AI Engineer & Researcher, Speechify
Inference
$140-200k
+ bonus + equity
AI text-to-speech reader
Be an early applicant
AI text-to-speech reader
101-200 employees
Be an early applicant
$140-200k
+ bonus + equity
101-200 employees
Company mission
To make sure that reading is never a barrier to learning.
Role
Who you are
- This is a key role and 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
- 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
What the job involves
- 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
Application process
- Our interview process involves several technical interviews and we aim to complete them within 1 week
Our take
Speechify’s AI-powered app and browser extension make it easy for users to listen to emails, text documents, e-books, PDFs, online blogs, and articles in a variety of voices, languages, and speeds.
Text-to-speech technology has been fraught with performance issues for a long time, though in recent years this has begun to change for the better. Products like Amazon Polly, Linguatech Voice Reader, and Natural Reader have made real inroads on this front. What may set Speechify apart, however, is the insight of founder Cliff Weitzman, who built the app to help people with dyslexia, ADHD, vision impairments and other learning difficulties.
The company’s future growth may depend largely on who it targets and how it does so. Thus far it’s been mostly branded as a learning assistant, lauded by parents, teachers and adult users with reading disabilities. This niche approach is interesting and offers a potentially large market in the education sector. However, the technology also has mainstream appeal, with the potential to be branded as a productivity booster or multi-tasking assistant.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Leadership
Cliff Weitzman
(CEO)Having studied at Brown University, Cliff founded YumPass, CellArmor, and BoardBrake before working as a Software Engineer at WeMap and StarterPack. In 2018, they founded Speechify, serving as the CEO since.
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