I'm currently searching for machine learning engineers for a high-profile company in the D.C area.
Embracing the company's mission to revolutionize autonomous software testing, you'll spearhead groundbreaking work on fundamental questions surrounding software exploration and guided fuzzing.
At the company, they're venturing into uncharted territory, making expertise in specific languages or frameworks less important. What truly matters is that you're intelligent, results-driven, a pleasure to collaborate with, and adept at navigating open-ended or poorly defined problems.
Words from the company: "The research team is doing cutting-edge research on how to find bugs in software autonomously. This involves constructing novel algorithms building on ideas from a variety of fields within computer science and statistics including fuzzing, reinforcement learning, deep learning for text and image understanding, anomaly detection, program synthesis, and Monte Carlo sampling. We seek candidates who are comfortable reading and discussing research literature as well as implementing custom solutions where appropriate rather than using off-the-shelf models."
This is an extraordinary opportunity to be part of a team shaping the future of software testing.
Applications to mike@finna.groupI'm currently searching for machine learning engineers for a high-profile company in the D.C area.
Embracing the company's mission to revolutionize autonomous software testing, you'll spearhead groundbreaking work on fundamental questions surrounding software exploration and guided fuzzing.
At the company, they're venturing into uncharted territory, making expertise in specific languages or frameworks less important. What truly matters is that you're intelligent, results-driven, a pleasure to collaborate with, and adept at navigating open-ended or poorly defined problems.
Words from the company: "The research team is doing cutting-edge research on how to find bugs in software autonomously. This involves constructing novel algorithms building on ideas from a variety of fields within computer science and statistics including fuzzing, reinforcement learning, deep learning for text and image understanding, anomaly detection, program synthesis, and Monte Carlo sampling. We seek candidates who are comfortable reading and discussing research literature as well as implementing custom solutions where appropriate rather than using off-the-shelf models."
This is an extraordinary opportunity to be part of a team shaping the future of software testing.
Applications to mike@finna.group
