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

Lensa; Boulder (CO); Remote; USD 95,000 - 135,000; Full time

Job summary

A forward-thinking company is seeking a Senior Machine Learning Engineer to join their innovative AI team. In this fully remote role, you will develop cutting-edge AI and ML capabilities, working alongside talented engineers and product managers. Your expertise will help shape the future of cybersecurity and observability solutions, while mentoring junior team members and participating in strategic discussions. This position offers a dynamic environment where your contributions will directly impact the company's technological advancements and product offerings. If you're passionate about AI and eager to make a difference, this opportunity is perfect for you.

Benefits

Health Coverage

401(k)

Paid Time Off

Flexible Work Hours

Qualifications

• 3+ years of experience in AI/ML with a strong foundation in Computer Science.
• Proficient in deploying models and utilizing MLOps tools.

Responsibilities

• Develop AI/ML platform for cybersecurity and observability.
• Collaborate with teams to integrate AI solutions into products.

Skills

Machine Learning

Problem Solving

Communication

Education

Bachelor's in Computer Science

Master's in Computer Science

Tools

Docker

Kubernetes

Git

CI/CD

AWS

GCP

Azure

MLflow

Kubeflow

Job description

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

Join Splunk as a Senior Machine Learning Engineer in the Artificial Intelligence group. You will develop core AI/ML capabilities, collaborate with cross-functional teams, mentor junior members, and help shape the engineering roadmap.

Responsibilities:

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

Requirements:

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

Splunk is an Equal Opportunity Employer. Compensation varies by location and experience, with additional benefits including health coverage, 401(k), paid time off, and more. Learn more at https://splunkbenefits.com.