About this role
Adaptive is hiring a full-time Founding Machine Learning Engineer to shape and build machine learning capabilities out of the New York office. This role is ideal for experienced machine learning professionals eager to establish infrastructure and tackle adversarial security challenges from day one.
Role Overview
Adaptive seeks its second machine learning engineer to define and build the machine learning foundation of the company. Products utilize machine learning and large language models to detect, classify, and respond to cyber threats in real time under strict latency constraints. Because the challenges are adversarial, models must adapt to evolving attacker tactics while operating with scarce labeled data for novel threats. This position requires establishing technical direction, setting up infrastructure from scratch, and executing hands-on implementation.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Adaptive is a cybersecurity startup backed by prominent investors including NVIDIA, OpenAI, Bain Capital Ventures, and Andreessen Horowitz. Founded by experienced repeat entrepreneurs Brian Long and Andrew Jones, the company protects leading enterprises against advanced threats such as deepfakes, smishing, and AI-driven voice scams.
How to Apply
Interested candidates should visit the official Adaptive careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
Where is this job located?
This position is based in New York, New York (NYC).
How many years of experience are required?
Candidates must have 4+ years of experience building machine learning systems in production.
What frameworks and technologies will I use?
The role utilizes Python, PyTorch, TensorFlow, AWS, TypeScript, Java, and Spark, along with cloud ML platforms.
Is remote work permitted?
No, this is an on-site role located in the New York office.
What benefits are included?
Benefits include competitive cash and stock options, medical coverage, a 401(k), unlimited PTO with a winter break, daily free lunches, and expense-covered dinners and rides.
