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.