AI Infrastructure Engineer

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October 31

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Speechify

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SaaS • Marketing • Technology

Speechify is a company that offers a comprehensive digital connections platform. They provide tools such as URL shorteners, QR code generators, analytics, and mobile-optimized landing pages. The platform is designed to help businesses enhance their digital engagement with customers through seamless link management and trackable brand connections. Speechify caters to various industries including retail, consumer packaged goods, hospitality, media and entertainment, technology, healthcare, insurance, financial services, and education.

- employees

☁️ SaaS

📋 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.

🎯 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