Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)

Lensa; Washington (District of Columbia); Remote; USD 131,000 - 182,000; Full time

Job summary

A leading company in AI technology is seeking a Machine Learning Engineer to build and maintain scalable AI systems. This fully remote role requires expertise in software development, cloud platforms, and machine learning technologies. Join a passionate team committed to delivering exceptional customer experiences.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Plan

Paid Time Off

Qualifications

• 3+ years of experience in software development.
• Proficiency in containerization technologies.
• Strong problem-solving and analytical abilities.

Responsibilities

• Design, develop, and maintain AI services.
• Implement and optimize CI/CD pipelines.
• Monitor system performance and implement improvements.

Skills

Python

Golang

Cloud Platforms

Containerization

CI/CD

Infrastructure as Code

RESTful APIs

Monitoring Tools

Version Control

Education

Bachelor's degree in Computer Science

Tools

Docker

Kubernetes

Jenkins

GitLab CI

Terraform

CloudFormation

PostgreSQL

Prometheus

Grafana

Job description

Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)

Machine Learning Engineer, AI Platform (FULLY REMOTE, USA ONLY)

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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!

Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone via AI. 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 the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers. This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies. The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence.

Responsibilities

• Design, develop, and maintain AI services in our AI platform that powers all our AI products.
• Implement and optimize CI/CD pipelines for machine learning model deployment
• Architect and manage cloud infrastructure using Infrastructure as Code principles
• Collaborate with ML Engineers and Applied Scientists to build efficient model serving systems
• Monitor system performance and implement improvements for scalability
• Participate in code reviews and technical documentation
• Troubleshoot production issues and implement solutions
  
  

Required Qualifications

• US Citizenship
• Bachelor's degree in Computer Science, Software Engineering, or related field
• 3+ years of experience in software development using languages such as Python and Golang
• Strong experience with cloud platforms (AWS, GCP, or Azure)
• Proficiency in containerization technologies (Docker, Kubernetes)
• Experience with CI/CD tools (Jenkins, GitLab CI, or similar)
• Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)
• Understanding of RESTful APIs
• Knowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databases
• Knowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)
• Experience with version control systems (Git) and collaborative development workflows
  
  

Preferred Qualifications

• Experience with machine learning frameworks (TensorFlow, PyTorch)
• Understanding of ML deployment patterns and model serving
• Familiarity with MLOps practices and tools
• Experience with automated testing and quality assurance
• Knowledge of security best practices in cloud environments
  
  

Soft Skills

• Strong problem-solving and analytical abilities
• Excellent written and verbal communication
• Ability to work independently and in a team environment
• Strong documentation skills
• Proactive approach to identifying and solving problems
• Ability to learn and adapt to new technologies quickly
  
  

Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment 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

SF Bay Area, Seattle Metro, and New York City Metro Area

Base Pay Range: $146,400.00 - 201,300.00 per year

California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts

Base Pay Range: $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.

Base Pay Range: $117,120.00 - 161,040.00 per year

Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.

Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at https://splunkbenefits.com .

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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