Machine Learning Engineer, AI (FULLY REMOTE)

About

Machine Learning Engineer, AI (FULLY REMOTE)

Join to apply for the

Machine Learning Engineer, AI (FULLY REMOTE)

role at

Splunk Machine Learning Engineer, AI (FULLY REMOTE)

23 hours ago Be among the first 25 applicants Join to apply for the

Machine Learning Engineer, AI (FULLY REMOTE)

role at

Splunk Direct message the job poster from Splunk Lead Technical AI Recruiter, Artificial Intelligence/Machine Learning at Splunk (30K+ Connections); Actively recruiting AI/ML talent mid career to…

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 incentive target for each 1% of attainment between 50% and 75%;

1% of incentive target 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, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

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.

Seniority level

Seniority level Not Applicable Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries Software Development, IT Services and IT Consulting, and Technology, Information and Internet Referrals increase your chances of interviewing at Splunk by 2x Get notified about new Machine Learning Engineer jobs in

Washington, DC . Washington, DC $120,000.00-$145,000.00 2 weeks ago Machine Learning Engineer, AI (FULLY REMOTE)

McLean, VA $158,200.00-$201,000.00 23 hours ago Machine Learning Engineer, AI (FULLY REMOTE)

Maryland, United States $158,200.00-$201,000.00 23 hours ago United States $145,000.00-$204,000.00 2 days ago Senior Public Sector Research Scientist, Machine Learning

Sr. Machine Learning Engineer/Date Scientist

Washington, DC $155,000.00-$200,000.00 4 days ago Arlington, VA $90,000.00-$100,000.00 1 month ago Washington, DC $80,000.00-$120,000.00 3 weeks ago Sr Machine Learning Engineer - Fintech Foundation (100% Remote - USA)

Washington, DC $75,000.00-$90,000.00 4 months ago College Park, MD $90.00-$105.00 2 months ago Washington, DC $120,000.00-$170,000.00 1 month ago Maryland, United States $160,001.00-$200,000.00 1 day ago Lead Consultant, Machine Learning Engineer

District of Columbia, United States $160,001.00-$200,000.00 1 day ago Washington, DC $140,000.00-$170,000.00 23 hours ago Washington, DC $130,000.00-$150,000.00 1 day ago SCA Data Scientist/Analyst (AI/Automations)

Washington, DC $130,000.00-$150,000.00 1 day ago Washington, DC $140,000.00-$180,000.00 1 week ago Washington DC-Baltimore Area $120,000.00-$130,000.00 3 weeks ago Junior Software Engineer - Remote (Entry Level)

Silver Spring, MD $109,600.00-$127,406.00 3 weeks ago Washington DC-Baltimore Area $180,000.00-$220,000.00 3 days ago Washington, DC $120,000.00-$190,000.00 4 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Nice-to-have skills

• Docker
• Kubernetes
• Git
• AWS
• GCP
• Azure
• District of Columbia, United States

Work experience

• Machine Learning

Languages

• English