Job Location : New York,NY, USA
As a software engineer on the ML Infrastructure team, you will work on developing the platform for orchestrating post-training and model evaluation jobs. At Scale, we are constantly developing new data sources and running experiments to understand their impact on ML models. To support this effort, we are looking for engineers who are comfortable navigating cloud infrastructure challenges as well as research challenges in benchmarking and tuning LLMs.The ideal candidate is someone who has strong fundamentals in machine learning, backend system design, and has prior ML Infrastructure experience. They should also be comfortable with infrastructure and large scale system design, as well as diagnosing both model performance and system failures.You will: Develop re-usable platforms for running in-house and open-source LLM-benchmarks.Ensure correctness and performance of post-training and eval jobs on the platform.Improve APIs for managing ML workflows.Contribute to foundational infrastructure at the company for model inference and training.Participate in our team's on call process to ensure the availability of our services.Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment.Ideally you'd have: 4+ years of experience developing ML platforms.Passion for working closely with researchers to drive business impact.Experience training and/or benchmarking LLMs.Experience with Python, Docker, Kubernetes, and Infrastructure as code (e.g. terraform).Nice to haves: Experience building, deploying, and monitoring complex microservice architectures.Experience working with a cloud technology stack (eg. AWS or GCP).For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $160,000 — $225,600 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 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 affirmative action employer and 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.#J-18808-Ljbffr