Speechify aims to solve the problem of reading being a barrier to learning by providing text-to-speech products that convert various forms of text into audio, enabling users to read faster, more, and retain more information. The role is crucial for bringing AI Voices to customers and improving the performance and efficiency of deployed ML models.
Requirements
- Experience shipping Python-based services
- Experience being responsible for the successful operation of a critical production service
- Experience with public cloud environments, GCP preferred
- Experience with Infrastructure such as Code, Docker, and containerized deployments.
- Preferred: Experience deploying high-availability applications on Kubernetes.
- Preferred: Experience deploying ML models to production
Responsibilities
- Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases
- Deploy and operate the core ML inference workloads for our AI Voices serving pipeline
- Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models
- Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues
Other
- Ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.
- Work ethic, solid communication skills, and obsession with winning are paramount.
- The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience
- Tell us more about yourself and why you're interested in the role when you apply.
- And don’t forget to include links to your portfolio and LinkedIn.
