Job Description
The application window is expected to close on February 28, 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 the 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 Technical Leader, you will drive end-to-end ML solutions, designing and deploying transformer-based models, building data pipelines, optimizing ML infrastructure, and developing AI-powered systems that solve real-life industry challenges. You will work across modeling, infra, ML ops, and system development, collaborating with engineers, researchers, and customers to shape the future of AI.
Lead the design and deployment of end-to-end ML solutions for real-world applications
Develop and fine-tune transformer-based models for diverse AI challenges
Work across modeling, ML infrastructure, system development, and deployment
Collaborate with customers and internal teams to align AI solutions with business needs
Ensure AI models are scalable, robust, and production-ready
Provide technical mentorship and lead initiatives within the ML team
Research and apply cutting-edge ML techniques to optimize AI-driven products
Minimum Qualifications
Bachelors degree with 7+ years (or) Masters degree with 5+ years (or) PhD degree with 2+ year of software development industry experience
3+ years of industry experience in building ML Systems end-to-end (data processing, model training, deployment)
Experience in Python or Go and ML frameworks (PyTorch, TensorFlow)
Preferred Qualifications
Experience working with real-world AI problems, especially in customer-facing applications
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!
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.
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 the 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 Technical Leader, you will drive end-to-end ML solutions, designing and deploying transformer-based models, building data pipelines, optimizing ML infrastructure, and developing AI-powered systems that solve real-life industry challenges. You will work across modeling, infra, ML ops, and system development, collaborating with engineers, researchers, and customers to shape the future of AI.
Lead the design and deployment of end-to-end ML solutions for real-world applications
Develop and fine-tune transformer-based models for diverse AI challenges
Work across modeling, ML infrastructure, system development, and deployment
Collaborate with customers and internal teams to align AI solutions with business needs
Ensure AI models are scalable, robust, and production-ready
Provide technical mentorship and lead initiatives within the ML team
Research and apply cutting-edge ML techniques to optimize AI-driven products
Minimum Qualifications
Bachelors degree with 7+ years (or) Masters degree with 5+ years (or) PhD degree with 2+ year of software development industry experience
3+ years of industry experience in building ML Systems end-to-end (data processing, model training, deployment)
Experience in Python or Go and ML frameworks (PyTorch, TensorFlow)
Preferred Qualifications
Experience working with real-world AI problems, especially in customer-facing applications
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!
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.
Key skill Required
- Software Development
- Python
- Algorithms
- Cybersecurity
- Data Processing
- Affirmative Action
- Cloud Infrastructure
- Consulting
- Consumer Electronics
- Data Pipelines
- Deep Learning
- Design
- Development
- Electronics
- Inclusive
- Infrastructure
- Insurance
- Intelligence
- Internet
- Learning
- Orientation
- Passionate
- PyTorch
- Research
- Security
- Supply Chain
- Sustainability
- TensorFlow
- Training
- Transformer
- Work Independently
