Machine Learning Engineer, Splunk

AI Platform

$117.1-201.3k

Salary dependent on location. + Eligible for incentive compensation and may be eligible for equity or long-term cash awards

AWS

Docker

Kubernetes

GCP

Python

Postgres

Tensorflow

Terraform

Splunk

Jenkins

Azure

Prometheus

Grafana

PyTorch

Git

REST API

Golang

Mid and Senior level

Remote from US

US Citizenship required

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 dependent on location. + Eligible for incentive compensation and may be eligible for equity or long-term cash awards

AWS

Docker

Kubernetes

GCP

Python

Postgres

Tensorflow

Terraform

Splunk

Jenkins

Azure

Prometheus

Grafana

PyTorch

Git

REST API

Golang

Mid and Senior level

Remote from US

US Citizenship required

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 degree in Computer Science, Software Engineering, or related field
3+ years of experience in software development using languages such as Python and Golang
Strong experience with cloud platforms (AWS, GCP, or Azure)
Proficiency in containerization technologies (Docker, Kubernetes)
Experience with CI/CD tools (Jenkins, GitLab CI, or similar)
Knowledge of Infrastructure as Code (Terraform, CloudFormation, or similar)
Understanding of RESTful APIs
Knowledge of data storage technologies including cloud object stores (e.g. S3), databases (e.g. postgreSQL), vector databases
Knowledge of monitoring and observability tools (Prometheus, Grafana, Splunk)
Experience with version control systems (Git) and collaborative development workflows
Strong problem-solving and analytical abilities
Excellent written and verbal communication
Ability to work independently and in a team environment
Strong documentation skills
Proactive approach to identifying and solving problems
Ability to learn and adapt to new technologies quickly

Desirable

Experience with machine learning frameworks (TensorFlow, PyTorch)
Understanding of ML deployment patterns and model serving
Familiarity with MLOps practices and tools
Experience with automated testing and quality assurance
Knowledge of security best practices in cloud environments

What the job involves

As the Machine Learning Engineer, AI Platform in the Splunk AI Dev Tools team, you will be building services and tools that underlie our AI products and also accelerate our AI developers
This role combines traditional software engineering with modern cloud infrastructure and machine learning technologies
The ideal candidate will help build and maintain scalable AI systems while ensuring robust deployment and operational excellence
Design, develop, and maintain AI services in our AI platform that powers all our AI products
Implement and optimize CI/CD pipelines for machine learning model deployment
Architect and manage cloud infrastructure using Infrastructure as Code principles
Collaborate with ML Engineers and Applied Scientists to build efficient model serving systems
Monitor system performance and implement improvements for scalability
Participate in code reviews and technical documentation
Troubleshoot production issues and implement solutions

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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