AI Researcher, AI Software & Platform

Key Skills

Aartificial intelligence, Effective communication skills, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), PyTorch, TensorFlow

Job Description

Who You Are

You are a passionate AI Researcher who is building their career through successfully building, fine tuning and deploying ML models that address real-world problems. You will have experience in the following areas:

Problem-Specific Model Customization: Experience adapting neural network architectures like GANs (Generative Adversarial Networks), Autoencoders, and Transformers or developing novel architectures to address unique challenges in different domains (e.g., NLP, computer vision, time series analysis).

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.

Innovative Solution Development: 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.

Model Scalability and Efficiency: Expertise in developing models that can be deployed in different environments, including understanding trade-offs between model complexity and performance.

Continuous Learning and Adaptation: Commitment to staying abreast of the latest research and trends in deep learning, continually integrating new findings and techniques into problem-solving approaches.

What You Will Do

In this role, you will tackle some of the most challenging issues facing businesses today. You will do this through:

Model Development: 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.

Solution Development: Build robust software systems to integrate, deploy, and maintain advanced ML models in production environments.

Deployment Strategy: Collaborate with software engineering teams to design and implement deployment strategies for models into security systems, ensuring scalability, reliability, and efficiency.

Documentation and Best Practices: Establish an effective process for machine learning and security operations, and maintain clear documentation of models, data pipelines, and security procedures.

Basic Qualifications

• Bachelors degree with 5+ years (or) Masters degree with 3+ years (or) PhD degree with 1+ year of software development industry experience
• 2+ years of industry experience in machine learning to include building, fine tuning and deploying machine learning models into production
• 2+ years of experience with machine learning libraries such as TensorFlow, PyTorch,or Skit-learn

Preferred Qualifications

• Experience in machine learning algorithms, deep learning, and statistical modeling.
• Experience in NLP and LLMs
• Experience in GenAI
• Proficient in cloud services for deploying models at scale
• Excellent problem-solving and communication skills, with the ability to explain complex concepts to non-technical teammates.

Why Cisco?

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

Message to applicants applying to work in the U.S. and/or Canada:

When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.