Applied Scientist (FULLY REMOTE in USA)

Splunk; Washington (District of Columbia); Remote; USD 131,000 - 182,000; Full time

Job summary

An established industry player is seeking a talented Applied Scientist to spearhead the development of cutting-edge AI/ML models that enhance cybersecurity and observability solutions. This fully remote role offers the chance to collaborate with a diverse team of experts, integrating innovative generative AI technologies into impactful products. As part of a forward-thinking organization, you will stay at the forefront of AI research, ensuring that the latest advancements shape the technology roadmap. If you are passionate about translating complex research into practical applications and thrive in a collaborative environment, this opportunity is perfect for you.

Benefits

Medical insurance

Dental insurance

Vision insurance

401(k) plan and match

Paid time off

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 AI/ML models for cybersecurity and observability.
• Collaborate with teams to integrate generative AI solutions.

Skills

AI/ML technology

Deep learning

Natural language processing

Time series modeling

Unsupervised learning

Problem-solving

Communication skills

Education

PhD in Computer Science

MS in Computer Science

Tools

TensorFlow

PyTorch

Job description

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

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: $146,400.00 - 201,300.00 per year

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