Machine Learning Engineer Full-time

Description

About Splunk:

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!
Role:

As a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.
Responsibilities:

The responsibilities of this role include:

• Participate in the development of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains under the guidance of senior team members.
• Assist in collecting, cleaning, and preprocessing data to prepare it for analysis and modeling.
• 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 accurately incorporated into our technology roadmap.
• Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with at least 2+ years of industry experience.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Strong knowledge of version control systems, especially Git.
• Strong knowledge of CI/CD principles and tools.
• Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.
• Experience with MLOps platforms such as MLflow or Kubeflow.
• Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.
• Excellent problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication skills with the ability to articulate technical concepts to both technical and non-technical audiences.

Benefits:

Benefits are an important part of Splunk’s 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 comprehensive benefits and wellbeing offering at https://splunkbenefits.com.

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.

Thank you for your interest in Splunk!