Principal Machine Learning Engineer

Role:

Responsibilities:

• Lead the development of the AI/ML capabilities 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 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 directions and product roadmaps.

Requirements:

• Led the development of large-scale ML/AI systems, integrating full stack development practices to create robust, scalable, and efficient solutions.
• Successfully transitioned AI research projects into production environments, ensuring the seamless deployment and operation of complex AI systems.
• A strong background in Computer Science or Engineering, supported by 8+ years of industry experience, to drive innovation and deliver high-quality technical solutions.
• Utilized containerization and orchestration tools such as Docker and Kubernetes to enhance the scalability and reliability of AI systems.
• Implemented and optimized solutions on leading cloud platforms (AWS, GCP, Azure) and adopted serverless architectures to improve system efficiency and reduce operational overhead.
• Worked closely with cross-functional teams, including applied scientists, to ensure alignment and drive the successful integration of AI technologies into broader business strategies.
• Demonstrated excellent problem-solving skills, effectively troubleshooting complex technical issues to maintain system stability and performance.
• Articulated complex technical concepts to both technical and non-technical audiences, ensuring clear communication and fostering collaboration across diverse teams.

Splunk is an Equal Opportunity Employer: At Splunk, 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.

Note

Base Pay: 4,800,000.00 - 6,600,000.00 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.

Benefits are an important part of Splunks Total Rewards package. This role is eligible for a comprehensive, competitive benefits package which may include healthcare and retirement plans, paid time off, wellbeing expense reimbursement, and much more! Learn more about our next-level benefits at splunk.com/benefits .

Note:

Base Pay Range

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Base Pay: [ Currency ] [ Job Code Hiring Range: Non-Sales Base Pay OR Sales OTE ] 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 Splunks Total Rewards package. This role is eligible for a comprehensive, competitive benefits package which may include healthcare and retirement plans, paid time off, wellbeing expense reimbursement, and much more! Learn more about our next-level benefits at https://splunkbenefits.com .

Thank you for your interest in Splunk!