San Francisco, California, US
7 hours ago
Machine Learning Engineer - Robust Intelligence

The application window is expected to close on February 21, 2025 

 

Job posting may be removed earlier if the position is filled or if a sufficient number of applicants are received.  

 

This is a hybrid/ remote role. Stong preference will be given to candidates from the following locations: San Jose, San Francisco Bay area, California; Fulton/DC Metro; Austin, Texas; Ann Arbor, Michigan, RTP, North Carolina; Atlanta Metro, Georgia; Boston Metro, Massachusetts. 

 

Meet the Team 

 

Robust Intelligence’s mission is to secure AI transformation. The Robust Intelligence team joined Cisco through acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco. 

 

About Robust Intelligence 

Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the world’s largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024. 

 

Your Impact 

 

As a Senior Software Engineer, you will develop and deploy ML models, work on transformer-based architectures, and contribute to end-to-end AI solutions. You will collaborate with engineers, researchers, and customers, helping to build and scale AI applications that address real-world industry challenge 

Build and optimize ML models for diverse applications Develop and maintain ML infrastructure, pipelines, and deployment systems Work across modeling, ML infra, and system development to deliver AI-driven solutions Engage with customers and internal teams to refine AI models based on real-world feedback Collaborate with cross-functional teams to ensure AI solutions are scalable and production-ready Solve complex ML and AI system design challenges 

Minimum 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 Experience in Python or Go and ML frameworks (PyTorch, TensorFlow) 

 

Preferred Qualifications 

Strong understanding of ML Fundamentals, classic ML algorithms, modern transformer-based models and deep learning architectures Knowledge of LangChain, LlamaIndex, and Hugging Face models Background in AI security, risk detection, or fraud detection (a plus, but not required) Research experience or contributions to open-source ML projects Self-starter with a strong problem-solving skills and ability to work independently 

 

#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! 


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