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AI Infrastructure Engineer

Infrastructure EngineerInfrastructure EngineerFull TimeRemoteTeam 51-200H1B SponsorCompany Site LinkedIn

Location

United States

Posted

134 days ago

Salary

Not specified

Bachelor Degree3 yrs expEnglishAirflowAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesPythonPy TorchTensorflowTerraform

Job Description

• Build & Scale AI Infrastructure: Design, implement, and maintain high-performance ML training and inference platforms. • Develop MLOps Tools: Ship tools that allow any ML engineer to deploy a model in minutes, not days. • Optimize Performance: Improve scalability, reliability, and cost efficiency of model training and serving systems. • Collaborate Across Teams: Partner with researchers to turn experimental voice models into production-ready systems. • Ensure Best Practices: Establish standards for model versioning, testing, monitoring, and governance. • Drive Automation: Automate data/model pipelines to reduce manual intervention and speed up experimentation.

Job Requirements

3+ years in Software Engineering or ML Platform/Infrastructure roles, with a focus on distributed systems, cloud services, or MLOps.
Proficiency in Python (or similar), containerization (Docker, Kubernetes), CI/CD pipelines, Kubernetes, Cloud proficiency
Strong knowledge of cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform, CloudFormation).
Experience with ML frameworks (TensorFlow, PyTorch, or similar) and orchestration tools (Kubeflow, Airflow, MLflow).
Deep understanding of data pipelines, model deployment, real-time inference systems, and reliability of AI systems
Strong communication skills and the ability to work across engineering and data science teams.
Hands-on with CI/CD and Model Serving

Benefits

A dynamic environment where your contributions shape the company and its products
A team that values innovation, intuition, and drive
Autonomy, fostering focus and creativity
The opportunity to have a significant impact in a revolutionary industry
Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain