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Lead Machine Learning Engineer

AntithesisVienna, Austria | Virginia, United StatesOnsite

About Antithesis


Antithesis is a continuous reliability platform that autonomously searches for problems in your software within a simulated environment. Every problem we find can be perfectly reproduced, allowing for efficient debugging of even the most complex problems.Find out more at antithesis.com.

About the position


We're looking for senior engineers to join our effort to build our autonomous testing product. As a Lead ML Engineer, you will work with a small, focused team on open-ended and novel applications of unsupervised representation learning. As part of Antithesis’s mission to revolutionize autonomous software testing, you will push the boundaries on fundamental questions of software exploration and guided fuzzing. Like all engineers, we value multiple skills and interests and want all ML Engineers contributing to software development projects across the team.

We're doing things nobody has done before, so we don't require expertise with any specific language or framework, etc. Mainly we care that: you're smart, get things done, a joy to work with, and are comfortable dealing with open-ended/poorly-defined problems. If that sounds like you, include with your resume a brief (one to two paragraph) explanation of an interesting technical challenge you've faced.

Life at Antithesis

We are pioneering the field of autonomous software testing - enabling our users to dramatically improve their software development speed and quality.
Thrive Here & What We Value• Innovative and pioneering approach to software testing.• Emphasis on autonomy and self-directed learning.• Encourages collaboration and teamwork.• Values diverse interests and skills.• Focuses on efficiency and productivity.• Values work-life balance and flexibility.• Builds trust and mentorship among team members.• Provides opportunities for professional growth and development.• Innovative and cutting-edge approach to software development.• Focuses on understanding customer needs.
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