Machine Learning Engineer, Splunk
$117.1-201.3k
Salary dependent on location
Data security & observability platform
Job no longer available
Data security & observability platform
1001+ employees
Job no longer available
$117.1-201.3k
Salary dependent on location
1001+ employees
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
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
- Excellent problem-solving skills and the ability to troubleshoot complex issues
- Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences
What the job involves
- 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
Insights
Some candidates hear
back within 2 weeks
3% employee growth in 12 months
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 values
- Innovative: Splunk values people committed to improving the future
- Fun: Splunk believes in fostering a positive atmosphere and celebrating its successes
- Disruptive: Splunk is always looking for ways to be more efficient and better
- Open: Splunk values honesty and inclusivity, with an open-door policy
- Passionate: Passion for its customers and products is what drives Splunk to keep improving
Company HQ
South Beach, San Francisco, CA
Articles
Founders
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.
Diversity & Inclusion at Splunk
- Our diversity, equity and inclusion strategy is built on three key pillars: growing a diverse workforce, nurturing our culture of inclusion in the workplace, and driving positive change in the marketplace for Splunkers, customers and partners
- We are committed to recruit, retain and develop high-performing, innovative and engaged Splunkers with diverse backgrounds and experiences. We created the DEI at Splunk Council (DISCO) to set and track progress on diversity, equity and inclusion across all functions and geographies
- We have also implemented processes, tools and education to try to prevent unconscious bias across our hiring and talent recruitment processes. It has also given us a company-wide vernacular to label bias where we see it
- We know that Splunkers are made up of a million different data points. And we’re committed to cultivating a culture of inclusion and making Splunk a place where everyone can thrive
- Our Employee Resource Groups (ERGs) provide community for underrepresented groups and allies, offering support, mentoring and networking opportunities. We now have nine employee-led ERGs, including Pride, Womxn +, Veterans, Somos (Latinx), Black Employees and Mentors (BEAMs), Disabled=*True, Pilipinx, Natives, and Neurodiversity
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