Speechify aims to solve the problem of reading being a barrier to learning by providing text-to-speech products that allow users to consume written content in audio format, thereby increasing reading speed, comprehension, and retention.
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.
- Experience deploying high-availability applications on Kubernetes.
- 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
- The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience
- Work ethic, solid communication skills, and obsession with winning are paramount.
- Include links to your portfolio and LinkedIn.
- Speechify is committed to a diverse and inclusive workplace.
- Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
