Senior Applied Scientist, AI (FULLY REMOTE-USA)

Splunk; North Carolina; Remote; USD 139,000 - 193,000; Full time

Job summary

Join a forward-thinking company as a Senior Applied Scientist in AI, where you will develop cutting-edge AI/ML capabilities that enhance product offerings. In this fully remote role, you will collaborate with diverse teams to create innovative solutions, mentor junior scientists, and stay abreast of the latest advancements in AI technology. This position offers a unique opportunity to influence the future of digital resiliency through your expertise in AI and machine learning. If you are passionate about technology and eager to make a significant impact, this role 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 relevant experience in AI/ML.
• Experience with LLMs and time series anomaly detection.

Responsibilities

• Lead development of AI/ML models for cybersecurity and observability.
• Mentor team members and drive scientific roadmap.

Skills

AI/ML technology

Deep learning

Natural language processing

Problem-solving skills

Communication skills

Education

PhD in Computer Science

MS in Computer Science

Tools

TensorFlow

PyTorch

Job description

Senior Applied Scientist, AI (FULLY REMOTE-USA)

Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!

Role:

As a Senior 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, 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.
• 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:

Knowledge, Skills, and Abilities:

• PhD in Computer Science or a related field with at least 1 year of experience OR MS in Computer Science or related field with at least 3-4 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.

Base Pay Range:

SF Bay Area, Seattle Metro, and New York City Metro Area: $174,800.00 - 240,350.00 per year.

California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts: $157,320.00 - 216,315.00 per year.

All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area: $139,840.00 - 192,280.00 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.