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

Cisco; North Carolina; Remote; USD 117,000 - 162,000; Full time

Job summary

Cisco is seeking an AI/ML Lead to spearhead the development of innovative models that enhance cybersecurity and observability products. The ideal candidate will have a strong academic background in computer science coupled with real-world experience in AI/ML technologies. This role requires collaboration with cross-functional teams to drive the integration of state-of-the-art AI solutions, ensuring that Cisco remains at the forefront of technology advancements in its field.

Benefits

Medical, dental and vision coverage

401(k) plan with match

Paid time off

Flexible working arrangements

Qualifications

• Experience training and fine tuning LLMs.
• Knowledge in time series anomaly detection.
• Background in Generative AI technology and Large Language Models.

Responsibilities

• Lead development of core AI/ML models for cybersecurity.
• Collaborate with engineers to integrate generative AI solutions.
• Participate in strategic AI research discussions.

Skills

Deep Learning

Natural Language Processing

Problem Solving

Communication

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:

+ 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, applied 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.

+ Actively participate in cross-functional discussions and strategic decisions related to AI research directions and product roadmaps.

Requirements:

Knowledge, Skills, and Abilities:

+ 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

+ Experience training and fine tuning LLMs

+ Experience with time series anomaly detection

+ 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 and taking them from research to production systems.

+ Strong problem-solving skills and the ability to translate research insights into practical solutions that address real-world challenges.

+ Deep understanding of ML frameworks (e.g., TensorFlow, PyTorch) and programming languages commonly used in AI research.

+ Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.

+ 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.

Note:

**Base Pay Range**

SF Bay Area, Seattle Metro, and New York City Metro Area

Base Pay Range: $146,400.00 - 201,300.00 per year

California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts

Base Pay Range: $131,760.00 - 181,170.00 per year

All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.

Base Pay Range: $117,120.00 - 161,040.00 per year

Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. **In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.**

Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https://splunkbenefits.com .