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Senior Applied Scientist, AI
1 month ago
About the Role:
We are seeking a highly skilled Senior Applied Scientist to join our Artificial Intelligence group at Splunk. As a key member of our team, you will be responsible for developing and implementing cutting-edge AI/ML capabilities to power our product portfolio and drive customer success.
Key Responsibilities:
- Lead the development of core AI/ML models and algorithms for our cybersecurity and observability products.
- 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 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:
- PhD in Computer Science or a related field with at least 2 years of experience OR MS in Computer Science or related field with at least 5 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.
About Splunk:
Splunk is an Equal Opportunity Employer. We believe creating a culture of belonging isn't just the right thing to do; it's also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive.
Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws.
We consider qualified applicants with criminal histories, consistent with legal requirements.
Base Pay Range:
$174,350.00 per year (SF Bay Area, Seattle Metro, and New York City Metro Area)
$157,315.00 per year (California, Washington, Massachusetts, and Washington DC Metro Area)
$139,280.00 per year (All other cities and states)
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://www.splunk.com/en_us/careers/benefits.html.