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

Lensa; Boulder (CO); Remote; USD 110,000 - 140,000; Full time

Job summary

A leading company is seeking a Senior Machine Learning Engineer to develop AI/ML capabilities in a fully remote role. You will work on cutting-edge projects in cybersecurity and observability, collaborating with cross-functional teams and mentoring junior engineers. This position offers flexible working arrangements and a comprehensive benefits package.

Benefits

Health Plans

401(k)

Paid Time Off

Qualifications

• 3+ years of experience in AI/ML roles.
• Experience with model deployment and production environments.

Responsibilities

• Develop AI/ML platform for cybersecurity and observability.
• Collaborate with teams to integrate generative AI solutions.
• Participate in strategic discussions on AI directions.

Skills

Collaboration

Troubleshooting

Communication

Education

Bachelor's or Master's in Computer Science

Tools

Docker

Kubernetes

Git

AWS

GCP

Azure

MLflow

Kubeflow

Job description

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

Join us as a Senior Machine Learning Engineer in our AI group. You will develop core AI/ML capabilities, collaborate with cross-functional teams, mentor junior members, and influence our engineering roadmap.

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 on AI directions and product roadmaps.

Requirements

• Bachelor's or Master's in Computer Science, Engineering, or related with 3+ years of experience.
• Experience with Docker, Kubernetes, model deployment, and production environments.
• Knowledge of Git, CI/CD, cloud platforms (AWS, GCP, Azure), and MLOps platforms like MLflow or Kubeflow.
• Experience working with cross-functional teams, troubleshooting, and communicating technical concepts effectively.

Additional Information

Splunk, a Cisco company, is an Equal Opportunity Employer. Compensation varies by location, with a range of benefits including health plans, 401(k), paid time off, and more. Role is fully remote with flexible working arrangements.