FedRAMP Machine Learning Engineer - Early in Career (US Citizens Only)

Early TalentHybrid Remote, California

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Description

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Come help organizations be their best, while you reach new heights with a team that has your back.
This role requires US citizenship. Non-US citizens will not be considered.

Role Summary

Splunk is looking for Bachelor’s or Master's students to join our team! As a Machine Learning Engineer, you will work on a real project (or a few) and have an opportunity to enjoy our dynamic environment.
You will experience Splunking and what defines our culture while honing the skills which separate our development teams from others. Working to support internal and external customer needs, you will collaborate with multi-functional teams, receive mentorship, and gain insight into our values-driven process. Our goal is both to support your growth and development while empowering you for a successful start to your career.

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

We’ve taken special care to separate the must-have qualifications from the nice-to-haves. “Nice-to-have” means just that: Nice. To. Have. So, don’t worry if you can’t check off every box. We’re not hiring a list of bullet points–we’re interested in the whole you.
  • 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
Splunk is an Equal Opportunity Employer
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: $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!

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