- +2
- +5
- California, United States
About
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This range is provided by Cisco. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$177,600.00/yr - $225,900.00/yr
Meet the Team
The mission AI Defense at Cisco is to provide end-to-end protection for Enterprise AI application. 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. We are pioneers in all aspects of AI security from supply chain to development time model vulnerability detection to protecting against real time attacks on deployed AI applications.
Your Impact
Join Cisco's AI Defense ML Team and be at the forefront of AI Security innovation.
Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that ensure AI safety and security for all. As a Machine Learning Engineer, you'll have the chance to design cutting-edge ML algorithms that detect and protect against AI security risks. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of detection techniques and their deployment in production environments. You will collaborate with a talented team of ML engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI safety and Security with us and make an enduring impact on AI adoption across the world!
As a Machine Learning Engineer, you will .
Track and identify AI security risks, experiment with latest ML techniques to build SoTA protections
Be hands-on and build e2e ML workflows, experimentation pipelines, evaluation strategies. Deploy and productize protection mechanisms.
Work with Senior Engineers to understand latest GenAI research and applications that lead to novel security risk
Participate in red-teaming assessments to help uncover threats, to gather context and collect data used to solidify our products.
Collaborate with Threat Hunting and research to help build novel synthetic data generation algorithms for new and emerging threats.
You'll have the opportunity to contribute to our overall machine learning culture as a member of the team.
Minimum Qualifications (Provide up to five (5) bullet points -
these should be clearly defined, objective, non-comparative, relevant, and quantifiable to appropriately evaluate applicants – not including soft skills ):
Bachelor with 3 year / Master degree with 1 year / PhD in Computer Science or related field
Minimum 2 years of experience in AI model development
A strong background in AI, machine learning, and deep learning technologies
Strong programming skills in generic programming languages such as Python or Golang.
Strong grounding in ML concepts like bias and variance, supervised & unsupervised learning, Generative AI etc.,
Preferred Qualifications (Provide up to five (5) bullet points:
these can include soft skills)
An attitude of hands-on learning and constant experimentation to decompose and understand problem areas.
Comfortable with fast iterative style development in an environment that requires autonomous thinking, risk taking and bias for action.
Ability to use the latest GenAI technologies and creative prompting. Comfortable with traditional ML frameworks like pytorch, TensorFlow, FastAI etc...
Excellent written and verbal communication skills, strong analytical and problem-solving skills.
#WeAreCisco
(This is the Standard and cannot be changed)
#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!
Seniority level
Seniority level Not Applicable
Employment type
Employment type Full-time
Job function
Job function Engineering and Information Technology
Industries Computer Hardware Manufacturing, Software Development, and Computer Networking Products
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Nice-to-have skills
- Machine Learning
- Deep Learning
- Python
- PyTorch
- TensorFlow
Work experience
- Machine Learning
- Cyber Security Specialist
Languages
- English