Applied Scientist (FULLY REMOTE in Seattle, NYC or Bay Area)

Cisco; California (MO); Remote; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a passionate AI/ML expert to lead the development of innovative models in cybersecurity and observability. This role offers the opportunity to collaborate with a diverse team of software engineers and product managers, ensuring that cutting-edge generative AI solutions are integrated into products. As you stay abreast of the latest advancements in AI/ML, your insights will shape the technology roadmap. If you have a strong background in AI technologies and a desire to make a significant impact, this is the perfect opportunity for you to excel in a dynamic environment.

Qualifications

• PhD or MS in Computer Science with 2-3 years of experience required.
• Experience in training and fine-tuning LLMs and anomaly detection.

Responsibilities

• Lead development of core AI/ML models for cybersecurity and observability.
• Collaborate with engineers and product managers on generative AI solutions.

Skills

AI/ML technology

Generative AI

Large Language Models (LLM)

Deep learning

Natural language processing

Problem-solving

Communication skills

Education

PhD in Computer Science or related field

MS in Computer Science or related field with industry experience

Tools

TensorFlow

PyTorch

Job description

The responsibilities of this role include:

1. Lead the development of core AI/ML models and algorithms that drive our product’s key use cases in the cybersecurity and observability domains.
2. Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services.
3. 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.
4. Actively participate in cross-functional discussions and strategic decisions related to AI research directions and product roadmaps.

Requirements:

Knowledge, Skills, and Abilities:

1. PhD in Computer Science or a related field OR MS in Computer Science or related field with at least 2-3 years of industry experience.
2. Experience training and fine-tuning LLMs.
3. Experience with time series anomaly detection.
4. In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.
5. In-depth knowledge and proven track record in Generative AI technology and Large Language Models (LLM).
6. Experience developing large-scale, complex models and deploying and taking them from research to production systems.
7. Strong problem-solving skills and the ability to translate research insights into practical solutions that address real-world challenges.
8. Deep understanding of ML frameworks (e.g., TensorFlow, PyTorch) and programming languages commonly used in AI research.
9. Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.
10. Experience in the Cybersecurity and/or Observability industry is preferred.

Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.