Full Stack Software Engineer at Variance (W23)
$130K - $210K  •  
World-Class Tooling for Trust & Safety teams
San Francisco, CA, US
Full-time
US citizen/visa only
3+ years
About Variance

At Intrinsic, we are using disruptive technologies to solve some of the oldest and most complex problems of our digital age in anti-abuse, fraud prevention, and brand safety. Online abuse is an elaborate video game of cat-and-mouse. We move fast, and so do our adversaries.

About the role

About Us

At Intrinsic, we are using disruptive technologies to solve some of our digital age's oldest and most complex problems. We are a team that previously worked on solving Trust and Safety issues for Apple's 1 billion users, and we're on a mission to make the internet a safer and more trusted place for everyone.

Our platform, Intrinsic, enables companies to automate their Trust and Safety processes, from observability to enforcement. We are rapidly growing, serving some of the largest and fastest-growing social media and online services platforms. If you're passionate about building technology to combat online abuse and want to work on complex problems, check out our open roles!

What you'll be working on

  • Build AI-powered features for content moderators and enterprise customers
  • Building search engines using embedding-based retrieval
  • Build and ship new features end-to-end, from initial design to analyzing usage in production
  • Designing and creating generalized API services to enable enterprises to securely use our insights on their data

Requirements

  • 2+ years of industry experience, comfortable in both backend services to frontend
  • Experience with modern web frameworks (NextJS, Typescript, GraphQL, React)
  • Experience with Large Language Models (LLMs)
  • Know the best practices of how to write testable and reusable code
  • Self-directed and comfortable working with ambiguity

What we offer

  • Health care: we offer platinum-level medical, dental, and vision insurance
  • Unlimited PTO, sick leave, and parental leave
  • Up to $100 in reimbursement for personal health & wellness expenses each month
  • 401(k) plan
Technology
  • AI services (LLM infra: hosting, fine-tuning and operationalization of open source foundational models)
  • Frontend: NextJS, Typescript, and React
  • Backend: NextJS and Python for ML inference
  • Infrastructure hosted on GCP with Kubernetes and orchestrated using Terraform.
  • ML services and training: Python
  • Real-time and streaming technologies

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