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Machine Learning Engineer, AI - Job Opportunity at Splunk

Remote, US
Full-time
Mid-level to Senior
Posted: March 28, 2025
Remote
USD 117,120 - 201,300 per year

Benefits

Competitive 401(k) matching program indicating strong retirement focus
Comprehensive medical, dental, and vision coverage suggesting premium-tier healthcare package
Flexible paid time off policy aligned with tech industry standards
Location-based compensation structure showing commitment to fair market value
Total rewards package indicating additional perks and compensation elements

Key Responsibilities

Lead development of core AI/ML platform powering enterprise-wide cybersecurity and observability solutions
Drive strategic integration of generative AI technologies across product portfolio
Guide technical direction and architecture decisions for ML infrastructure
Mentor junior team members while collaborating with cross-functional stakeholders
Contribute to product roadmap and technical strategy development

Requirements

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Experience

3+ years

Required Skills

Docker and Kubernetes expertise MLOps platforms (MLflow or Kubeflow) Cloud platforms (AWS, GCP, Azure) CI/CD principles and tools Git version control Problem-solving capabilities Cross-functional collaboration Technical communication
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Sauge AI Market Intelligence

Industry Trends

The convergence of cybersecurity and AI is creating unprecedented demand for ML engineers who understand both domains, particularly as organizations face increasingly sophisticated threats requiring automated detection and response systems. The shift toward cloud-native ML operations and infrastructure represents a key industry pivot, with organizations investing heavily in scalable, production-grade ML systems. Generative AI integration has become a critical differentiator in enterprise software, driving demand for engineers who can safely and effectively implement these technologies.

Salary Evaluation

The offered salary range is competitive for remote ML engineering roles, especially considering variable location-based adjustments. Top-tier candidates in high-cost markets could command up to USD 225,000 with additional equity compensation.

Role Significance

Likely part of a core AI team of 8-12 engineers, interfacing with multiple product teams across the organization.
Mid to senior-level position with significant technical leadership responsibilities and strategic input into product direction.

Key Projects

Development and scaling of enterprise-wide ML infrastructure platforms Integration of large language models and generative AI capabilities into existing products Design and implementation of MLOps practices and tools for production environments Architecture of cross-product AI capabilities and shared services

Success Factors

Deep understanding of both theoretical ML concepts and practical implementation challenges in production environments Ability to balance technical excellence with business requirements and product timelines Strong collaboration skills with ability to influence cross-functional stakeholders Experience with large-scale distributed systems and cloud architecture

Market Demand

Very High - The combination of AI/ML expertise with cybersecurity and observability domain knowledge is increasingly rare and valuable in the current market.

Important Skills

Critical Skills

Production ML system design and implementation Cloud-native architecture and containerization MLOps and deployment automation Cross-functional collaboration and technical leadership

Beneficial Skills

Experience with specific security or observability domains Familiarity with large language models and generative AI Understanding of distributed systems and scalability Experience with real-time ML systems

Unique Aspects

Opportunity to work on AI applications in cybersecurity, a rapidly evolving and critical domain
Access to large-scale enterprise data and use cases
Significant investment in emerging AI technologies and infrastructure
Strong focus on remote-first culture with location-based compensation

Career Growth

Typical progression to senior or lead roles within 2-3 years, with potential for technical director positions in 4-5 years.

Potential Next Roles

Lead Machine Learning Engineer AI Architecture Lead Technical Director of AI/ML Principal Machine Learning Engineer

Company Overview

Splunk

Splunk, now a Cisco company, is a leader in operational intelligence and data analytics, serving major enterprises worldwide.

Strong market position in data analytics and observability, with significant investment in AI capabilities.
Major presence in key tech hubs with growing remote workforce distribution across the US.
Engineering-driven culture with emphasis on innovation and technical excellence, balanced with strong work-life considerations.
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