Machine Learning Engineer

4 weeks ago

San Jose CA, United States Cisco Full time

The Cisco Security AI team delivers AI products and platform for all Cisco Secure products and portfolios so businesses around the world can defend against threats and safeguard the most vital aspects of their business with security resilience. We are passionate about making our customers secure by simplifying security with zero compromise using AI and Machine Learning.
You are a passionate software engineer with a proven track record of successfully developing and implementing models that address real-world problems. Experience adapting neural network architectures like GANs (Generative Adversarial Networks), Autoencoders, Attention Mechanisms, and Transformers or developing novel architectures to address unique challenges in different domains (e.g., NLP, computer vision, time series analysis).
Handling High-Dimensional Data : Experience in managing and extracting useful patterns from high-dimensional data spaces, using techniques like dimensionality reduction or specialized network architectures.
Proficiency in NLP and LLM: Including experience with BERT, GPT, or similar, to effectively derive insights from structured and/or unstructured text data. Building custom real-world production NLP models for tasks like text generation or text summarization is a strong plus.
Ability to apply deep learning techniques innovatively to solve complex problems, often combining domain knowledge (from cybersecurity or other domains) and out-of-the-box thinking.
Expertise in developing models that can be deployed in different environments, including understanding trade-offs between model complexity and performance.
Commitment to staying abreast of the latest research and trends in deep learning, continually integrating new findings and techniques into problem-solving approaches.
Develop and implement advanced ML models and algorithms to tackle security problems, including threat detection, anomaly detection, and risk assessment.
Model Training and Evaluation: Lead the training, validation, and fine-tuning ML models using current techniques and libraries. Define and track security-specific metrics for model performance.
Build robust software systems to integrate, deploy, and maintain advanced ML models in production environments. This includes developing and optimizing software frameworks, ensuring seamless model integration, and rigorously testing systems to maintain high reliability and performance standards.
Deployment Strategy: Collaborate with software engineering teams to design and implement deployment strategies for models into security systems, ensuring scalability, reliability, and efficiency.
Establish an effective process for machine learning and security operations, and maintain clear documentation of models, data pipelines, and security procedures.
3+ years’ experience in programming languages such as Python or R, and experience with machine learning libraries (e.g., 2+ years’ experience building machine learning systems and scalable solutions.
~ BA / BS degree with 2+ years of experience (or) MS degree with 1+ years of experience as a machine learning engineer.

Expertise in machine learning algorithms, deep learning, and statistical modeling.
We bring our talents to work as a team each day, helping power an inclusive future for all. Have you heard of Threat, Detection & Response, Zero Trust by Duo, Common Services Engineering, or Cloud & Network Security? We #InnovateToWin and we know we’re better together, that’s why we’re dedicated to inclusivity, collaboration, and diversity in everything we do.
We’re proud to be the Best Security Company in 2021 with the Best Authentication Technology and the Best Small and Mid-Size Enterprises Security Solution in 2022 by SC Media. Cisco Secure continues to grow and evolve year after year with 100% of Fortune 100 Companies using our products, and we’re excited to see the new heights we’ll reach with your passion for security, your focus, and your desire to change things up
An ongoing investment in your growth—that’s why we offer many employee resource groups (called Inclusive Communities), mentorship programs, and hundreds of learning resources to consistently level up your experience and explore your interests. Chief of Staff, Engineering

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