Applied Scientist

April 15

🏄 California – Remote

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🐊 Florida – Remote

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+8 more states

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💵 $117.1k - $201.3k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧬 Research Scientist

🦅 H1B Visa Sponsor

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Logo of Splunk

Splunk

Splunk is a software platform for searching, monitoring, and analyzing machine-generated big data via a web-style interface. Splunk's technology is used for application management, security, compliance, and developing business and web analytics. It transforms machine-generated data into valuable business insights for organizations worldwide, promoting digital resilience through its comprehensive security and observability solutions. Now a Cisco company, Splunk continues to innovate in areas like AI and cloud services to enhance digital resilience and operational visibility for IT and DevOps teams. Organizations across various industries rely on Splunk's solutions to secure and optimize their digital infrastructures.

Machine Data To Operational Intelligence

📋 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. • 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

• 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.

🏖️ Benefits

• Medical • Dental • Vision • 401(k) plan and match • Paid time off • Much more!

Apply Now

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