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Senior AI Data Scientist
Chaos Labs · United States
Pay
$179k–217k
Setting
Remote
Chaos Labs
ALL JOBS
Senior AI Data Scientist
Data Science
United States
Senior
Full-time
Description
Chaos Labs is building a new AI platform for the enterprise, focused on how organizations operate and create value in an AI-native world. We’re bringing years of experience building applied AI and mission-critical infrastructure to a new category of enterprise software. Previously, Chaos Labs built the leading risk management platform for on-chain finance, processing more than $5 trillion in financial volume and managing tens of billions of dollars in assets. We’ve raised $65 million from Haun Ventures, Lightspeed, Galaxy, General Catalyst, Bessemer, F-Prime, PayPal, and others. We’re currently operating in stealth and building with a small team around a technically ambitious problem we believe will become increasingly important as AI reshapes how companies work.
How We Work
Chaos is built around high-agency, high-talent individual contributors. We keep teams small, give people meaningful ownership, and expect them to operate with autonomy, strong judgment, and a high bar for their craft. We hire people who can take an ambiguous, important problem and drive it forward — not just execute against a predefined roadmap. Titles matter less than impact, and the people closest to a problem are trusted to make decisions and own outcomes.We move fast, stay close to the work, and care deeply about building things exceptionally well. Ownership over instruction. Impact over hierarchy.
The Role
We’re hiring a Senior Data Scientist, Applied AI to own the development and evaluation of machine learning systems that power our enterprise AI platform. This is a high-impact role with significant ownership from day one. You’ll work closely with the Chief Science Officer, and Engineering to build and deploy production ML and LLM-powered capabilities while using rigorous experimentation, evaluation, and product analytics to continuously improve their quality, user impact, and business outcomes., taking problems from ambiguity through execution and measurable impact.
What You'll Do
Design and build machine learning systems that power enterprise search, retrieval, recommendations, and AI agents.
Develop evaluation frameworks and metrics to measure the quality, performance, and business impact of LLM-powered applications.
Build scalable data and ML pipelines that process and analyze large-scale AI interaction data.
Apply statistical modeling, experimentation, and causal inference to guide product development and strategic decision-making.
Collaborate closely with Product, Engineering, and Design to translate research and insights into production features.
Analyze product usage and customer behavior to identify opportunities for improving AI adoption, productivity, and user experience.
Prototype, evaluate, and deploy new AI capabilities using foundation models, embeddings, and retrieval-augmented generation (RAG) techniques.
Define key performance indicators and build analytical frameworks that inform product strategy and company-wide decisions.
Contribute to the technical direction of our AI platform by identifying new opportunities to leverage machine learning and generative AI.
Identify opportunities, form strong points of view, and turn them into action.
Requirements
5+ years of experience in Data Science, Applied Machine Learning, or a quantitative research role.
A degree in Computer Science, Statistics, Mathematics, Machine Learning, Economics, Physics, or another highly quantitative field.
A track record of developing and deploying machine learning models in production and turning ambiguous problems into measurable solutions.
Strong proficiency in Python and SQL, with experience building scalable data and ML pipelines.
Deep understanding of statistics, experimentation, causal inference, and predictive modeling.
Experience working with large-scale datasets and modern data infrastructure.
Familiarity with LLMs, embeddings, retrieval systems, RAG, or AI agents.
Strong analytical and technical judgment, with the ability to translate ambiguous product and business questions into rigorous analytical or machine learning approaches.
Excellent communication skills and the ability to work cross-functionally with Engineering, Product, Design, and Leadership.
Comfort operating in ambiguity and taking ownership without waiting for direction.
Exceptional standards for your own work and the ability to move quickly without sacrificing quality.
Preferred Qualifications
Experience building or evaluating LLM-powered products or AI applications.
Background in search, recommendation systems, information retrieval, or knowledge graphs.
Experience designing A/B tests, offline evaluations, and ML benchmarking frameworks.
Familiarity with vector databases, embedding models, and agent orchestration frameworks.
Contributions to open-source ML projects or publications in machine learning, NLP, or related fields.
Experience in B2B SaaS, developer tools, or enterprise AI products.
Based in NYC and able to work from our Brooklyn office, or remote within the U.S. with the ability to travel up to 30% of the year for in-person team collaboration.
Benefits
Paid Time Off – 21 vacation days + 7 sick days + 8 observed U.S. company holidays
Health Coverage – 100% employer-paid options (medical, dental & vision) for you and your dependents
FSA / HSA Options – depending on selected health insurance plan
Wellness Programs – OneMedical, Teladoc, Talkspace, and EAP
401(k) - with a 100% company match on the first 6% contributed
Career Growth – opportunities in a rapidly expanding, global technology company with personalized professional development
Pre-tax Commuter Benefits
Compensation & Equity – competitive package aligned with growth and merit
Salary and Seniority level commensurate with experience (range: $ 179K - 217K)
APPLY FOR THIS JOB
ALL JOBS
Terms & Policies · Cookies
Listed by Chaos Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior AI Data Scientist
Chaos Labs · Remote
Pay
Not listed
Setting
Remote
Chaos Labs
ALL JOBS
Senior AI Data Scientist
Data Science
Remote
Senior
Full-time
Description
Chaos Labs builds infrastructure for organizations adopting AI at scale. Our products help organizations understand their AI work, capture the knowledge it generates, and turn everyday AI activity into intelligence they own.
Reporting directly to the Chief Science Officer we are looking for a talented Senior AI Data Scientist to join our team and help shape the future of AI.
Responsibilities
Design and build machine learning systems that power enterprise search, retrieval, recommendations, and AI agents.
Develop evaluation frameworks and metrics to measure the quality, performance, and business impact of LLM-powered applications.
Build scalable data and ML pipelines that process and analyze large-scale AI interaction data.
Apply statistical modeling, experimentation, and causal inference to guide product development and strategic decision-making.
Collaborate closely with Product, Engineering, and Design to translate research and insights into production features.
Analyze product usage and customer behavior to identify opportunities for improving AI adoption, productivity, and user experience.
Prototype, evaluate, and deploy new AI capabilities using foundation models, embeddings, and retrieval-augmented generation (RAG) techniques.
Define key performance indicators and build analytical frameworks that inform product strategy and company-wide decisions.
Contribute to the technical direction of our AI platform by identifying new opportunities to leverage machine learning and generative AI.
Mentor junior team members and help establish best practices in data science, experimentation, and machine learning across the organization.
Requirements
5+ years of experience in Data Science, Applied Machine Learning, or a quantitative research role (or 3+ years with a PhD).
Degree in Computer Science, Statistics, Mathematics, Machine Learning, Economics, Physics, or another highly quantitative field.
Strong proficiency in Python and SQL, with experience building scalable data and ML pipelines.
Deep understanding of statistics, experimentation, causal inference, and predictive modeling.
Experience developing and deploying machine learning models in production.
Experience working with large-scale datasets and modern data infrastructure.
Familiarity with LLMs, embeddings, retrieval systems, RAG, or AI agents.
Strong analytical thinking with the ability to translate ambiguous problems into measurable solutions.
Excellent communication skills and the ability to work cross-functionally with engineering, product, and leadership.
Comfortable operating in a fast-paced, high-ownership startup environment.
Preferred Qualifications
Based in NYC with the ability to work from our Brooklyn office, or the ability to work remotely, with travel up to 30% of the year to collaborate in person with the team.
Experience building or evaluating LLM-powered products or AI applications.
Background in search, recommendation systems, information retrieval, or knowledge graphs.
Experience designing A/B tests, offline evaluations, and ML benchmarking frameworks.
Familiarity with vector databases, embedding models, and agent orchestration frameworks.
Contributions to open-source ML projects or publications in machine learning, NLP, or related fields.
Experience in B2B SaaS, developer tools, or enterprise AI products.
Based in NYC and able to work from our Brooklyn office, or remote within the U.S. with the ability to travel up to 30% for team collaboration.
Benefits:
Compensation & Equity – competitive package aligned with growth, performance, and merit
Career Growth Opportunities – be part of a rapidly expanding, global technology company with room to grow professionally
APPLY FOR THIS JOB
ALL JOBS
Terms & Policies · Cookies
Listed by Chaos Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Full Stack AI Engineer
Chaos Labs · United States
Pay
$196k–212k
Setting
Remote
Listed by Chaos Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Full Stack AI Engineer
Chaos Labs · Remote
Pay
Not listed
Setting
Remote
Chaos Labs
ALL JOBS
Senior Full Stack AI Engineer
Engineering
Remote
Senior
Full-time
Description
Chaos Labs is building a new AI platform for the enterprise, focused on how organizations operate and create value in an AI-native world. We’re bringing years of experience building applied AI and mission-critical infrastructure to a new category of enterprise software. Previously, Chaos Labs built the leading risk management platform for on-chain finance, processing more than $5 trillion in financial volume and managing tens of billions of dollars in assets.
We’ve raised $65 million from Haun Ventures, Lightspeed, Galaxy, General Catalyst, Bessemer, F-Prime, PayPal, and others. We’re currently operating in stealth and building with a small team around a technically ambitious problem we believe will become increasingly important as AI reshapes how companies work.
How We Work
Chaos is built around high-agency, high-talent individual contributors. We keep teams small, give people meaningful ownership, and expect them to operate with autonomy, strong judgment, and a high bar for their craft. We hire people who can take an ambiguous, important problem and drive it forward — not just execute against a predefined roadmap. Titles matter less than impact, and the people closest to a problem are trusted to make decisions and own outcomes.
We move fast, stay close to the work, and care deeply about building things exceptionally well. Ownership over instruction. Impact over hierarchy.
The Role
We’re hiring a Senior Full-Stack AI Software Engineer to own the design, development, and operation of full-stack applications and infrastructure that power our enterprise AI platform.
This is a high-impact role with significant ownership from day one. You’ll work closely with Product, Engineering, and other cross-functional partners to build reliable, scalable, and high-performance products across the frontend and backend, taking problems from ambiguity through execution and measurable impact.
You’ll work across the stack — from responsive React applications and backend APIs to cloud infrastructure, databases, integrations, and deployment pipelines — with opportunities to build AI-powered product capabilities using modern LLM technologies.
What You’ll Do
Own the design and development of full-stack product experiences end to end, building responsive frontend applications exclusively with React and TypeScript and scalable backend services and APIs using Python and Rust.
Drive the development of reliable, scalable, secure, and high-performance applications, continuously improving application performance, reliability, security, and cost.
Partner with Product, Engineering, and cross-functional teams to translate ambiguous product and technical problems into production-ready solutions.
Build and improve the underlying cloud infrastructure, databases, integrations, automated tests, and CI/CD pipelines, integrating applications with AWS infrastructure.
Develop AI-powered product capabilities, where relevant, using LLMs, RAG, embeddings, vector databases, and AI agents.
Identify technical and product opportunities, form strong points of view, and turn them into action.
What We’re Looking For
5+ years of professional software engineering experience.
Strong proficiency in Python and JavaScript/TypeScript.
Expertise with RAG, embeddings, vector databases, AI agents, and prompt evaluation techniques.
Production experience building applications with React.
Experience building backend APIs and distributed systems.
Expertise with AWS.
Familiarity with Kubernetes.
Experience working with SQL and NoSQL databases.
Strong communication, product thinking, and problem-solving skills.
Comfort taking ownership of ambiguous technical problems and driving them from design through production.
Ability to operate effectively in a fast-paced, collaborative environment.
Requirements
5+ years of professional software engineering experience.
Strong Python and JavaScript/TypeScript skills.
Production experience with React.
Backend API and distributed-systems experience.
Familiarity with AWS, Azure or GCP.
Familiarity with Kubernetes
Familiarity with SQL and NoSQL databases.
Experience with Rust, Go, or another statically typed language is a plus.
Familiarity with RAG, embeddings, vector databases, AI agents, and prompt evaluation.
Strong communication, product thinking, and problem-solving skills.
Preferred Qualifications
Experience with Rust, or another statically typed language.
Familiarity with RAG, embeddings, vector databases, AI agents, and prompt evaluation.
Familiarity with profiling tools and performance optimization techniques.
Benefits:
Compensation & Equity – competitive package aligned with growth, performance, and merit
Career Growth Opportunities – be part of a rapidly expanding, global technology company with room to grow professionally
APPLY FOR THIS JOB
ALL JOBS
Terms & Policies · Cookies
Listed by Chaos Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
Forward Deployed Engineer
Chaos Labs · United States
Pay
$149k–185k
Setting
Remote
Chaos Labs
ALL JOBS
Forward Deployed Engineer
Business
United States
Senior
Full-time
Description
Chaos Labs is building a new AI platform for the enterprise, focused on how organizations operate and create value in an AI-native world. We’re bringing years of experience building applied AI and mission-critical infrastructure to a new category of enterprise software.
Previously, Chaos Labs built the leading risk management platform for on-chain finance, processing more than $5 trillion in financial volume and managing tens of billions of dollars in assets.
We’ve raised $65 million from Haun Ventures, Lightspeed, Galaxy, General Catalyst, Bessemer, F-Prime, PayPal, and others. We’re building with a small team around a technically ambitious problem we believe will become increasingly important as AI reshapes how companies work.
How We Work
Chaos is built around high-agency, high-talent individual contributors. We keep teams small, give people meaningful ownership, and expect them to operate with autonomy, strong judgment, and a high bar for their craft. We hire people who can take an ambiguous, important problem and drive it forward — not just execute against a predefined roadmap. Titles matter less than impact, and the people closest to a problem are trusted to make decisions and own outcomes. We move fast, stay close to the work, and care deeply about building things exceptionally well. Ownership over instruction. Impact over hierarchy.
The Role
We’re hiring a Forward Deployed Engineer to own the technical customer journey and turn complex customer problems into production AI solutions that deliver measurable value. This is a high-impact role with significant ownership from day one. You’ll work closely with our Product Lead, VP of Sales, and Engineering teams to take strategic customers from technical discovery and solution design through implementation, production deployment, adoption, and expansion, taking problems from ambiguity through execution and measurable impact.
What You’ll Do
Own strategic AI deployments end to end, from discovery and scoping through architecture, implementation, evaluation, production rollout, and adoption.
Partner with our commercial team during pre-sales to lead technical discovery, solution design, and validation for strategic customer opportunities.
Drive post-sales technical success by leading implementation and integration work that moves customers from initial concept into production.
Build production AI systems using LLMs and modern AI models, including model APIs, tool calling, retrieval, and context management, structured outputs, and agentic workflows.
Bring customer insight back into the product, identifying patterns across deployments and turning one-off solutions into reusable components, tooling, playbooks, and product capabilities.
Identify opportunities, form strong points of view, and turn them into action.
Requirements
5+ years of experience as a Forward Deployed Engineer, Solutions Engineer, Sales Engineer, Founding Engineer, or Product Engineer with meaningful customer ownership.
A track record of taking ambiguous customer problems from discovery through production deployment
Strong technical and commercial judgment, with the ability to make effective trade-offs across customer needs, product capabilities, and engineering complexity.
Proficiency with SQL, APIs, integrations, authentication, cloud infrastructure, and production observability.
Ability to write clean code in Python and/or Rust and React/Typescript.
Hands-on experience building AI-powered applications, including working with model APIs, context management, tool calling, retrieval, evaluation, and cost-quality-latency tradeoffs.
Comfort operating in ambiguity and taking ownership without waiting for direction.
Exceptional standards for your own work and the ability to move quickly without sacrificing quality.
Preferred Qualifications
Based in NYC with the ability to work from our Brooklyn office, or the ability to work remotely, with travel up to 30% of the year to collaborate in person with the team.
Excellent written and spoken English, with the ability to communicate complex technical decisions clearly to both engineering and business audiences.
Familiarity with profiling tools and performance optimization techniques.
Demonstrated ability to work in a fast-paced, collaborative environment.
Benefits
Paid Time Off – 21 vacation days + 7 sick days + 8 observed U.S. company holidays
Health Coverage – 100% employer-paid options (medical, dental & vision) for you and your dependents
FSA / HSA Options – depending on selected health insurance plan
Wellness Programs – OneMedical, Teladoc, Talkspace, and EAP
401(k) - with a 100% company match on the first 6% contributed
Career Growth – opportunities in a rapidly expanding, global technology company with personalized professional development
Pre-tax Commuter Benefits
Compensation & Equity – aligned with growth and merit
Salary and Seniority level commensurate with experience (range: $149K-185K)
APPLY FOR THIS JOB
ALL JOBS
Terms & Policies · Cookies
Listed by Chaos Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
Forward Deployed Engineer
Chaos Labs · Remote
Pay
Not listed
Setting
Remote
Chaos Labs
ALL JOBS
Forward Deployed Engineer
Business
Remote
Senior
Full-time
Description
Chaos Labs is building a new AI platform for the enterprise, focused on how organizations operate and create value in an AI-native world. We’re bringing years of experience building applied AI and mission-critical infrastructure to a new category of enterprise software.
Previously, Chaos Labs built the leading risk management platform for on-chain finance, processing more than $5 trillion in financial volume and managing tens of billions of dollars in assets.
We’ve raised $65 million from Haun Ventures, Lightspeed, Galaxy, General Catalyst, Bessemer, F-Prime, PayPal, and others. We’re building with a small team around a technically ambitious problem we believe will become increasingly important as AI reshapes how companies work.
How We Work
Chaos is built around high-agency, high-talent individual contributors. We keep teams small, give people meaningful ownership, and expect them to operate with autonomy, strong judgment, and a high bar for their craft. We hire people who can take an ambiguous, important problem and drive it forward — not just execute against a predefined roadmap. Titles matter less than impact, and the people closest to a problem are trusted to make decisions and own outcomes. We move fast, stay close to the work, and care deeply about building things exceptionally well. Ownership over instruction. Impact over hierarchy.
The Role
We’re hiring a Forward Deployed Engineer to own the technical customer journey and turn complex customer problems into production AI solutions that deliver measurable value. This is a high-impact role with significant ownership from day one. You’ll work closely with our Product Lead, VP of Sales, and Engineering teams to take strategic customers from technical discovery and solution design through implementation, production deployment, adoption, and expansion, taking problems from ambiguity through execution and measurable impact.
What You’ll Do
Own strategic AI deployments end to end, from discovery and scoping through architecture, implementation, evaluation, production rollout, and adoption.
Partner with our commercial team during pre-sales to lead technical discovery, solution design, and validation for strategic customer opportunities.
Drive post-sales technical success by leading implementation and integration work that moves customers from initial concept into production.
Build production AI systems using LLMs and modern AI models, including model APIs, tool calling, retrieval, and context management, structured outputs, and agentic workflows.
Bring customer insight back into the product, identifying patterns across deployments and turning one-off solutions into reusable components, tooling, playbooks, and product capabilities.
Identify opportunities, form strong points of view, and turn them into action.
Requirements
5+ years of experience as a Forward Deployed Engineer, Solutions Engineer, Sales Engineer, Founding Engineer, or Product Engineer with meaningful customer ownership.
A track record of taking ambiguous customer problems from discovery through production deployment
Strong technical and commercial judgment, with the ability to make effective trade-offs across customer needs, product capabilities, and engineering complexity.
Proficiency with SQL, APIs, integrations, authentication, cloud infrastructure, and production observability.
Ability to write clean code in Python and/or Rust and React/Typescript.
Hands-on experience building AI-powered applications, including working with model APIs, context management, tool calling, retrieval, evaluation, and cost-quality-latency tradeoffs.
Comfort operating in ambiguity and taking ownership without waiting for direction.
Exceptional standards for your own work and the ability to move quickly without sacrificing quality.
Preferred Qualifications
Flexibility to work remotely. Ability to travel up to 30% of the year to collaborate in person with the team.
Excellent written and spoken English, with the ability to communicate complex technical decisions clearly to both engineering and business audiences.
Familiarity with profiling tools and performance optimization techniques.
Demonstrated ability to work in a fast-paced, collaborative environment.
Benefits
Compensation & Equity – competitive package aligned with growth, performance, and merit
Career Growth Opportunities – be part of a rapidly expanding, global technology company with room to grow professionally
APPLY FOR THIS JOB
ALL JOBS
Terms & Policies · Cookies
Listed by Chaos Labs for a position based in the United States. Employers on this board attest they are hiring domestically.
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