Senior Machine Learning Engineer, AI (FULLY REMOTE-USA)

Splunk; Oregon (IL); Remote; USD 139,000 - 241,000; Full time

Job summary

An innovative company is seeking a Senior Machine Learning Engineer to lead the development of AI/ML capabilities for cybersecurity and observability. This fully remote position offers the chance to collaborate with diverse teams, mentor junior engineers, and influence the AI roadmap. If you are passionate about cutting-edge technology and eager to drive significant advancements in AI, this role presents an exciting opportunity to make a real impact in a forward-thinking environment.

Qualifications

• 3+ years of experience in AI/ML with a strong focus on cybersecurity.
• Proficient in containerization and model deployment in production.

Responsibilities

• Develop AI/ML platforms for cybersecurity and observability.
• Integrate generative AI solutions with cross-functional teams.

Skills

Machine Learning

AI Development

Problem Solving

Communication Skills

Education

Bachelor's in Computer Science

Master's in Engineering

Tools

Docker

Kubernetes

Git

AWS

GCP

Azure

MLflow

Kubeflow

Job description

Senior Machine Learning Engineer, AI (FULLY REMOTE-USA)

Join us at Splunk as a Senior Machine Learning Engineer, AI (FULLY REMOTE-USA) and contribute to developing core AI/ML capabilities that power our product portfolio. Collaborate with cross-functional teams, mentor junior members, and help shape our AI roadmap.

Responsibilities

• Develop AI/ML platform and infrastructure for cybersecurity and observability domains.
• Work closely with engineers, scientists, and product managers to integrate generative AI solutions.
• Stay current with AI/ML advancements and incorporate them into our technology.
• Participate in strategic discussions on AI directions and product roadmaps.

Requirements

• Bachelor's or Master's in Computer Science, Engineering, or related field with 3+ years of experience.
• Experience with containerization (Docker, Kubernetes), model deployment, and production environments.
• Knowledge of version control (Git), CI/CD, cloud platforms (AWS, GCP, Azure), and MLOps tools (MLflow, Kubeflow).
• Strong problem-solving and communication skills, with experience working in cross-functional teams.

Splunk is an Equal Opportunity Employer. Compensation varies by location, with a base pay range of $139,840 - $240,350 annually, plus benefits, incentives, and potential equity.