---
title: 'Applied Researcher at Haize Labs'
canonical: 'https://feeny.ai/job/applied-researcher-haize-labs-new-york-qfd7rg4pkxsx'
type: 'job'
last_seen: '2026-09-08'
---

# Applied Researcher at Haize Labs

- **Company:** Haize Labs
- **Location:** New York, NY / San Francisco, CA
- **Posted:** 2024-07-03
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/haizelabs/jobs/4070038008

## Job description

## About Haize Labs

Today’s AI has a jagged intelligence surface. It is superhuman on well-defined benchmarks like the International Math Olympiad, but falls short in many real world domains.

Haize Labs brings superintelligence to the long tail of these domains through our agent foundry, which enables agent performance at parity with or better than domain experts.

Our agents are being deployed across many, many verticals. We are hiring an Applied Researcher to 1) turn companies into environments, 2) RL on these environments, and 3) rapidly scale and refine our products in existing verticals. This role spans research (RL, environment design, reward modeling), engineering (building, debugging, evaluating agents), and customer management (scoping, planning, relationship-building).

In this role, you will:

- Push the pareto frontier of model capabilities
- Rapidly synthesize RL environments and reward functions / models
- Fine-tune agents to hillclimb almost any task in any business you can imagine
- Develop the research platform—observability, evaluation, custom reward models, simulation testing—connecting domain experts to models

You are a great fit if you:

- Love research, but also love engineering and making money
- Have a knack for probing model capabilities (e.g. benchmark papers)
- Want to bring intelligence to real people doing real work in the real world, not just Silicon Valley SaaS companies

Ideal candidates likely:

- Have spent both time in a lab and in startup land
- Contribute to popular research frameworks (e.g. Prime-RL, Verl, Harbor, etc.)
- Spend their free time thinking about where AI is headed, and how to shape its capabilities

Logistics

- Education requirement: doesn’t matter. If you are exceptional, you are exceptional.
- Location policy: NYC/SF.
- US visa sponsorship: If you are exceptional, we will sponsor.

## Compensation

$175,000 – $265,000 annual salary And generous equity + benefits

## About Haize Labs

## Company Overview

- **One-liner**: Haize Labs builds a reliability platform for AI agents, enabling safe, production‑ready autonomous systems through adversarial testing, guardrails, and continuous improvement.
- **Entity Type**: Private (Seed round of $12.5M led by General Catalyst; some sources label it Series A – conflicting reports) [cbinsights.com](https://www.cbinsights.com/company/haize-labs) [join.haizelabs.com](https://join.haizelabs.com/)
- **Headquarters**: 222 Broadway, New York, New York 10007, United States [cbinsights.com](https://www.cbinsights.com/company/haize-labs)
- **Founded**: 2023 [cbinsights.com](https://www.cbinsights.com/company/haize-labs)
- **Founders**: Leonard Tang (Co‑Founder, CEO) and Steve Li (Co‑Founder) [haizelabs.com/about](https://www.haizelabs.com/about)

## Core Business

- **Primary industries**: AI reliability / safety, AI agent development, enterprise AI infrastructure.
- **Target customers**: B2B, Enterprise, and Government – including frontier AI labs, Fortune 500 banks, insurers, gaming companies, and national governments.
- **Mission**: “Solve the hardest problem in AI: making it reliable in the real world.”

## Products & Services

- **Reliability Harness** – A platform for deploying AI agents with 99.9% reliability. Includes:
  - **Red‑Teaming**: Automated adversarial and fuzz testing to discover vulnerabilities.
  - **Simulation Testing**: Exhaustive scenario validation before deployment.
  - **Guardrails**: Runtime constraints to keep outputs within policy boundaries.
  - **Supervisors**: AI monitors trained to oversee other agents for consistent performance.
  - **Annotation Tooling**: Labeling and evaluation tools to capture human nuance.
  - **Ongoing Improvement**: Continuous enhancement based on production interactions.
- **Judge**: Model‑based evaluators trained via scaled inference‑time compute.
- **Monitor**: Real‑time tracing, monitoring, and observability.
- **Robustify**: Continual improvement against bugs uncovered by Haize testing.
- **Professional Services** (Engagement Design): Agent development, knowledge transfer, exploratory phase, and validation against human experts.

## Market Standing

- **Valuation / Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding of $12.5M (Seed round; some sources list as Series A – conflicting reports).
- **Notable Investors**: Lead – General Catalyst. Also AI Grant Batch 4, and angel investors including the founder of Okta, former CISO of Google, CEO of Weights & Biases, CEO of Cognition Labs, CEO of Pika Labs, CEO of Replit, CTO of CodeSignal, CSO of HuggingFace, CEO of Etched, and others.
- **Advisors**: CISO of Databricks / Robinhood / Capital One, NYU Alignment Research Group professor, inventor of t‑SNE / Head of Llama Team at Meta AI, former Head of Responsible AI at Twitter/Accenture.
- **Growth Signals**: Customers include Anthropic, OpenAI, AI21 Labs, a Fortune 500 bank, top‑3 North American insurer, Canadian airline, $30B gaming company, Government of Singapore, and European digital bank. Media coverage in Washington Post, Business Insider, Forbes, PitchBook, VentureBeat. Founder named to Forbes 30 Under 30 (2025).

## Competitive Advantages

- **Deep focus on reliability** as the core AI problem, not side‑channels or wrapper products.
- **Proprietary Reliability Harness** combining red‑teaming, simulation, guardrails, and supervisor models.
- **Top‑tier team**: members from Stanford (PhD dropout), Citadel, Hudson River Trading, Harvard PhD, Datadog LLM observability founding engineer, and nonprofit founders.
- **Early partnerships** with frontier labs and large enterprises, giving unique exposure to real‑world deployment challenges.

## Strategic Focus

- Rapidly move AI agents from “POC purgatory” to production with guaranteed reliability.
- Become the “alignment layer” powering every AI system, for every use case, in every industry.
- Continue expanding customer base across finance, insurance, gaming, government, and beyond.

## Why Work Here

- **Culture**: “High‑agency, low‑ego” team; solve the hardest technical problem in AI; intense learning environment with “unmatched excellence.”
- **Work style**: Hybrid presence in New York (222 Broadway) and San Francisco. Open roles include engineering (Product Slinger, Software Engineer Intern, Staff+ Backend & Infra, Vertical AI Lead) and research (Applied Researcher, Research Intern).
- **Notable perks**: Work directly with top researchers and engineers; impact on AI safety at scale; early‑stage equity and fast‑paced decision making.
- **Engineering culture**: Emphasis on deep technical work, push to production quickly, collaboration with frontier labs.

## Sources

1. [haizelabs.com](https://haizelabs.com/)
2. [job-boards.greenhouse.io/haizelabs](https://job-boards.greenhouse.io/haizelabs)
3. [haizelabs.com/about](https://www.haizelabs.com/about)
4. [cbinsights.com/company/haize-labs](https://www.cbinsights.com/company/haize-labs)
5. [join.haizelabs.com](https://join.haizelabs.com/)

## Other roles at Haize Labs

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