AI Researcher, AISWP (Hybrid)
AI in this role
This is a hybrid role based out of Cisco's Seattle or San Jose office.
Meet the Team
The Cisco AI Research team is a dynamic group of scientists and engineers dedicated to building the future of proprietary intelligence. Our core mission is to develop purpose-built large language models tailored specifically for Cisco’s networking, security, and observability domains. We operate at the intersection of basic and applied research, ensuring that Cisco maintains its technological edge without reliance on external AI providers. Our team is composed of doers and experts who thrive in a collaborative environment, blending deep technical rigor with a shared passion for solving complex, real-world problems at a global scale.
Your Impact
As an AI Researcher, you will produce research advances in the field of Generative AI that improve the capabilities of models or agents for networking automation, human-computer interaction, model safety, or other strategic gen-AI powered networking areas. You will research building domain-specific foundational representations relevant to networking, etc. that provide differentiative value across diverse sets of applications. You will be a thought leader in the global research community via publishing papers, giving technical talks, organizing workshops etc.
- Help build purpose-built large language models to secure and optimize Cisco’s proprietary networking, security, data center, and observability infrastructure.
- Drive pre-training initiatives to build foundational models that provide unique, competitive value across our product portfolio.
- Conduct innovative research in generative AI to improve model capabilities for networking automation and human-computer interaction.
- Collaborate with cross-functional teams of engineers and strategists to integrate research breakthroughs into tangible business solutions.
- Establish Cisco as a global thought leader by publishing research in top-tier AI venues and contributing to the broader scientific community.
Minimum qualifications
- Bachelor's in computer science + 5 years of related experience, or Masters + 3 years of related experience, or PhD + 0 years of related experience,
- Experience with LLM pre-training and post training experience within an industry or academic research lab and
- Minimum of 3 publications within top AI Venues such as ACL, EMNLP, ICLR, ICML, NAACL, NeurIPS
- Experience working with Machine Learning Models (MLMs) and familiarity with associated frameworks, such as TensorFlow, PyTorch, Hugging Face, or equivalent platforms
- Prior experience driving research projects within an industry or university research lab (full-time, internship etc.)
Preferred qualifications
- Interest in combining representation learning and problem-specific properties
- Experience in building, fine-tuning foundation models including LLMs and multi-modal models or domain specific models
- Ability to maintain cutting-edge knowledge in generative AI, Large Language Models (LLMs), and multi-modal models and apply these technologies innovatively to emerging business problems, use cases, and scenarios
- Strong communication, interpersonal, relationship building skills conducive to collaboration
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.
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.
Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $184,000.00 to $238,800.00 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. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
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. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:
10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco
Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)
80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next
Additional paid time away may be requested to deal with critical or emergency issues for family members
Optional 10 paid days per full calendar year to volunteer
For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.
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. 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 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
The applicable full salary ranges for this position, by specific state, are listed below:
New York City Metro Area:
$184,000.00 - $274,600.00Non-Metro New York state & Washington state:
$168,000.00 - $244,300.00* For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.
** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
How we rate this
AI Researcher, AISWP (Hybrid) at Cisco rates 87 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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Skills and AI tools this role asks for
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Tell me about a research question you investigated. What did you find?
- What are the limits of Hugging Face that you've run into, and how did you work around them?
- What's a project where you used PyTorch hands-on?
- Walk me through how you've used TensorFlow in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Fine Tuning, AI Research, Hugging Face, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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