Fedramp Machine Learning Engineer

Description

Role Summary

What you’ll get to do

• Integrate AI/ML solutions into Splunk products and services
• Achieve data science and software engineering goals set by you and your mentor
• Learn about Splunk, both the product and the company
• Collaborate closely with software engineers, data scientists, and product managers

Must-have Qualifications

• Actively pursuing a Bachelor’s or Master’s in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mathematics or a related technical field, and a strong record of academic achievement

Nice-to-have Qualifications

• Coursework or research experience in artificial intelligence and machine learning topics such as time series analysis (univariate and multivariate), anomaly detection, generative AI technology and Large Language Models (LLM)
• Experience programming in a large software project – at school, professionally, or in an open source context
• Coursework and project or internship experience in big data systems or distributed systems
• Exposure to ML frameworks (e.g., TensorFlow, PyTorch, Ray, vLLM) and Python
• Ability to work well with others in a fast-paced environment
• Strong communication skills, verbal and written
• Enthusiasm for solving interesting problems

Note:

Base Pay Range

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

Base Pay Range: $119,200.00 - 163,900.00 per year

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

Base Pay Range: $107,280.00 - 147,510.00 per year

All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area.

Base Pay Range: $95,360.00 - 131,120.00 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.

Thank you for your interest in Splunk!