Applied Scientist (FULLY REMOTE-USA)

Splunk Inc.; San Francisco, Seattle, New York, Washington (CA, WA, NY, District of Columbia, MA); 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 that enhance cybersecurity and observability. This role involves collaborating with talented engineers and scientists to integrate cutting-edge generative AI solutions into products. You will stay at the forefront of AI research, ensuring that advancements are effectively utilized in the technology roadmap. Join a dynamic team dedicated to creating valuable machine data experiences and making a significant impact in the industry. If you're driven by innovation and eager to tackle real-world challenges, this opportunity is perfect for you.

Qualifications

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

Responsibilities

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

Skills

AI/ML technology

Deep learning

Natural language processing

Problem-solving

Communication skills

Time series anomaly detection

Generative AI technology

Large Language Models (LLM)

Education

PhD in Computer Science

MS in Computer Science

Tools

TensorFlow

PyTorch

Job description

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!

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.