Machine Learning Engineer, Splunk

$117.1-201.3k

Salary range dependent on candidate location. Plus incentive compensation

AWS

Docker

Kubernetes

GCP

Azure

Kubeflow

Git

Mid and Senior level

Remote from US

Data security & observability platform

Open for applications

Data security & observability platform

1001+ employees

B2BArtificial IntelligenceDeep TechAnalyticsInternet of ThingsMachine LearningSaaSCyber Security

Open for applications

$117.1-201.3k

Salary range dependent on candidate location. Plus incentive compensation

AWS

Docker

Kubernetes

GCP

Azure

Kubeflow

Git

Mid and Senior level

Remote from US

1001+ employees

B2BArtificial IntelligenceDeep TechAnalyticsInternet of ThingsMachine LearningSaaSCyber Security

Company mission

To allow clients to focus on the business outcomes that data can deliver by helping organisations use their data to answer questions, take actions, and achieve business objectives

Job

Company

Role

Who you are

Bachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 3+ years of industry experience
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
Experience with model deployment and serving into production environments
Knowledge of version control systems, especially Git
Knowledge of CI/CD principles and tools
Familiarity with cloud platforms (AWS, GCP, Azure) and serverless architecture
Experience with MLOps platforms such as MLflow or Kubeflow
Previous experience working in cross-functional teams and collaborating with data scientists and DevOps teams
Problem-solving skills and the ability to troubleshoot complex issues
Communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences

What the job involves

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!
As a Machine Learning Engineer in the Artificial Intelligence group, you will be responsible for developing the core AI/ML capabilities to power the entire Splunk product portfolio and help our customers to drive their journey to digital resiliency
You will collaborate with cross-functional teams, mentor junior team members, and help drive the engineering roadmap of the area
Development of the AI/ML platform and infrastructure that drives our product’s key ML use cases in the cybersecurity and observability domains
Collaborate closely with software engineers, applied scientists, and product managers to integrate generative AI solutions into our products and services
Stay up to date with the latest developments in the field of AI/ML, and ensure that these advancements are properly incorporated into our technology roadmap
Actively participate in cross-functional discussions and strategic decisions related to AI directions and product roadmaps

Our take

Splunk was founded to produce software for searching and analysing machine-generated data for clients. The platform provides live data insights and is an attractive option due to its flexibility, scalability and ability to process real time data.

The company has evolved significantly since being founded, implementing developments in augmented reality, machine learning and mobile technology. Further, the company's transition to the cloud has allowed it to provide new offerings, and proved its ability to move with market trends.

Acquired by Cisco in 2024, Splunk now benefits from Cisco's user protection, breach protection and threat intelligence capabilities. The company will continue to deliver its security products, and also has plans to enhance its portfolio moving forwards.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Sep 2007

$25m

SERIES C

Jan 2006

$10m

SERIES B

Total funding: $40m

Company benefits

Paid parental leave
Work from home opportunities
Health Care and Insurance
Paid Time Off
Education reimbursement
Electric car charging stations
Employee Assistance Program (EAP)
Stocked kitchens
Gym discounts/onsite fitness centers
Pet insurance discount
Student loan resources
Cool workspace with collaborative environments
529 College Savings Plan

Company HQ

South Beach, San Francisco, CA

Leadership

Gary Steele

(EVP & GM of Splunk at Cisco, not founder)

Was CEO and President of Splunk before it became a Cisco company. Previously CEO at Proofpoint and Portera, VP at Sybase, and Market Development Manager at Sun Microsystems.

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