Machine Learning Engineer
- Published on
About Us
We are dedicated to transforming hardware design processes, founded by leaders with backgrounds from top-tier institutions and supported by renowned investors. Our team is driven by a mission to streamline hardware design, leveraging expertise from industries intersecting AI and semiconductors.
About the Role
As a Machine Learning Engineer, you will play a crucial role in developing and evaluating extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms. You will structure data for training complex models, optimize both open-source and closed-source models under various constraints, and design innovative search and retrieval algorithms. Your responsibilities will include implementing and evaluating models while addressing challenging engineering constraints like latency and costly model inference.
Key Responsibilities
- Develop and evaluate extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms.
- Structure data appropriately for training complex models.
- Build and optimize open-source and closed-source models, considering various constraints.
- Design and execute innovative search and retrieval algorithms.
- Create and implement model evaluations.
- Address engineering constraints such as latency and costly model inference.
Requirements
- Strong understanding of NLP and LLMs.
- Strong proficiency in PyTorch.
- Proven track record of exceptional data engineering and AI capabilities.
- Publications in top AI conferences and competitions.
- Experience at leading AI companies and research labs.
- Implemented research papers into production code.
- Experience in complex ML domains.
- Passion for solving challenging problems and innovating.
Bonus Skills
- Experience with code generation models.
- Background in reinforcement learning.
- Passion for 0 to 1 challenges and a demonstrated drive to excel in the field.