Machine Learning Engineer, AI (FULLY REMOTE)

Description Machine Learning Engineer (MLE), Artificial Intelligence Join us as we pursue our disruptive new vision to reputed company 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 reputed company to AI directions and product roadmaps.

Requirements

Knowledge, Skills, and Abilities

• Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company field with at least 3+ years of industry experience.
• Experience with containerization and orchestration tools (e.g., reputed company, 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 reputed company issues.
• Excellent communication skills with the ability to reputed company reputed company technical concepts to both technical and non-technical audiences. Annual reputed company Pay $158,200 - $201,000 USD reputed company 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 reputed company salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include reputed company and incentive compensation reputed company. 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 reputed company 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 reputed company of 4.92 hours per pay period. Exempt new hires participate in reputed company's flexible Vacation Time Off policy, which does not reputed company a defined limit on how much vacation time eligible employees may use but is subject to availability and some business limitations. reputed company new hires are eligible for Sick Time Off subject to reputed company'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 reputed company 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. reputed company 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 reputed company salary, which is split between quota and non-quota components. For quota-based incentive pay, reputed company typically pays as follows .75% of incentive reputed company for each 1% of reputed company attainment up to 50% of quota; 1.5% of incentive reputed company for each 1% of attainment between 50% and 75%; 1% of incentive reputed company for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, reputed company may pay up to 125% of reputed company. reputed company sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. Splunk, a reputed company company, is an Equal Opportunity Employer and reputed company qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national reputed company, genetic information, age, disability, veteran status, or any other legally protected basis. Thank you for your interest in Splunk! Apply tot his job Apply To this Job Apply To This Job Apply tot his job Apply To this Job

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