Machine Learning Engineer, AI (FULLY REMOTE, USA)

Lensa; Washington (District of Columbia); Remote; USD 90,000 - 140,000; Full time

Job summary

An established industry player is seeking a talented Machine Learning Engineer to join their innovative team. In this fully remote role, you will develop cutting-edge AI/ML capabilities that drive the product portfolio and enhance digital resiliency for clients. Collaborating with a diverse group of professionals, you'll integrate generative AI solutions and influence the engineering roadmap. This is a fantastic opportunity to work at the forefront of technology in a supportive environment that values growth and collaboration. If you're passionate about AI and eager to make a significant impact, this role is perfect for you.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

401(k)

Paid Time Off

Qualifications

• 3+ years of experience in AI/ML development.
• Strong knowledge of CI/CD principles and tools.
• Experience working in cross-functional teams.

Responsibilities

• Develop AI/ML platform and infrastructure for key use cases.
• Collaborate with engineers and product managers on AI solutions.
• Stay updated with advancements in AI/ML technology.

Skills

Machine Learning

Problem-solving

Communication

Education

Bachelor's degree in Computer Science

Master's degree in Engineering

Tools

Docker

Kubernetes

Git

AWS

GCP

Azure

MLflow

Kubeflow

Job description

Machine Learning Engineer, AI (FULLY REMOTE, USA)

Be among the first 25 applicants

Lensa is the leading career site for job seekers at every stage of their career. Our client, Cisco, is seeking professionals. Apply via Lensa today!

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 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 cybersecurity and observability.
• Collaborate with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services.
• Stay updated with the latest developments in AI/ML and incorporate these advancements into our technology roadmap.
• Participate in cross-functional discussions and strategic decisions related to AI 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 production environment integration.
• 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.
• Experience working in cross-functional teams with data scientists and DevOps teams.
• Problem-solving skills and troubleshooting abilities.
• Strong communication skills to articulate complex technical concepts to diverse audiences.

Additional Information

Splunk, a Cisco company, is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.

Note

Base Pay Range varies by location, with specific ranges provided for SF Bay Area, Seattle Metro, New York City Metro, California (excluding SF Bay Area), Washington (excluding Seattle), Washington DC Metro, Massachusetts, and other regions. This role is eligible for incentive compensation, and possibly equity or long-term cash awards. Benefits include medical, dental, vision, 401(k), paid time off, and more. Learn more at https://splunkbenefits.com.

Details

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

Referrals increase your chances of interviewing at Lensa by 2x.