Role:
As the Principal Applied Scientist in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the scientific roadmap of the area.
Responsibilities:
- Lead the development of core AI/ML models and algorithms that drive our product’s key use cases in the cybersecurity and observability domains.
- Collaborate closely with software engineers, data scientists, and product managers to integrate generative AI solutions into our products and services.
- Stay up to date with the latest research and developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.
- Provide technical guidance and mentorship to team members to ensure the development of their skills.
- Actively participate in cross-functional discussions and strategic decisions related to AI research directions and product roadmaps.
Requirements:
- PhD in Computer Science or a related field with at least 4 years of experience OR MS in Computer Science or related field with at least 7 years of industry experience
- Deep understanding of ML frameworks (e.g., TensorFlow, PyTorch) and programming languages commonly used in AI research.
- In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.
- In-depth knowledge and proven track record in Generative AI technology and Large Language Models (LLM).
- Experience developing large-scale, complex models and deploying them in production systems.
- Strong problem-solving skills and the ability to translate research insights into practical solutions that address real-world challenges.
- Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.
- Experience in mentoring and guiding junior researchers or team members.
- Experience in the Cybersecurity and/or Observability industry is preferred.
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