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

Cisco; Washington (District of Columbia); Remote; USD 100,000 - 160,000; Full time

Job summary

An established industry player is seeking a talented AI/ML expert to lead the development of cutting-edge models that enhance cybersecurity and observability. In this role, you will collaborate with a dynamic team of software engineers and applied scientists to integrate generative AI solutions into innovative products. Your expertise in deep learning, natural language processing, and large-scale model deployment will be pivotal in shaping the technology roadmap. This is a unique opportunity to stay at the forefront of AI research while making a tangible impact on real-world challenges. Join a forward-thinking company that values diversity and fosters an inclusive environment for all employees.

Qualifications

• PhD or MS in Computer Science with 2-3 years of industry experience required.
• Experience with LLMs and time series anomaly detection is essential.

Responsibilities

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

Skills

AI/ML model development

Generative AI solutions

Deep learning

Natural language processing

Time series modeling

Problem-solving

Communication skills

Education

PhD in Computer Science

MS in Computer Science

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.