AI Engineer & Researcher, Inference

Job Description

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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 whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

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.

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 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

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 such 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

Salary

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.

Full-time