Cisco · 2 days ago
Senior Applied AI Scientist
Augusta, ME
Full-time
Hybrid
Mid, Senior Level
$174K/yr - $226K/yr
1+ years expCisco is a company focused on building a safer, more resilient digital world through innovative technology solutions. The Senior Applied AI Scientist will lead the research, design, and deployment of large-scale foundation models for machine-generated data, optimizing distributed training and inference pipelines while collaborating with cross-functional teams to drive business impact.
Communications InfrastructureEnterprise SoftwareHardwareSoftware
Responsibilities
Lead the research, design, and deployment of large-scale foundation models for machine-generated data – primarily time series, augmented with logs traces, and events
Optimize distributed training and inference pipelines to maximize accuracy, performance, and efficiency at scale
Work closely with engineering, product, and data science to ensure solutions meet defined technical requirements and deliver tangible business impact
Mentor team members and contribute directly to model architecture reviews, experimental design, and production rollout processes
Stay current with AI/ML developments and integrate relevant advancements into ongoing projects and technical plans
Qualification
Required
PhD in Computer Science, or related quantitative field, plus 1+ 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 Learning for Time Series & Forecasting – Proven expertise designing and deploying architectures such as temporal transformers, temporal convolutional networks, and spatial‑temporal models
Advanced Anomaly Detection – Experience creating robust, scalable approaches (statistical, deep learning, or hybrid) for high‑volume, real‑time time series data
Multi‑Modal AI Modeling – Strong track record fusing logs, time series, traces, tabular data, and graphs for foundation models tackling complex operational insights
Probabilistic Forecasting & Uncertainty Quantification – Skills in Bayesian deep learning and probabilistic models to capture and communicate predictive uncertainty
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
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
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
Flexible vacation time off program
80 hours of sick time off provided on hire date
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
Annual bonuses subject to Cisco’s policies
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.
10001+ employees
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
Chuck Robbins
Chair and CEO
Carl Solder
Chief Technology Officer - Cisco System Australia/New Zealand
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