Member of Technical Staff, Tech Lead

$180k - $300k San Francisco, CA FullTime

Posted 6mo ago

Job Location

San Francisco, CA

Tech Stack

Remote Work Policy

On-site

Employment Type

FullTime

Categories

Applied AI Engineer

About the job

We are seeking engineers to build a complex AI-native product within a small, high-caliber team. Our platform facilitates AI-moderated video interviews at scale, connecting AI systems with human needs. We are developing a "Human API" that simulates human behavior and preferences, enabling AI agents to perform closed-loop product development at AI speed. This involves creating a database of millions of people, understanding emotional intelligence through AI, and building sophisticated preference models. The role requires engineers who can solve problems end-to-end, owning parts of the product across the LLM pipeline, infrastructure, backend, and UX. We are looking for individuals excited about pushing LLMs to their limits and communicating complex ideas effectively.

Responsibilities

  • Build a complex AI-native product.
  • Develop and maintain an AI-moderated video interview platform.
  • Match profiles based on voice, face, and device IDs.
  • Enhance AI interviewer capabilities to read tone, hesitation, and facial micro-expressions.
  • Improve the preference model for quantifying predictions and determining refresh rates.
  • Embed the Human API into various decision-making platforms like Slack, Linear, and IDEs.
  • Develop and evaluate AI outputs for research agents.
  • Own end-to-end product processes and make decisions across the LLM pipeline, infrastructure, backend, and UX.
  • Collaborate with frontier model labs on new LLM releases.
  • Communicate complex ideas and tradeoffs effectively in writing.

Requirements

  • Ability to solve problems end-to-end.
  • Experience as a founder or aspiring founder.
  • Strong focus on accuracy and root cause analysis.
  • Excitement for pushing LLMs to their limits.
  • Excellent written communication skills.
  • Highly technical with a strong foundation in coding.
  • Experience with LLM pipelines, infrastructure, backend, and UX.

Benefits

  • Full medical, dental, and vision coverage.
  • FSA/HSA and life insurance available.
  • Meaningful equity ownership.
  • Annual Learning Stipend (books, courses, conferences, coaching, language lessons).
  • Annual Wellness Stipend (gym memberships, race fees, massages, ergonomic gear).
  • Monthly Stipend for AI tools (software and GPU credits).
  • Private chef serves lunch and dinner in SF office; meal credit for NYC and London teams.
  • Flexible time off (take-what-you-need vacation policy).
  • Company offsites and events.
  • Room for growth and ownership as an early team member.

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