AI Engineer & Researcher, Inference - San Francisco

Overview

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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, websites, and more 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.

Google named Speechify Chrome Extension of the Year and Apple named Speechify App of the Day.

Today, nearly 200 people around the globe work in a 100% distributed setting. Our team includes frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, with backgrounds from top programs and companies.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, cares about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.

Our interview process involves several technical interviews and we aim to complete them within 1 week.

What You’ll Do

• Work alongside machine learning researchers, engineers, and product managers to bring our 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 the performance, latency, throughput, and efficiency of our deployed models

• Build tools to give visibility into bottlenecks and instability, and design and implement solutions to address the highest 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 for people with learning differences like dyslexia, ADD, and more

• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

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 Linked In.

Not looking but know someone who would make a great fit?

Refer them!

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.

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