Machine Learning Engineer Intern

Key Skills

Technical Recruitment, Data Mining, Data science techniques, Leadership Skill, Machine learning techniques, Mathematical modeling

Job Description

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:

Splunk is looking for highly motivated students to join our team. As a Machine Learning Engineer Intern, you will work on a real project (or a few) and have an opportunity to enjoy our dynamic, startup-like 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.

Responsibilities:

You will be responsible for …

• Achieving data science and software engineering goals set by you and your mentor
• Learning about Splunk, both the product and the company
• Working and socializing with the other interns as well as full-time employees

Basic Qualifications

• Actively pursuing a Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mathematics or a related technical field, and a strong record of academic achievement.
• Applicants should have a minimum of one quarter/semester remaining in their studies after their internship concludes.
• Able to work 40 hours a week for 15 weeks from September-December 2023

Preferred Qualifications:

• Strong interest in state-of-art Machine Learning techniques
• Ability to work well with others in a fast-paced environment
• Exposure to working within an agile environment
• Strong communication skills, verbal and written
• Passion for solving exciting problems
• Hands-on experience in Machine Learning techniques, such as logistic regression, naïve Bayes, SVM, decision trees and random forests etc.
• Solid understanding of statistical modeling/machine learning/data mining
• Experience programming in a large software project – at school, professionally, or in an open source context

What We Offer You:

• The opportunity to work with a set of extraordinarily talented and dedicated peers, all the way from engineering and QA to product management and customer support. Splunk flourishes with disruption and diversity.
• A constant stream of new things for you to learn and an opportunity for growth and mentorship. We believe in growing engineers through ownership and leadership opportunities. We also believe mentors help both sides of the equation.
• A stable, collaborative and supportive work environment.

We value diversity, equity, and inclusion at Splunk and are an equal employment opportunity employer. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.

For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.

Note: 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 below, as well as the knowledge, skills, year in school and experience of the candidate. In addition to base pay, this role may be eligible for benefits.