AI Researcher at Mercury

San Francisco, California, United States

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$200,000 – $300,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

PhD or M.S. and 2+ years of work experience in computer science, electrical engineering, econometrics, or another STEM field that provides a solid understanding of ML and model evaluation
Strong publication record in AI research, ideally in LLM evaluation (dataset and evaluation papers preferred; other model evaluation or AI-related publications also of interest)
Strong understanding of LLMs and the data on which they are trained and evaluated
Strong communication skills and ability to present findings clearly and concisely
Familiarity with data annotation workflows
Good understanding of statistics
Willingness to work 6 days a week, with Monday-Friday in person in San Francisco

Responsibilities

Build benchmarks that measure real world value of AI models
Publish LLM evaluation papers in top conferences with the support of the Mercor Applied AI and Operations teams
Push the frontier of understanding data ROI in model development including multi-modality, code, tool-use, and more
Design and validate novel data collection and annotation offerings for leading industry labs and big tech companies

Skills

Key technologies and capabilities for this role

LLM EvaluationModel EvaluationAI BenchmarksResearch PublicationsData CollectionMulti-modalityTool-useCode ModelsDataset Creation

Questions & Answers

Common questions about this position

What is the salary range for the AI Researcher position?

The base cash compensation ranges from $200K to $300K, with additional generous equity grant.

Is this role remote or onsite, and where is the office located?

This is an onsite full-time role requiring Monday-Friday in person in San Francisco, with a willingness to work 6 days a week.

What skills and qualifications are required for this AI Researcher role?

Candidates need a PhD or M.S. with 2+ years experience in a relevant STEM field, strong publication record in AI research (ideally LLM evaluation), understanding of LLMs and data, strong communication skills, familiarity with data annotation, and statistics knowledge.

What benefits are offered for this position?

Benefits include a $20K relocation bonus (if moving to the Bay Area), $10K housing bonus (if living within 0.5 miles of the office), $1K monthly meal stipend, free Equinox membership, and health insurance.

What makes a strong candidate for this AI Researcher role?

A strong candidate has a track record of LLM evaluation publications or other AI research, experience building benchmarks and datasets, and the ability to publish impactful papers while working closely with teams in a fast-paced environment.

Mercury

Banking services for startups and founders

About Mercury

Mercury provides banking services specifically designed for startups, regardless of their size or stage of development. Their offerings include free checking and savings accounts, debit and credit cards, and options for domestic and international wire transfers, as well as treasury and venture debt services. The platform is user-friendly, allowing founders to manage their finances with ease. What sets Mercury apart from traditional banks is its focus on the startup community, offering programs that connect founders with valuable resources and advice to help them succeed. The goal of Mercury is to empower startups by providing them with the financial tools and support they need to grow and thrive.

San Francisco, CaliforniaHeadquarters

2017Year Founded

$146.8MTotal Funding

DEBTCompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Health, dental, & vision

Custom equipment setup

401(K) matching

12+ weeks paid parental leave

Book budget

Wellness benefits

Grocery budget

Paid lunch

Personalized callsign

Unlimited vacation policy (with mandatory minimum)

Risks

Mercury's decision to stop serving certain countries may lead to customer loss.

Integration challenges from the Teal acquisition could disrupt services.

Expansion into consumer banking might divert focus from core startup services.

Differentiation

Mercury offers both business and personal banking services, unlike many fintech competitors.

The company provides integrated financial management tools, enhancing startup operational efficiency.

Mercury's Raise program connects startups with investors, mentors, and other founders.

Upsides

Mercury secured a $100 million credit warehouse to expand its credit card business.

The acquisition of Teal enhances Mercury's financial management offerings for startups.

Mercury Personal expands market reach by attracting tech-savvy individuals.

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