Software Engineer, Speechify
Data Infrastructure & Acquisition
$140-200k
+ Equity + Bonus
AI text-to-speech reader
Be an early applicant
AI text-to-speech reader
101-200 employees
Be an early applicant
$140-200k
+ Equity + Bonus
101-200 employees
Company mission
To make sure that reading is never a barrier to learning.
Role
Who you are
- BS/MS/PhD in Computer Science or a related field
- 5+ years of industry experience in software development
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities
- Strong communication skills, both written and verbal
What the job involves
- We're looking to hire for our Data side of our AI team at Speechify.
- This role is responsible for all aspects of data collection to support our model training operations.
- We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products
Application process
- 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
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
(Founder & 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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