Senior Applied Ai Scientist

Splunk, a Cisco company

San Diego, US
Base: $174,500.00 - $292,800.00; bonus/equity: ann...
Hybrid
Large-scale foundation models
Machine-generated data
Distributed training and inference
Lead the research, design, and deployment of large-scale foundation models for machine-generated data – primarily time series, augmented with logs traces, and events

Job Summary

  • 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.
  • Mentor team members and contribute directly to model architecture reviews, experimental design, and production rollout processes.

Matching Summary

Lead the research, design, and deployment of large-scale foundation models for machine-generated data – primarily time series, augmented with logs traces, and events.

Salary

Base: $174,500.00 - $292,800.00; Bonus/Equity: Annual bonuses, restricted stock units; Benefits: Medical, dental, vision, 401(k) with match, paid parental leave, disability, life insurance, paid time off

Skills & Requirements

Must-have

  • large-scale foundation models
  • machine-generated data
  • distributed training and inference
  • Python and deep learning frameworks
  • translating research to production

Nice-to-have

  • impact-driven innovation
  • cross-functional collaboration
  • flexible, growth-oriented environment
  • technical excellence

Key Requirements

  • PhD in Computer Science or related quantitative field
  • 1+ years industry research experience
  • Proven track record in LLMs, time series modeling, anomaly detection, or multi-modality modeling

Work Rights

Not specified

Tailored Resume

Cover Letter