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Machine Learning Engineer – Observability – US Remote available – 20584


This is a Full-time position in Boulder, CO posted September 9, 2021.

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 applications and systems become more complex and user experience is critical, observability
– the ability to monitor and understand the systems and how they impact users, becomes one of the biggest challenges for engineering teams.

We are building world-class tools to help engineers deliver better, faster, and more reliable applications.

Splunk’s Observability team is looking for an experienced machine learning engineer who can design, build, test, and support our batch and streaming machine learning and data solutions for the Splunk Observability products.

The person in this role will be responsible for designing, developing and deploying machine learning algorithms at scale.

Responsibilities Splunk engineers are passionate about continuously improving both what we deliver, and how we deliver our product to customers.

As a machine learning engineer, you will: * Design, develop, and productionize data science and engineering capabilities in Splunk’s Observability infrastructure.* Implement, test, and benchmark key software improvements and performance optimizations* Work with team members on implementing algorithms at scale* Present technical ideas and solutions to the team including software engineers, architects, and business leaders.* Be a hard-working teammate who enjoys collaborating with, learning from, mentoring, and guiding other team members to create a positive work environment.

Requirements * 5+ years of experience (or 4+ years of experience with a Master Degree) deploying production systems in languages like Python, Java, or Scala.* Knowledge of computer science fundamentals such as algorithms and data structures.* Software development experience with cloud computing or distributed systems.* Experience with unit testing, and performance benchmarking and tuning.* Knowledge of machine learning frameworks such as scikit-learn, SparkML, or Tensorflow.* Bachelor’s Degree in computer science, mathematics, statistics or a similar quantitative field We value diversity at our company.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

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

(Colorado only*) Minimum base salary of $95,000.

You may also be eligible for incentive pay + equity + benefits.*Note: Disclosure per sb19-085 (8-5-201 et seq).