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Speechify

AI Engineer & Researcher, Inference - Denver, USA

Speechify, Denver, Colorado, United States, 80285

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AI Engineer & Researcher, Inference - Denver, USA Speechify

is looking for an AI Engineer & Researcher to work on inference in our distributed team. The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use our text‑to‑speech products to turn PDFs, books, Google Docs, news articles, and websites into audio. Our products include iOS, Android, Mac, Chrome Extension and Web App. Google recently named Speechify Chrome Extension of the Year and Apple named our app App of the Day.

We are a fully distributed organization with roughly 200 people worldwide, including frontend and backend engineers, AI research scientists, and others from companies such as Amazon, Microsoft, Google, Stripe, Vercel, Bolt, and many founders of their own startups. This role is ideal for someone who thinks strategically, thrives in fast‑paced environments, loves 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 quickly. Work ethic, solid communication skills, and an obsession with winning are paramount.

Our interview process involves several technical interviews and we aim to complete them within one 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 modelsli>

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 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, especially for those with learning differences such as 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.

Referrals increase your chances of interviewing at Speechify by 2x.

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.

Seniority level: Entry level. Employment type: Full‑time. Job function: Engineering and Information Technology. Industry: Software Development.

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