The mission of Speechify is to make sure that reading is never a barrier to learning. Speechify’s text-to-speech products help people turn PDFs, books, Google Docs, news articles, and websites into audio to read faster, read more, and remember more. Our products include the iOS app, Android app, Mac app, Chrome extension, and Web app. Speechify has been recognized by Google and Apple for its Chrome Extension of the Year and App of the Day, respectively.
Today, Speechify operates as a 100% distributed company with nearly 200 people worldwide. Our team includes frontend and backend engineers, AI research scientists, and others from leading tech companies and academia, working together without a physical office. This is a key role and ideal for someone who thinks strategically, thrives in fast-paced environments, and is passionate about making product decisions and delivering delightful user experiences.
We are a flat organization that values leadership shown through excellent technical skills and consistent, fast results. Work ethic, clear communication, and a focus on winning are paramount.
Our interview process involves several technical interviews and aims to be completed within 1 week.
What You’ll Do
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to our 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 architectures to improve performance, latency, throughput, and efficiency of deployed models
Build tools to gain visibility into bottlenecks and instability and design/implement solutions for high-priority issues
An Ideal Candidate Should Have
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 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, ADD, and more
An active role at the intersection of artificial intelligence and audio – 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
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 don’t forget to include links to your portfolio and LinkedIn.
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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.
Equal Opportunity and Voluntary Self-Identification
Speechify seeks to maintain a diverse workforce and complies with applicable equal employment opportunity laws. The information requested in voluntary self-identification surveys is confidential and will not be used in making hiring decisions. Completion is voluntary.