Machine Learning Engineer
- Published on
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. Your role will be pivotal in developing and evaluating expansive 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, all while addressing challenging engineering constraints like latency and costly model inference.
About the Company
At Acceler8 Talent, we are dedicated to transforming hardware design processes. We were founded by leaders hailing from top-tier institutions and are supported by renowned investors. Our mission is to streamline hardware design, leveraging our expertise from industries intersecting AI and semiconductors to push the boundaries of efficiency and affordability in the field.
What We Can Offer You
- Opportunity to pioneer advancements in hardware engineering through AI integration
- Collaborative environment focused 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.
Requirements
- Strong understanding of NLP and LLMs.
- Strong proficiency in PyTorch.
- Proven track record of exceptional data engineering and AI capabilities.
- Experience with implemented research papers in production code.
- Publications in top AI conferences and competitions.
- Experience at leading AI companies and research labs.
- Experience in complex ML domains.
- Passion for solving challenging problems and innovating.
Bonus
- Experience with code generation models.
- Background in reinforcement learning.
- Passion for 0 to 1 challenges and demonstrated drive to excel in the field.