distributed ML systems
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
• Strong written and verbal communication skills and the ability 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:

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.

The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $200,800 - $251,000 USD.

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 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 [e-mail].

Apply for this job

* indicates a required field