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The machine learning team is undergoing a metamorphosis as we embark on promoting Embedded ML capabilities as a key differentiator in the Splunk platform. Our new initiatives span from new developer focussed platform capabilities such as Splunk Machine Learning Environment (smle), to Streaming ML based novel solutions and algorithms crafted for Splunk use cases, to ML-powered experiences that improve premium Splunk Apps.

In the machine learning group at Splunk we work on some of the most challenging machine learning problems involving logs and metrics and applying machine learning methods to domains like Security, IT and Observability. Solution architects for the machine learning group help position these new initiatives with customers; prototype use cases and solutions using these technologies; collect feedback to help refine engineering requirements and craft GTM motions; identify and cultivate new opportunities where ML can improve customer experiences; and help evangelize upcoming ML product initiatives. This role is distinct in cutting across engineering, product management, research and customer facing responsibilities.

In this particular opportunity, we are looking for a Solutions Architect to evangelize and lead the adoption of Smle (Splunk Machine Learning Environment). The candidate is encouraged to engage with the user community to train them and evangelize Smle, meet with customers to suggest solutions that they can build with the technology, and see customers through implementing and fixing data science workflows on Smle. They are also responsible for producing and detailing sample workflows for various common machine learning tasks of interest to Splunk customers.

Our data science platform Smle is purpose built for simplifying the development and deployment of machine learning models for both internal and external data scientist use cases around these domains. Our customers challenge us with interesting machine learning use cases and requirements. As the complexity grows for both us and our customers, we are looking to our Solutions Architects to fully understand the architecture that powers Smle and how various use cases can be implemented on them. Our Solutions Architects not only work with open source technologies such as Apache Flink, Apache Pulsar, Jupyter but they also recommend product features and contribute to the open source community.


  • Consult on architecture and design, bootstrap, and/or implement strategic customer projects
  • Build references architectures, how-tos, and demo applications for customers
  • Architect, implement, and/or validate integrations with 3rd party applications
  • Develop early adoption demos and reference designs that align with core Splunk use cases
  • Evangelize Smle and Splunk across data science community through meetups and conferences


  • Outstanding verbal and written communication skills
  • Excellent presentation and whiteboarding skills
  • 3-5 years in customer-facing pre-sales, technical product marketing or technical architecture consulting role
  • Ability to craft and architect solutions utilizing distributed data systems
  • Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API
  • Comfortable crafting code in either Python, Scala or Java
  • Experience with Big Data Technologies such as Spark / Flink, Kafka / Pulsar
  • BS in Computer Science or a related field such as Information Systems or Mathematics
  • Passion for learning new technologies and making customers successful

Nice to have:

  • Experience with Jupyter, building custom visualizations on top of the Jupyter Kernel
  • Experience with PyTorch/ Tensorflow
  • Experience working with AWS/cloud
  • Practical experience with ML concepts like Model Training, Model Serving, Model drift and other aspects of production-izing ML pipelines in distributed data processing environments.
  • Experience with collaborating with engineers, researchers and PMs for new product introduction

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.m

Splunk's Hiring Practices
Splunk turns machine data into answers. Organizations use market-leading Splunk solutions with machine learning to solve their toughest IT, Internet of Things and security challenges.

Individuals seeking employment at Splunk are considered without regards 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 (except where physical fitness is a valid occupational qualification), genetic information, veteran status, or any other consideration made unlawful by federal, state or local laws. Click here to review the US Department of Labor’s EEO is The Law notice. Please click here to review Splunk’s Affirmative Action Policy Statement.

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Splunk does not discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Please click here to review Splunk’s Pay Transparency Nondiscrimination Provision. 
For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.

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