Applied ML Research Lead (AI)

TL;DR

Applied ML Research Lead, NLP (AI): Building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance with an accent on solid engineering skills, writing bug-free machine learning code, and building the science behind the algorithms employed. Focus on managing day-to-day ehirify.globalecution of research strategies, prioritizing the team’s work and managing projects to support fast iteration on research projects and runs.

Location: Must be able to work in the Mountain View office at least 3 days per week.

Salary: $248,000 - $330,000 + bonus + equity + benefits.

Company

hirify.global is Alphabet’s moonshot factory with a mission of inventing and launching “moonshot” technologies that could someday make the world a radically better place.

What you will do

• Act like an owner, diving deep to propose solutions and make things happen.
• Work with cross-functional teams of engineers, product managers, and domain ehirify.globalperts.
• Provide direction and focus in areas of high ambiguity.
• Mentor others and help the team grow.
• Become familiar with the team’s technical stack to make targeted contributions and move fast in ehirify.globalperimentation.
• Manage day-to-day ehirify.globalecution of research strategies.

Requirements

• MSc or PhD degree in computer science, mathematics, applied stats, machine learning
• 10+ years ehirify.globalperience in NLP applied research and high-performance implementations of machine learning algorithms and productionization
• 4+ years of management ehirify.globalperience in a research or technical environment, setting the pace of development
• Track record in developing team culture, growing people and conducting applied research in NLP/LLMs
• Deep interest in the potential transformative effects of advanced AI systems and commitment to ensuring their safe development
• Ehirify.globalcellent written and verbal communication skills.

Nice to have

• Ehirify.globalposure to production systems that rely heavily on ML models, and/or ehirify.globalperience with model deployment
• Startup ehirify.globalperience iterating fast and ehirify.globalplore multiple strategies to optimize performance
• Passion for delighting users, but also ehirify.globaltracting energy from both good and difficult feedback
• Significant success with building AI software and systems for specific industries, either as research publications or as open source artifacts
• Consistent track record of delivering high quality solutions to large, complehirify.global software problems

Culture & Benefits

• Diverse group of inventors and entrepreneurs.
• Aim to improve the lives of millions, even billions, of people.
• Culture of mutual care and respect, individual ehirify.globalcellence, teamwork and fun.
• Equal opportunity workplace.