Swarm Machine Learning Engineer-Principal Engineer
-
Location:Offsite, San Jose, California, US
-
Alternate LocationRemote, USA
-
Area of InterestEngineer - Software
-
Compensation Range178700 USD - 314200 USD
-
Job TypeProfessional
-
Technology InterestSecurity
-
Job Id1445374
The application window is expected to close on 7/23/2025.
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Strong preference will be given to candidates located in Austin, TX; Bay Area Metro; Atlanta Metro; Ann Arbor, MI; Boston Metro; Fulton/DC Metro; Seattle, WA; and Research Triangle Park.
AI at Cisco
With Cisco, you're not just embracing the future - you're helping create it! We are focused on integrating AI into our solutions to transform collaboration, security, networking, observability, and more. We are innovating ethical AI products and infrastructure that enable our customers to stay ahead of cyberattacks, predict and prevent network outages, and make team meetings more productive. Our extensive data sets and broad customer reach means limitless possibilities for you to build impactful AI solutions that solve a wide array of real-world problems. Join us at Cisco where you will innovate with top AI experts and be a part of our mission to power an inclusive future for all.
AI in the Business Unit
The Cisco Security group includes such industry leading security suites and products as Hypershield, Cisco Secure Access, Identity Intelligence, Duo, XDR, Cisco Security AI, Talos, and more. We are using machine learning and GenAI across our products to simplify security, prevent sophisticated attacks, and ensure the secure use of large language models (LLMs).
In Security, we are building AI-enhanced cybersecurity for better outcomes, combining AI with the breadth of Cisco telemetry across the network, private and public cloud infrastructure, applications, internet, email, and endpoints. With Security AI, we make it simple to use natural language instruction and interact with GenAI – from deploying and managing firewall policies to streamlining incident response. With Duo, we are creating extensive machine learning and analytics to detect and block suspicious users. We are harnessing our rich security expertise in conjunction with AIML to transform the way we assist, augment, and automate security efforts for our customers! We need your help to tip the scale in favor of defenders and enable enterprises everywhere to cancel bad actors.
Meet the Team
You will be a part of our Cisco Security Innovation team within the security business group. This team incubates ideas that turn into the future of Cisco’s innovative security solutions. You will play a pivotal role in driving scalable performant AI models to improve the efficacy of threat detections. You will bring your expertise in deep learning and large transformer models conduct research, design and development of state-of-the-art ML/AI techniques applicable to threat detection, including anomaly detection, behavioral analysis, signature generation, and predictive modeling. The techniques are focused on real-time efficacy and evaluating scalable architectures.
Your Impact
- Lead by example as a hands-on architect and technical expert who designs and builds cutting-edge systems that detect and analyze security threats.
- Use deep understanding of the threat landscape to propose innovative solutions to counter threats targeting Cisco’s customers.
- Leverage modern AI/ML techniques to improve the accuracy of threat detection solutions and automate/accelerate manual analysis processes.
- Develop and implement advanced machine learning models across different hardware environments (including cloud and network edge); models may include adapting neural network architectures or creating novel ones to address challenges.
- Drive the training, validation, and fine-tuning of models, developing methods to identify performance metrics especially of the hardware accelerated models.
- Analyze and extract significant patterns in high-dimensional data spaces using advanced techniques.
- Implement robust software systems for integrating and maintaining machine learning models
- Collaborate with software engineering teams to design primary deployment strategies for machine learning models into security systems.
- Establish and maintain best practices for machine learning and security operations, including clear documentation of models and procedures.
Minimum Qualifications:
- Bachelor’s degree or higher in Computer Science or related field
- 7+ years of related security experience, specifically in the areas of network security or malware analysis
- Experience developing robust and scalable code for cybersecurity analytics
- Experience with state-of-the art machine learning techniques and libraries
- Experience with writing high-quality code and modern application development frameworks
Preferred Qualifications:
- Master’s or PhD degree in Computer Science, Computer Engineering, or a related field
- A strategic problem solver in the areas of threat detection and analysis
- Ability to get consensus and set technical direction within a large engineering organization
- Experience optimizing machine learning or deep learning models for specific hardware
- Familiarity with hardware acceleration libraries (e.g., Morpheus, cuDNN, TensorRT, OpenVINO).
- Experience with containerization technologies (e.g., Docker, Kubernetes) in the context of hardware-specific deployments
- Knowledge of cybersecurity concepts and threat detection methodologies
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Simply put – we power the future.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
#LI-RN1
#LI-Remote
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.
U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco’s flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco’s Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.