Elicit is an AI research assistant that utilizes language models to assist researchers in making informed decisions and conducting literature reviews.
The company aims to enhance reasoning capabilities globally, making good reasoning accessible to both experts and non-experts.
Elicit is a scalable machine learning system that focuses on human-understandable task decompositions, contributing to the understanding of safe AGI architectures.
The AI Engineer role involves backend implementation, focusing on concurrency, fault-tolerance, and distributed systems.
The position is crucial for enhancing the functionality of Elicit, especially in managing various ML models.
The tech stack includes Node and Python for the backend, and Next.js and TypeScript for the frontend, with a strong emphasis on backend work.
The role requires collaboration with a small, highly-collaborative team and involves regular in-person interactions during retreats and co-working weeks.
Requirements:
Candidates should possess strong technical aptitude and computer science fundamentals to navigate the backend tech stack effectively.
A genuine curiosity and enthusiasm for language models is essential.
A defensive, fault-first mindset is required to ensure system reliability.
Above-average communication skills are necessary for collaborating with stakeholders across the company.
A sense of joy and craftsmanship in engineering work is highly valued.
Familiarity with concepts such as anyio, trio, asyncio, the await keyword in JavaScript, and Kubernetes pods is expected.
Benefits:
Elicit offers a flexible work environment, allowing employees to work from the Oakland office or remotely, with required in-person attendance for retreats and co-working events.
Health, dental, vision, and life insurance are fully covered for employees, with generous coverage for family members.
A flexible vacation policy includes a minimum of 20 days per year plus company holidays.
The company provides a 401K plan with a 6% employer match.
New hires receive a Mac and a $1,000 budget for workstation setup, with $500 allocated annually thereafter.
A quarterly budget of $1,000 is available for AI experimentation and learning, covering courses, resources, and conference attendance.
Employees have access to a team administrative assistant for personal and work-related tasks.
Competitive salaries are offered, with starting ranges for senior roles between $195-285k, expert roles between $220-320k, and principal roles above $265k, along with significant equity options.
