Machine Learning Engineer (USA FULLY REMOTE)

SPLUNK SERVICES UK LIMITED; California (MO); Remote; USD 131,000 - 182,000; Full time

Job summary

An innovative company is seeking a Machine Learning Engineer to develop core AI/ML capabilities that enhance product offerings. This fully remote role involves collaboration with diverse teams to integrate cutting-edge AI solutions, ensuring the technology roadmap reflects the latest advancements. Ideal candidates will have a strong background in machine learning and experience with tools like Docker and Kubernetes. Join a dynamic team committed to creating impactful solutions and enjoy a flexible work environment with competitive benefits.

Benefits

Medical benefits

Dental benefits

Vision benefits

401(k) with match

Paid time off

Flexible working arrangements

Qualifications

• 3+ years of industry experience in AI/ML.
• Experience with containerization and orchestration tools.

Responsibilities

• Develop AI/ML platform for cybersecurity and observability.
• Collaborate with cross-functional teams on AI integration.

Skills

Machine Learning

Artificial Intelligence

Docker

Kubernetes

Git

CI/CD

AWS

GCP

Azure

MLOps

Education

Bachelor's or Master's degree in Computer Science

Tools

MLflow

Kubeflow

Job description

Join to apply for the Machine Learning Engineer (USA FULLY REMOTE) role at SPLUNK SERVICES UK LIMITED

Machine Learning Engineer (MLE), Artificial Intelligence

Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. We are a company filled with people who are passionate about our product and seek to deliver the best experience for our customers. At Splunk, we’re committed to our work, customers, having fun and most importantly to each other’s success. Learn more about Splunk careers and how you can become a part of our journey!

Role

As a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency. You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area.

Responsibilities

• Development of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains.
• Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services.
• Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap.
• Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps.

Requirements

Knowledge, Skills, and Abilities:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Experience with model deployment and serving into production environments.
• Knowledge of version control systems, especially Git.
• Knowledge of CI/CD principles and tools.
• Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture.
• Experience with MLOps platforms such as MLflow or Kubeflow.
• Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams.
• Excellent problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.

Splunk is an Equal Opportunity Employer: At Splunk, we believe creating a culture of belonging isn’t just the right thing to do; it’s also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.

Note

Base Pay Range

• SF Bay Area, Seattle Metro, and New York City Metro Area: $146,400.00 - 201,300.00 per year
• California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts: $131,760.00 - 181,170.00 per year
• All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area: $117,120.00 - 161,040.00 per year

Splunk offers flexible working arrangements, including remote and in-office roles. The pay structure varies by location and experience. In addition to base pay, this role is eligible for incentive compensation and may include equity or long-term cash awards. Benefits include medical, dental, vision, 401(k) with match, paid time off, and more. Learn more at https://splunkbenefits.com.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: IT Services and IT Consulting