Ando

Research Engineer

San Francisco. Posted 4 months ago

The role

You will be one of the first members of a small research team working close to data and the product. You will build evaluations from real data, run experiments that ship to production, and decide between building in-house or partnering with vendors.

What you will do

  • Mine production workspace data into benchmarks and labeled datasets.
  • Design label schemas and run labeling with inter-rater rigor.
  • Build harnesses to capture expert judgment.
  • Run experiments on offline workspace data and production systems.
  • Evaluate frontier vendors and research teams.
  • Publish research as the team makes meaningful progress.

Required qualifications

  • Strong applied research background with depth in model evaluation, benchmarking, and/or failure analysis.
  • Work samples or code demonstrating skills in eval frameworks, benchmark suites, failure-analysis reports, or tooling.
  • Strong technical communication skills.
  • Comfort with incomplete and ambiguous real workspace data.

Nice to have

  • familiarity with simulation (Park et al.)
  • human-in-the-loop evaluation (Scale HIL leaderboard)
  • Cartridges and related context/memory-compression work
  • memory for multi-party long-running settings
  • agent observability standards (setting up Langsmith or similar)

Benefits

  • Free Equinox membership & other health perks
  • Generous equity grant vested over 4 years
  • Health, dental, vision insurance

Before you apply

  • 30 min intro call
  • Technical conversation - walk us through an app you've shipped
  • Paid take-home or IRL work trial

About the company

Ando is a messaging platform where AI agents take on work alongside their human teammates. They are rebuilding Slack around durable memory and agents as first-class participants.