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

Splunk; Illinois; Remote; USD 100,000 - 150,000; Full time

Job summary

An innovative company is looking for a Senior Machine Learning Engineer to lead the development of cutting-edge AI/ML capabilities. In this fully remote role, you will collaborate with talented professionals across various disciplines to enhance the product portfolio and drive advancements in cybersecurity and observability. You'll have the opportunity to mentor junior team members and shape the future of AI technology within the organization. If you're passionate about AI and eager to make a significant impact in a flexible work environment, this position is perfect for you.

Benefits

Flexible work arrangements

Competitive benefits

Market-based pay structure

Qualifications

• 3+ years of experience in AI/ML development and deployment.
• Expertise in containerization and cloud platforms.

Responsibilities

• Develop AI/ML platforms for cybersecurity and observability.
• Collaborate with teams to integrate generative AI solutions.

Skills

Machine Learning

AI Development

Problem Solving

Communication Skills

Education

Bachelor's degree in Computer Science

Master's degree 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). We are seeking a talented professional to develop core AI/ML capabilities, collaborate with cross-functional teams, mentor junior members, and contribute to our product portfolio's evolution.

Responsibilities

1. Develop AI/ML platform and infrastructure for cybersecurity and observability domains.
2. Collaborate with software engineers, scientists, and product managers to integrate generative AI solutions.
3. Stay updated with AI/ML advancements and incorporate them into our technology roadmap.
4. Participate in strategic discussions regarding AI directions and product development.

Requirements

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

Splunk, a Cisco company, is an Equal Opportunity Employer. We offer competitive benefits, flexible work arrangements, and a market-based pay structure that varies by location.