Machine Learning Engineer
- Published on
About Acceler8 Talent
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
Join our innovative team as a Machine Learning Engineer, where we are at the forefront of revolutionizing hardware engineering with advanced models designed to enhance the design process significantly. You will play a crucial role in developing and evaluating extensive systems comprising interconnected LLMs, NLP models, and retrieval algorithms. Your responsibilities will include structuring data for training complex models, optimizing both open-source and closed-source models, and 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 both open-source and closed-source models under various constraints.
- Design and execute innovative search and retrieval algorithms.
- Create and implement model evaluations.
- Address challenging 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 a hunger to innovate.
Bonus Skills
- Experience with code generation models.
- Background in reinforcement learning.
- Passion for 0 to 1 challenges and demonstrated drive to excel in the field.
This role offers an exciting opportunity to contribute to groundbreaking advancements in hardware engineering while working in a dynamic and collaborative environment. If you are passionate about machine learning and eager to make an impact, we encourage you to apply and join us in transforming the future of hardware design.