Founding AI Engineer

Piqsil•Palo Alto, CA

14h•Hybrid

About The Position

We are on the hunt for A Founding AI Engineer with the vision and skill to develop and enhance our cutting AT systems. This pivotal role will challenge you to push boundaries of artificial intelligence, working on ambiguous projects such as fine tuning large language models, crafting sophisticated model evaluations, inventing novel search, retrieval and QA algorithms, orchestrating large networks of interconnected LLMs and ingeniously navigating the complexity of latency and model inference costs. We’re in stealth so there's not much public info about us. You'll be working on novel, challenging, and difficult research & engineering problems at an exciting early stage startup out of Stanford that's working with one of the largest semiconductor companies in the world as a customer + backed by the best investors in Silicon Valley. Our team is backed by Index Ventures, founders of Replit and VMWare, with partners who have worked at Palantir and Deepmind. Voltai is currently working with one of the largest semiconductor companies in the world, and has more customers in the pipeline. We're building at the intersection of two of the fastest-growing industries, semiconductors and AI.

Requirements

3 - 7 years of work experience, with a preference for candidates with startup exposure
Training ML models in industry
Strong foundations in Natural Language Processing, Reinforcement Learning
Problem-solving mindset, relishing the opportunity to tackle complex, unprecedented challenges
Resilience in the face of setbacks, maintaining momentum without loss of enthusiasm
Proactive initiative, preferring to spearhead projects and learning through practical engagement

Nice To Haves

A record of publications in top-tier AI conferences and competitions
Experience gained with an elite AI-centric companies and research laboratories
Demonstrate ability to transform research papers into production ready code
A background in tackling intricate machine learning domains and issues
Possession of an Electrical Engineering background is a plus
Expertise with code generation models and applications
Eagerness to embrace the "zero to one" mentality building from the ground up
Exemplary pedagogical skills, enhancing learning and collaboration
A penchant for disruption and innovation, challenging traditional norms to uncover new insights
An optimistic attitude that energizes team morale and personal work ethic

Responsibilities

Develop and continuously improve our AI systems and approaches
Execute fine tuning of large language models to optimize performance
Conceive and conduct model evaluations to ensure efficacy and accuracy
Create and implement innovative search, retrieval and QA algorithms tailored to user needs
Design, build and assess sophisticated large scale systems of interconnected LLMs
Address and overcome harsh engineering constraints such as latency issues and high costs of internal model inferences