The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn PDFs, books, Google Docs, news articles, and websites into audio, so they can read faster, read more, and remember more. Speechify’s products include its iOS app, Android app, Mac app, Chrome extension, and Web app. Speechify has been recognized by Google as Chrome Extension of the Year and by Apple as App of the Day.
Today, nearly 200 people around the globe work in a 100% distributed setting—Speechify has no office. Team members include frontend and backend engineers, AI research scientists, and others from top companies and academic programs.
This is a key role and ideal for someone who thinks strategically, thrives in fast-paced environments, is passionate about product decisions, and has experience building great user experiences that delight users.
We are a flat organization that enables leadership through excellent technical skills and consistent, fast results. Work ethic, strong communication, and a focus on winning are paramount.
Our interview process involves several technical interviews, with the aim of completing them within 1 week.
What You’ll Do
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to 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 performance, latency, throughput, and efficiency of deployed models
Build tools to gain visibility into bottlenecks and instability, and design and implement solutions to address high-priority issues
An Ideal Candidate Should Have
Experience shipping Python-based services
Experience responsible for the successful operation of a critical production service
Experience with public cloud environments, GCP preferred
Experience with infrastructure as code, Docker, and containerized deployments
Preferred: Experience deploying high-availability applications on Kubernetes
Preferred: Experience deploying ML models to production
What We Offer
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 and ADD
An active role at the intersection of AI and audio in a rapidly evolving tech domain
The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience
How to Apply
Think you’re a good fit for this job? Tell us more about yourself and why you’re interested in the role when you apply, and include links to your portfolio and LinkedIn.
Not looking but know someone who would be a great fit? Refer them!
Equal Employment Opportunity
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.