STEM OPT AI Research Scientist Jobs

INTRODUCTION

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.

Applications are accepted until further notice.

Meet the Team

At Foundation AI, we are leading frontier AI research across Cisco. Our mission is to advance the state of AI. We translate that research into purpose-built models, agentic systems, new algorithms, optimization methods, and scalable data processing techniques that solve real-world problems at scale.

We explore new model architectures, pre-training and post-training methods, inference optimization, evaluation techniques, and data pipelines. Together, we are advancing AI at Cisco and for the broader AI community!

Your Impact

As an AI Researcher, you will work on the research, development, and deployment of advanced AI systems. Your focus will span large language models, agentic AI, multimodal learning, and enterprise-scale AI applications. We are looking for researchers who will help translate frontier research into practical systems by designing experiments, developing new methods, and turning research insights into impactful, scalable AI solutions.

We are particularly interested in researchers with deep expertise in algorithm design for pre-training and post-training, scalable data curation, and reliable AI infrastructure. You will drive improvements to training algorithms, curate and optimize data at scale, and design infrastructure needed to train purpose-built models that can compete with frontier models on specific tasks aligned with Cisco's business priorities and Foundation AI's research agenda.

We place a strong emphasis on publishing research and contributing meaningfully to the AI community. In this role, you will write scientific articles for top-tier machine learning and AI conferences, publish technical blog posts, and contribute to the open-source AI community!

In this role, you will:

• Develop scalable data curation and processing methods that improve model training and task-specific performance.
• Build production-ready AI systems using strong software engineering practices.
• Optimize large language models and agentic systems for enterprise and security-focused use cases.

MINIMUM QUALIFICATIONS

• Bachelors + 5 years of related experience, or Masters + 3 years of related experience, or PhD + 0 years of related experience in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong experience with Python, PyTorch, production-grade software engineering practices, and common AI/ML libraries.
• Experience with large language models, model training, fine-tuning, evaluation, inference, and optimization.
• Strong understanding of data pipelines, model experimentation, and scalable AI system design.
• Strong communication skills, with the ability to explain complex research and engineering concepts to cross-functional partners.

PREFERRED QUALIFICATIONS

• Experience designing scalable data curation methods and building reliable infrastructure for large-scale model training, evaluation, inference, and deployment.
• Experience deploying high-performance inference engines such as vLLM, NVIDIA Triton, or TorchServe, and working with cloud-native deployment, Docker, Kubernetes, MLOps pipelines, and major cloud platforms such as AWS, GCP, or Azure.
• Demonstrated history of publishing research in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, or ACL, or contributing to significant open-source AI projects.
• Experience designing and scaling agentic AI workflows, multi-agent frameworks, and autonomous AI systems.
• Familiarity with cybersecurity principles, AI systems for security-focused use cases, safety, and robust machine learning.

Why Cisco?

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:

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 - $274,600.00

Non-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.