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

Product Slinger

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 a Product Slinger to 1) originate products in new verticals and 2) rapidly scale and refine our products in existing verticals. This role spans engineering (rapidly building AI agents), product (embedding with customers to understand their pain), and customer management (scoping, planning, relationship-building).

In this role, you will:

• Build agents for almost any business you can imagine
• Become a renaissance engineer, i.e. an expert across many domains 
• Spend a LOT of time with the customer
• Rapidly (<24 hours) prototype solutions
• Be the PM: own entire solution delivery from scoping to handoff

You are a great fit if you:

• Are relentless, move insanely fast, and are always questioning the status quo
• Know the startup stack, and realize when tech debt is necessary
• Want to deliver real economic value for real people doing real work in the real world

Ideal candidates likely:

• Have been an FDE
• Previously started their own company
• Shipped popular tools (e.g. OS projects)

Staff+ Software Engineer, Backend and Infra

Haize Labs takes AI-based applications from proof-of-concept to production. We eliminate risk and improve the reliability of LLM-based applications by haizing them – i.e. rigorously, proactively, and continuously fuzz-testing them.

We are looking for a talented and experienced backend + infrastructure engineer to help build out our AI reliability platform. You will play a foundational role in designing and driving forward the core technology that puts our cutting-edge AI research in the hands of customers, empowering them to build AI applications that are trustworthy, robust, and ready for production.

This is an opportunity to directly influence how AI applications are tested, verified, and deployed by everyone from frontier AI labs to massive enterprises across a wide range of industries.

In this role, you will:

• Design and build scalable infrastructure and systems to orchestrate tens of thousands of LLM calls per second, powering functionality like model evaluations, red team attacks, runtime guardrails, and more
• Collaborate closely with the research team and deploy innovative new models to build industry-leading AI reliability tooling
• Interface directly with customers to understand and address their pain points, design intuitive new user workflows that streamline their journey, and guide them on the evaluation methodology Haize has pioneered
• Act as a technical leader across the organization, mentoring top talent and helping set technical direction and vision for the company
• Develop and uphold processes and best practices that reinforce the operational excellence of our team

You may be a good fit if you:

• Have 7+ years of industry experience, including 3+ years leading large initiatives as an engineer or manager
• Have a proven track record of designing, building, and scaling complex distributed systems that solve critical business problems
• Have strong proficiency in one or more backend programming languages (e.g. Python, Go, Rust)
• Are deeply knowledgeable about modern cloud infrastructure, including technologies like Kubernetes and Terraform, and platforms like AWS, GCP, and Azure
• Have a strong understanding of relational and NoSQL databases (we use Postgres, MongoDB, and Redis, among others)
• Take a pragmatic, outcomes-focused approach to solving ambiguous technical and business problems
• Are passionate about building products and platforms that feel magical to use

Strong candidates may also:

• Have experience doing applied AI/ML
• Have strong familiarity with security and privacy best practices
• Have built and/or operated large scale, GPU-based model training and serving infrastructure
• Have experience working on multi-datacenter, cloud-agnostic systems

Logistics

• Education requirement: Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Location policy: 6 days a week, in person, in NYC.
• US visa sponsorship: If you are exceptional, we will sponsor.

Compensation

$200,000 – $300,000 annual salary + equity + benefits

About us

At Haize, we're not here to write GPT wrappers or get rich quick off the AI bubble. We're here to solve the hardest problem in AI: making it safe, reliable, and production-ready. 

Since our company's inception in 2024, we've amassed amazing customers including OpenAI, Anthropic, AI21, and more. We've developed best-in-class tooling for evaluation, dynamic testing, red-teaming, observability, and continuous “robustification” of AI applications. And we’re backed + advised by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, and Replit, as well as C-suite execs from Google, Stripe, Databricks, Robinhood, and more.

Our core team is exceptionally well-suited to accomplish our mission. We’ve turned down opportunities like Stanford PhD programs and Y Combinator in order to pursue this goal, and we have experience doing AI research and engineering at places like Harvard, MIT, Citadel, Datadog, and McKinsey QuantumBlack (to name a few).

We can only serve our mission with an incredibly talented and hard-working team, and we hope that includes you. Come to Haize to push yourself, learn fast, experience excellence, grow with each other, and pursue your life's work.

Haize Labs gets LLM apps out of POCs and into production. We eliminate the risk and improve the reliability of LLM apps by haizing them -- i.e. rigorously, proactively, and continuously fuzz-testing them.

We are looking for Software Engineering Interns to help develop our reliability platform, with a focus on:

1. Data-efficient alignment of evaluation models
2. Dynamic testing of AI applications
3. Observability and anomaly detection 
4. Discrete optimization (with applications in architecture search and automated prompting)

Our work is both intellectually stimulating and practically useful. Your work will result in net-new primitives, frameworks, and algorithms for developing robust LLM applications. You work will directly influence how LLM apps are tested, verified, and deployed everywhere. 

Annual Salary

$100,000 – $125,000 USD

Responsibilities

• Work directly with customers to adapt our core R&D for different domains.
• Build out core infra, cloud tooling, and UX around our algorithms.
• Ship delightful tools that are used by AI application developers all across the world. 

Qualifications

• High-agency, customer-centric full-stack experience, e.g. ex-founder or ex-founding engineer.
• Strong open source presence or strong track record of software engineering projects and employment.
• Experience with ML in an applied setting.
• Can ramp up quickly to understand our research.

Logistics

• Location policy: In NYC.
• US visa sponsorship: If you are exceptional, we will sponsor.
• Compensation and Benefits: We provide generous salary, equity, and benefits

We're Not Here to Play Games.

We're not here to write GPT wrappers or get rich quick off the AI bubble. We're here to solve the hardest problem in AI: making it safe, reliable, and production-ready. 

Since our company's inception in 2024, we've amassed amazing customers like OpenAI, Anthropic, AI21, and several others. We've developed best-in-class tooling for evaluation, dynamic testing, red-teaming, observability, and continuous robustification. And we’re backed + advised by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, Replit and C-suite execs from Google, Stripe, Databricks, Robinhood, and more.

Our core team is exceptionally fit for this mission. We turned down Stanford PhDs, got into & rejected Y Combinator, wrote ML-guided matchmaking for 50,000+ students, built an educational nonprofit supporting 60 countries, and did some other cool things along the way. Our early hires include an MIT PhD with 21,000+ Physics/ML/Stats citations, a Datadog engineering manager who led their GenAI observability team, a Citadel quant with a huge open-source presence, and more.

We can only serve our mission with an incredibly high talent-density team. Come here to push yourself, learn fast, experience excellence, grow with each other, and pursue your life's work.

Haize Labs haizes LLMs at scale. We are the robustness layer eliminating the risk of using language models in any setting. To prevent these systems from failing, we preemptively discover all the ways in which they can fail and continuously eliminate them in deployment.

We are looking for Research Interns to help us to develop fundamental safety tooling for LLMs. Your work will not only set the standard both in terms of research, but also in terms of how LLMs are tested, verified, and applied across customers, companies, and industries. You will directly influence how the world responsibly uses LLMs.

Responsibilities

• Work directly with customers to adapt our core R&D for different domains.
• Build out core infra, cloud tooling, and UX around our algorithms.
• Deliver a delightful human-in-the-loop product experience.
• Ship tools that are used by developers across the world. 

Qualifications

• Experience with ML in an applied setting.
• Strong open source presence or strong track record of software engineering projects and employment.
• Can ramp up very quickly on understanding our research.
• Love to break things, i.e. have a “stick it to the Man” attitude.

Annual Salary

$125,000 – $200,000 USD

Logistics

Location policy: 6 days a week, in person, in NYC.

US visa sponsorship: If you are exceptional, we will sponsor your visa.

We encourage you to apply even if you do not believe you meet every single qualification: We’re open to considering a wide range of perspectives and experiences, and would love to chat with you.

Compensation and Benefits: Haize Lab’s provides generous salary, equity, and benefits.

What sets us apart

We are not here to write GPT wrappers or get rich quick off the AI bubble. We're here to work on the hardest, most fundamental research problem in AI: making it reliable and robust. Come here to push yourself, learn fast, experience excellence, and kickstart your life's work. We value our team above all else, and firmly believe that greatness begets greatness.

Since starting 6 months ago, we’ve developed a suite of safety tools that’s being used at places like Anthropic, AI21, Scale AI, and several other foundation model providers. We’ve been fortunate enough to be backed by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, Replit as well as rockstar AI and security executives from Stripe, Anduril, and Netflix. We’re lucky to be advised by professors from CMU and Harvard.

Our founding team has been working together for quite some time. We are turning down our Stanford PhD offers to send it on Haize Labs, have gotten into Y Combinator and other accelerators multiple times (and turned down multiple times), were the first Student Researcher at Allen AI, co-led R&D at a Series A NLP startup, wrote ML-guided matchmaking services for 50,000+ students, built an educational nonprofit supporting 60 countries, and did some other cool things along the way.

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 a Vertical AI Lead to “own the P&L” of our agent deployments in each vertical. This role spans engineering (rapidly building AI agents), product (embedding with customers to understand their pain), GTM (unlocking distribution and winning sales), and customer management (scoping, planning, relationship-building).

About the role

This role is all the fun parts of being a Founder without nearly as much of the pain. You will go 0-1 and scale products repeatedly. Team members who succeed in this role will likely go on to start their own companies. We would consider that a successful hire.

You bring the entrepreneurial spirit. Haize brings the agent foundry, research talent, distribution, experience, compensation, and capital to enable you to sprint faster and swing bigger than you could starting from scratch.

We’re looking for people who are ridiculously high agency and ridiculously high urgency: individuals who start without waiting for instructions. Individuals who think on the fly and unblock themselves. Individuals who evolve with the problem, own the outcome, and deliver.

In this role, you will:

• Build agents for almost any business you can imagine
• Become a renaissance engineer, i.e. an expert across many domains 
• Unlock “apex distributors” in each vertical
• Learn the lingua franca of each vertical
• Originate and execute unconventional GTM strategies
• Spend a LOT of time with the customer
• Rapidly (<24 hours) prototype solutions
• Be the PM: own entire solution delivery from scoping to handoff
• Lead demos and workshops for customers
• Maintain technical customer-facing documentation
• Take learnings back to refine the Haize Reliability Harness
• Collaborate closely with Research, Core Engineering, and GTM team

You are a great fit if you:

• Are relentless, move insanely fast, and are always questioning the status quo
• Think clearly and communicate cogently under pressure and on the fly
• Are charismatic in front of customers
• Know the startup stack, and realize tech debt is necessary
• Want to deliver real economic value with AI

Ideal candidates likely:

• Have been an FDE
• Previously started their own company
• Shipped popular tools (e.g. OS projects)

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

$150,000 – $250,000 annual salary
And generous equity + benefits