Adaptive is a next-generation cybersecurity platform.
We're working with pioneering security teams to protect critical systems from AI-powered cyber attacks. Our customers today include one of the…
Adaptive is a next-generation cybersecurity platform.
We're working with pioneering security teams to protect critical systems from AI-powered cyber attacks. Our customers today include one of the…
Notable investors: Andreessen Horowitz; OpenAI Startup Fund
Company Overview
Problem Domain
Defense against AI-powered social engineering (deepfakes, voice phishing, AI spear‑phishing) and security awareness
Founded
2024
Industry
Computer and Network Security
Funding Track Record
Series A- April 2025
$43,000,000
Announced co‑lead investors OpenAI Startup Fund and Andreessen Horowitz.
Series A (follow‑on)- September 2025
$12,000,000
Follow‑on investment bringing Series A total to $55M (company announcement).
Series B- December 16, 2025
$81,000,000
Company announcement of an $81M Series B with participation from existing investors.
Investor Signal
“Andreessen Horowitz; OpenAI Startup Fund; NVIDIA; Bain Capital Ventures; Capital One Ventures; Citi Ventures”
Founders
What we do
Join the Team
Founding Machine Learning Engineer
On-SiteNew York, US
On-Site • New York, US
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Who you are
8+ years of experience building ML systems in production, ideally with experience standing up the ML function at an early stage startup or as the senior or lead ML person at a previous company
Strong software engineering fundamentals. You write production-quality code in modern languages (Python, Java, TypeScript) and work within large codebases
Experience with cloud ML infrastructure (AWS SageMaker, Bedrock, Modal, Baseten, or similar)
Experience with common ML and data processing frameworks (PyTorch, Tensorflow, Spark)
Comfortable working across the stack — infrastructure, backend services, and data systems
Track record of mentoring MLEs and other engineers with observable, clear improvements in those you've worked with
High autonomy. You'll have support and context from leadership, but you're expected to define the path forward and drive it
What the job involves
We are seeking a Staff ML Engineer to define and build Adaptive's ML capabilities. Adaptive is an AI cybersecurity company whose products use LLMs and ML models to detect, classify, and respond to threats in real time
Benefits
Premium healthcare and wellness benefits - plans with zero cost to the employee
Unlimited PTO
Pre-tax commuter benefits
401k Plan
Surprise Wednesday Breakfasts
Monthly Company Events
Fully Stocked Fridge - Drinks & Snacks
Stock Options
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ML is central to the future of our products, and we need someone who can own the strategy, infrastructure, and execution for how we use it
We don't have dedicated ML infrastructure or an ML team today. You'll be building this from the ground up. You'll set the technical direction for how we use ML across the company, stand up the infrastructure, and do the hands-on work yourself
Define Adaptive's ML strategy: where ML should be applied across our products, what infrastructure we need, and how we should approach build vs. buy decisions
Design and build production ML systems end-to-end — data pipelines, model training, evaluation frameworks, and inference serving
Establish evaluation methodology. Define how we measure model quality, catch regressions, and make data-driven decisions about model changes
Own the strategy for getting the data you need, in the format you need it — what/how to label, how to build feedback loops, and how our models improve over time
Partner with product engineers to integrate ML into the product. You will write production code and work within our existing codebase
Over time, help build and lead the ML team as scope grows
