Machine Learning Engineer, AI (FULLY REMOTE)
Description 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: The responsibilities of this role include:
- 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. Annual Base Pay: $158,200 - $201,000 USD When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings. Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentiv