Machine Learning Engineer (USA FULLY REMOTE)

Splunk; California (MO); Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative company is seeking a Machine Learning Engineer to develop cutting-edge AI/ML capabilities that enhance product offerings and support digital resiliency. In this fully remote role, you will work closely with cross-functional teams, mentor junior engineers, and contribute to the engineering roadmap. Your expertise in deploying AI solutions and collaborating with diverse teams will be pivotal in shaping the future of technology. This role offers a competitive salary, flexible working arrangements, and the opportunity to make a significant impact in a dynamic environment.

Benefits

Flexible working arrangements

Competitive benefits

Equity options

Qualifications

• 3+ years of experience in AI/ML with a strong engineering background.
• Experience deploying models into production and collaborating with cross-functional teams.

Responsibilities

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

Skills

Machine Learning

AI/ML Development

Problem-solving

Communication Skills

Education

Bachelor's in Computer Science

Master's in Computer Science

Tools

Docker

Kubernetes

Git

AWS

GCP

Azure

MLflow

Kubeflow

Job description

Join us to apply for the Machine Learning Engineer (USA FULLY REMOTE) role at Splunk.

About the Role

As a Machine Learning Engineer in the Artificial Intelligence group, you will develop core AI/ML capabilities to enhance Splunk's product portfolio, enabling our customers' digital resiliency. You will collaborate with cross-functional teams, mentor junior members, and contribute to the 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 regarding AI directions and product development.

Requirements

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

Additional Information

Splunk is an Equal Opportunity Employer committed to diversity and inclusion. We offer competitive benefits, flexible working arrangements, and a market-based salary structure. The role is full-time, remote, and may include incentives and equity options.