Job summary
Job post source
This job is directly from Splunk
Job overview
The Applied Scientist role at Splunk focuses on leading AI/ML model development to enhance cybersecurity and observability products using generative AI technologies.
Responsibilities and impact
The candidate will develop core AI/ML models, collaborate with engineers and product managers to integrate AI solutions, stay updated on AI research, and participate in strategic AI discussions.
Compensation and benefits
The salary ranges from $117,120 to $201,300 annually depending on location, with eligibility for incentive compensation, equity awards, and a comprehensive benefits package including medical, dental, vision, and 401(k).
Experience and skills
Requirements include a PhD or MS with 2-3 years industry experience, expertise in LLM training, time series anomaly detection, deep learning, and generative AI, plus strong problem-solving and communication skills; cybersecurity or observability experience is preferred.
Work environment and culture
Splunk promotes flexibility with remote or in-office work options and values diversity and equal opportunity employment.
Company information
Splunk is a Cisco company specializing in cybersecurity and observability solutions, emphasizing innovation in AI/ML technologies.
Job location and travel
This is a fully remote position available in the USA with salary varying by geographic location.
Unique job features
The role involves working with cutting-edge AI/ML and generative AI technologies, focusing on large-scale model development and deployment in cybersecurity and observability domains.
Company overview
Splunk is a leading software company specializing in big data analytics and operational intelligence. They provide a platform that collects, indexes, and analyzes real-time data generated by various sources, including applications, websites, and devices, enabling organizations to gain valuable insights and improve decision-making. Founded in 2003, Splunk has grown significantly, becoming a key player in the data analytics industry by offering solutions that help businesses monitor and troubleshoot IT infrastructure, enhance security, and optimize performance. Their revenue primarily comes from software licensing, cloud services, and maintenance and support fees.
How to land this job
Position your resume to highlight your expertise in AI/ML model development, especially your experience with generative AI, LLMs, and time series anomaly detection, as these are central to Splunk's Applied Scientist role.
Emphasize your collaboration skills with cross-functional teams, showcasing your ability to integrate AI solutions into products and translate research into practical applications, aligning with the job's core responsibilities.
Apply through multiple platforms including Splunk's corporate careers page and LinkedIn to maximize your chances and visibility for this fully remote USA position.
Connect with current Applied Scientists and AI/ML team members at Splunk on LinkedIn, using ice breakers like referencing recent Splunk AI initiatives, asking about their experience integrating generative AI, or inquiring about the cybersecurity and observability challenges they tackle.
Optimize your resume for ATS by incorporating keywords from the job description such as 'generative AI,' 'LLM,' 'time series anomaly detection,' 'TensorFlow,' 'PyTorch,' and 'cybersecurity,' ensuring your resume passes initial automated screenings.
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