AI Security Engineer
About the role
Plans, conducts, analyzes, and shares research that advances the field of AI, as it relates to networking, security, programming, human-computer interaction, or other strategic areas in computer science. Utilizes expertise in AI and research methodologies to develop research plans, build models, run experiments, and provide models and solutions to relevant teams. Serves as research strategy liaison to engineers and product managers and works collaboratively with product management, engineering, and design teams to identify business and AI research goals. Summarizes and communicates results to all relevant partners and stakeholders to influence decisions.
Responsibilities
- Executes a range of research tasks or short-term research initiatives (e.g., six-month research plan) independently; supports medium to large projects or leads small projects
- Influences features or a product team
- Applies a solid understanding and practical knowledge of at least one AI research tool/method along with broader research methods and ethical considerations
- Strengthens understanding of research approach/topic and collaborates with senior colleagues to design AI research studies integrating understanding of ethical considerations
- Makes use of specialized tools and frameworks to build, train, debug, and test AI models
- Makes use of the right tools/techniques according to business needs with minimal guidance
- Understands technical constraints and limitations of existing tools and frameworks
- Identifies appropriate AI research techniques and directs the use of structured prediction (e.g., network topologies, computational biology, natural language)
- Designs experiments and/or prototypes with the team
- Counsels end-to-end experiments and iterates on results/analysis
- Synthesizes data and generates insight statements and design recommendations in share-outs or reports
- Unearths basic themes and starts to create meta-analysis
- Drafts and structures comprehensible presentations
- Delivers and explains research findings, methods, and conclusions to team members and stakeholders
- Participates in cross-functional sessions with multiple stakeholders (e.g., design, product management, engineering)
- Coordinates and contributes to literature reviews, research science reports, academic papers, and analysis on topics and methodology
- Shares findings through write-ups or presentations
- Leverages familiarity with important sources of publication in the field to proactively share knowledge on own field of specialism
- Engages with either internal or external AI community through publications, talks, or discussions
- May mentor others in an informal capacity
Qualifications
- Bachelor’s + 5 years of related experience, or Master’s + 3 years of related experience, or PhD + 0 years of related experience
- Preferred Qualifications vary based on the team and business needs
Pay
The starting salary range posted for this position is $150,300.00 to $195,200.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training.
Schedule
Employees On Sales Plans Earn Performance-based Incentive Pay On Top Of Their Base Salary, Which Is Split Between Quota And Non-quota Components, Subject To The Applicable Cisco Plan.
Benefits
U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks.