Cisco · 2 weeks ago
Senior Staff Applied AI Scientist
Cisco, through its subsidiary Splunk, is building a safer, more resilient digital world with a focus on AI for machine-generated data. The role involves leading the research, design, and deployment of foundation models, optimizing training pipelines, and collaborating with various teams to align AI solutions with business objectives.
Communications InfrastructureEnterprise SoftwareHardwareSoftware
Responsibilities
Own the full lifecycle of research, design, and deployment for large‑scale foundation models targeting machine‑generated data — with a primary focus on logs, complemented by time series, traces, and event modalities
Drive optimization of distributed training and inference pipelines to balance accuracy, performance, and cost at scale
Partner closely with engineering, product, and data science teams to align AI solutions with both technical requirements and strategic business objectives
Elevate organizational expertise by mentoring talent, driving strategic technical forums, and guiding research from inception to product deployment
Shape the AI/ML vision by anticipating industry‑defining advancements and strategically embedding them into the team’s technology roadmap
Qualification
Required
PhD in Computer Science, or related quantitative field, plus 5+ years of industry research experience
Proven track record in at least one of the following areas: large language modeling for both structure and unstructured data, deep learning‑based time series modeling, advanced anomaly detection, and multi-modality modeling
Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience translating research ideas into production systems
Preferred
Deep NLP & Domain‑Adapted LLMs: Background in building and adapting large‑scale language models (e.g., T5, BERT, LLaMA) for specialized domains including structured/unstructured logs, text, and event sequences
Log Analytics Expertise – In‑depth knowledge of structured/unstructured system logs, event sequence analysis, anomaly detection, and root cause identification
Advanced Anomaly Detection – Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time logs data
Multi‑Modal AI Modeling – Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights
Large‑Scale Training & Optimization – Experience optimizing model architectures, distributed training pipelines, and inference efficiency to minimize cost and latency while preserving accuracy
MLOps & Continuous Learning – Fluency in automated retraining, drift detection, incremental updates, and production monitoring of ML models
Strong Research Track Record – Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL, KDD) demonstrating contributions to state‑of‑the‑art methods and real‑world applications
Benefits
Medical, dental and vision insurance
A 401(k) plan with a Cisco matching contribution
Paid parental leave
Short and long-term disability coverage
Basic life insurance
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
4 paid days off for personal wellness determined by Cisco
16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees
Flexible vacation time off program
80 hours of sick time off provided on hire date and each January 1st thereafter
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
Company
Cisco
Cisco develops, manufactures, and sells networking hardware, telecommunications equipment, and other technology services and products. It is a sub-organization of Cisco Press.
H1B Sponsorship
Cisco has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1238)
2024 (1231)
2023 (1273)
2022 (2127)
2021 (1991)
2020 (1173)
Funding
Current Stage
Public CompanyTotal Funding
unknown1990-02-13IPO
Leadership Team
Recent News
Company data provided by crunchbase