San Francisco
1 year ago

Job Overview

Job Type
FullTime
Pay
Not disclosed

Job description

Location:
San Francisco, United States
Work arrangement:
On-site

Role Summary

We’re inventing the future of B2B SaaS with AI agents. We’re betting on language models and we’re betting on scale. You’ll test new models the day they come out and understand their characteristics better than their developers do.

You’ll manage our model alpha program with OpenAI, and work directly with their research and product teams to discover unknown capabilities in new models.

You’ll work directly with customers every day and have unusual influence over operations and policy-making at the world’s biggest companies.

Responsibilities

  • Turn language models into useful, functional, and beautiful products.
  • Scope and implement entirely novel applications of AI agents (adversarial webcrawling, weapons identification, red-teaming, ingredient extraction, etc.)
  • Architect and implement workflows that power SafetyKit's risk AI agents
  • Design and conduct rigorous experiments to evaluate models' relative strengths, weaknesses, and optimal use cases
  • Use codegen models to move 10x faster than you did two years ago

About you

  • You love language models.
  • You have the patience to be rigorous.
  • You act like an owner in everything you do.
  • People tell you you pick things up unusually quickly.
  • You love the weird little details of life in our customer’s companies.
  • You care about your work and you care about moving fast. A lot.
  • You know more than you need to know. You have an insatiable curiosity.
Role:
Applied AI Engineer
Job Type:
FullTime

Company profile

safetykit

safetykit.com

SafetyKit provides AI agents that automate risk reviews, onboarding and investigations for online platforms, with marketplaces and fintech platforms among its users. The agents evaluate all of the user activity on a platform and investigate cases end to end to stop scams and abuse. SafetyKit aims to help platform teams stop bad actors as they emerge, rather than reacting after damage has already happened.

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