Company Overview
About the job
As an ML Engineer within the Fine-Tuning API team at Together AI, you will develop a platform that allows our users to customize open-source models with their data. You will collaborate with our product and research teams, developing features that will enable new use cases for the Fine-Tuning API. You will also work with the engineering team to ensure that our API is reliable and well-integrated into the company’s technical infrastructure. You will have an opportunity to build the foundational layer of the open-source AI ecosystem, letting developers all over the world efficiently create high-quality models tailored to their application scenarios.
Key Responsibilities
- Build and improve Together’s systems and infrastructure for customizing open-source models
- Create tooling and documentation to set our users up for success with the Fine-Tuning API
- Make sure the service is stable and robust, participating in an on-call rotation and ensuring 24/7 availability of our platform
- Analyze and increase the efficiency of fine-tuning methods, both from research and engineering perspectives
- Develop new features and capabilities for the API based on latest research in AI
You May Be a Good Fit If You
- Have 2+ years of experience building and deploying machine learning-based services in a production environment
- Have working knowledge of latest methods for fine-tuning LLMs or other AI models
- Have a strong software engineering background in Python or Go
- Are passionate about making reliable and convenient tools for software developers
- Follow latest advances and trends in the Machine Learning community
Experience in any of the following will make you stand out:
- Developing large-scale and high-load production systems
- Implementation and design of advanced methods for efficient fine-tuning
- Maintaining or contributing to open-source ML projects
- Managing machine learning workloads on Kubernetes clusters
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