Senior Machine Learning Engineer

Role overview Build and operate cloud infrastructure and platform services that help teams train, deploy, and monitor machine learning models in production. You’ll work with data scientists, machine learning engineers, and infrastructure teams to make shared systems scalable, secure, reliable, and easier to use.

Responsibilities - Design and maintain cloud infrastructure for machine learning workloads, covering compute, storage, networking, and access management through infrastructure as code. - Create CI/CD pipelines, automation, and self-service tools for infrastructure provisioning and application delivery. - Own production system design and operation, improving reliability, monitoring, and cost efficiency. - Support high-volume batch and streaming data workloads, including real-time ingestion. - Strengthen security and governance with access controls, infrastructure policies, and resource management. - Develop reusable platform capabilities with partner teams, contribute to technical design and code reviews, and mentor engineers.

Requirements - Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience. - 3+ years in software engineering focused on cloud infrastructure, platform or site reliability engineering, or data platforms. - Strong Python skills for production applications and automation. - Hands-on infrastructure-as-code experience with Terraform or Pulumi, including reusable modules and cloud resource management. - Experience with distributed systems in the cloud; familiarity with networking, identity and access management, and security practices. - Experience with CI/CD, workflow orchestration, and containers, plus familiarity with distributed data processing and batch or streaming workloads. - Ownership of production systems and ability to lead technical work and collaborate across teams.

Nice to have - Experience with AWS, Kubernetes, Databricks, Spark, or Kafka. - Prior machine learning experience is helpful but not required.

Benefits and work setup - US base salary range: $134,400–$168,000, with bonus, equity, and benefits potentially available. Pay varies by location and job-related factors. - A gaming license may be required, depending on the role and applicable jurisdiction.