About the RoleEvery model decision at Ramp Labs runs through a benchmark. Which model to route to. Whether a post-training run worked. Whether an agent is ready to post a corrective journal entry to a customer's ledger without a human in the loop.
You'll own Ramp's benchmarking effort. You'll turn real finance work (expense policy review, invoice coding, month-end close, spreadsheet Q&A) into benchmarks and RL environments, build the graders, and tell the team what is actually improving.
What You'll Do- Build benchmarks from real workflows: turn agent traces, customer edge cases and expert labels into versioned benchmark suites for long-horizon agents that run for hours across tools and systems, plus tool use, multi-step reasoning and financial judgment
- Own the benchmarking effort: decide what we measure, run benchmark suites across models and agent versions, and report results the team makes decisions on
- Design graders: rubrics, programmatic checks and llm-as-judge, calibrated against human agreement, with a clear view of where each one breaks
- Close the loop with post-training: turn evals into reward functions and RL environments, and catch reward hacking and contamination before they ship
- Publish external benchmarks and write-ups on how models perform at real finance work
What You Need- Hands-on experience building LLM benchmarks or evals that people used to make real decisions
- Strong Python and software engineering; your eval code is reproducible and fast
- Statistical judgment: variance, confidence intervals, sample size, inter-rater agreement, and knowing when a delta is noise
- Working knowledge of post-training (SFT, RL with verifiable rewards) and how evals feed into it
- Comfort with SQL and large datasets; you'll work directly from production traces
- Taste for what is worth measuring
Nice-to-Have- Industry experience on an eval, benchmarking or post-training team
- Built RL environments or verifiers for agentic tasks
- Published benchmark or evaluation research (NeurIPS Datasets & Benchmarks, ICML, ACL)
- Built or contributed to eval frameworks (verifiers, lm-evaluation-harness, HELM or similar)
- Familiarity with accounting, finance or other expert-domain work
- Public work we can look at: a benchmark, an eval suite, a failure-analysis write-up
Benefits available to all full-time Ramp employees (Global)- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
United States- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
Canada- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
United Kingdom- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
Referral InstructionsIf you are being referred for the role, please contact that person to apply on your behalf.
