Machine Learning Engineer
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. Our aim is to autonomously generate cutting-edge hardware designs, pushing the boundaries of efficiency and affordability in the industry.
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.
What We Can Offer You
- Opportunity to pioneer advancements in hardware engineering through AI integration
- Collaborative environment with a focus on innovation and cutting-edge technology
- Competitive salary and comprehensive benefits package
- Flexible working hours and potential for remote work
- Professional growth opportunities with continuous learning support
- Chance to contribute to a rapidly expanding field bridging AI and semiconductor industries
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, considering 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.
Relevant Keywords in Italics
The ideal candidate should have a strong understanding of NLP and LLMs, along with strong proficiency in PyTorch. They should demonstrate a proven track record of exceptional data engineering and AI capabilities, including publications in top AI conferences and competitions and experience at leading AI companies and research labs. Additionally, experience in complex ML domains and a passion for solving challenging problems and innovating are crucial.
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
- 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.
