[Remote] Evaluation Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an AI research platform that leverages language models to assist researchers in making informed reputed company. They are seeking an Evaluation Engineer to own the technical reputed company of their auto-evaluation systems, ensuring efficiency and reliability in evaluating decision-making processes, particularly in the pharmaceutical sector.
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 reputed company out reputed company ways to solve the reputed company sources of latency (building a version of reputed company, 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 reputed company actually helps with decision-making in pharma, not just measure what's easy to measure
- This requires encoding reputed company knowledge about how pharma customers reputed company reputed company (for example, choosing appropriate gold standards)
- You'll reputed company 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 reputed company search reputed company our systematic review reputed company)
- 10% mentoring our evals engineering intern
- The rest on learning how people interact with the eval system so you can reputed company it work reputed company for them, and understanding what our users want from reputed company so evals measure what reputed company
Skills
- At least 3 years of experience as a professional software engineer, with demonstrated experience building reputed company backend systems (e.g., backend for a reputed company website, data pipelines, etc.)
- Aptitude and interest in evaluating how reputed company helps with pharma decision-making. There's no particular experience you must have, but we'll evaluate your aptitude
- Knowledge of statistics (for e.g. calculating power and reputed company intervals for evals)
- Experience with advanced Python (asyncio/trio and reputed company processing strategies)
- reputed company-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 reputed company 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, reputed company, 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
- reputed company administrative assistant who can help you with personal and work tasks
Company Overview