Elicit · 1 day ago
Evaluation Engineer
United States
Full-time
Remote
Mid, Senior Level
$140K/yr - $200K/yr
3+ years expElicit is an AI research platform that uses language models to help researchers make better decisions. The Evaluation Engineer will own the technical foundation of auto-evaluation systems, ensuring they are fast, reliable, and user-friendly while focusing on decision-making in pharma.
Artificial Intelligence (AI)Data Center AutomationDatabaseInformation Technology
Responsibilities
You'll build a comprehensive system that runs fast, is easy to use, and supports quickly building new evals:
You’ll build a lightning-fast basic evals infrastructure that schedules tasks to introduce practically no latency; and then you’ll figure out clever ways to solve the fundamental sources of latency (building a version of Elicit, running it on a query, and evaluating it using LMs)
ML engineers need evals to kick off automatically on relevant commits, with results they can see at a glance and drill into
Product managers need dashboards showing performance over time and what's going wrong in production
Your code must be well-architected so other team members and ML engineers can understand and build on it
We need to evaluate how well Elicit actually helps with decision-making in pharma, not just measure what's easy to measure
This requires encoding real knowledge about how pharma customers make decisions (for example, choosing appropriate gold standards)
You'll provide appropriate statistical tests and confidence intervals so we can trust our results
In a typical month, expect to spend:
60% working on the core eval platform
15% working closely with the evals team to build and improve specific evals (e.g., an eval of our paper search within our systematic review flow)
10% mentoring our evals engineering intern
The rest on learning how people interact with the eval system so you can make it work better for them, and understanding what our users want from Elicit so evals measure what matters
Qualification
Required
At least 3 years of experience as a professional software engineer, with demonstrated experience building complex backend systems (e.g., backend for a complex website, data pipelines, etc.)
Aptitude and interest in evaluating how Elicit helps with pharma decision-making. There's no particular experience you must have, but we'll evaluate your aptitude
Preferred
Knowledge of statistics (for e.g. calculating power and credence intervals for evals)
Experience with advanced Python (asyncio/trio and parallel processing strategies)
Front-end experience and strong UX sensibility (you'll be building dashboards). TypeScript experience is a plus
Experience building developer tools (ML engineers are one of your most important clients)
Previous experience as a data engineer or working on AI infrastructure
Knowledge of pharma/biomed
Experience evaluating ML systems
Experience building language-model-based systems (helps with understanding Elicit and how to evaluate it)
Benefits
Flexible work environment: work from our office in Oakland or remotely with time zone overlap (between GMT and GMT-8), as long as you can travel for in-person retreats and coworking events
Fully covered health, dental, vision, and life insurance for you, generous coverage for the rest of your family
Flexible vacation policy, with a minimum recommendation of 20 days/year + company holidays
401K with a 6% employer match
A new Mac + $1,000 budget to set up your workstation or home office in your first year, then $500 every year thereafter
$1,000 quarterly AI Experimentation & Learning budget, so you can freely experiment with new AI tools, take courses, purchase educational resources, or attend AI-focused conferences and events
A team administrative assistant who can help you with personal and work tasks
Company
Elicit
Elicit uses language models to help users automate research workflows.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$31MKey Investors
Fifty Years
2025-02-26Series A· $22M
2023-09-25Seed· $9M
Leadership Team
Andreas Stuhlmüller
Cofounder & CEO
Jungwon Byun
Cofounder & COO
Recent News
2025-10-16
2025-08-14
Oman Observer
2025-06-30
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