The application window is expected to close on: February 20, 2025. Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team The Cisco Talos Network Threat Detection Response Team creates network and endpoint signatures that are distributed world-wide to multiple products in Cisco’s security portfolio and the open-source community. We currently work with deep learning-based exploit detection to identify malicious activity in network traffic. Once released, these protections directly impact the security of people and organizations around the globe. Your Impact * Generate synthetic attack traffic used to train models * Create and maintain machine learning models capable of detecting new attacks * Test models for false positives, false negatives, and runtime latency * Collaborate with other teams to ensure quality results * Stay current with industry best practices and new techniques Minimum Qualifications * 3+ years of professional and/or educational experience using machine/deep learning frameworks such as TensorFlow and/or PyTorch * 3+ years of professional and/or education experience with complied languages, including C++ and Python * 3+ years of experience in analyzing, identifying, and exploiting a diverse range of vulnerabilities, including but not limited to buffer overflows, integer overflows, SQL injections, cross-site and server-side request forgery attacks, insecure deserializations, and authentication bypasses Preferred Qualifications * 3+ years of professional and/or educational experience in Computer Science or a relevant discipline * 3+ years of professional and/or education experience working on data science problems such as binary classification * Familiarity and experience with hardware acceleration * Familiar with basic network protocols, HTTP and DNS for example * Expertise in Natural Language Processing (NLP) with a strong focus on deep learning models (e.g., BERT, GPT, transformer-based architectures) and proficiency in tokenization, text generation, embeddings, entity recognition, and text classification. \#WeAreCisco #WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all. Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best. We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do! Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us! Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.