AI Engineer & Researcher, Inference

Speechify; Portland (TX); Remote; USD 140,000 - 200,000; Full time

Job summary

A tech-driven educational platform is seeking a Machine Learning Engineer to work with a cross-functional team on AI Voices. You will deploy ML inference workloads and improve deployed models' performance. Ideal candidates have experience with Python, public cloud environments, and containerized deployments. The company offers competitive compensation and a unique asynchronous work culture.

Benefits

Dynamic work environment

Competitive compensation

Exceptional asynchronous work culture

Qualifications

• Experience shipping Python-based services.
• Experience operating a critical production service.
• Experience with public cloud environments, preferably GCP.
• Experience with infrastructure as code, Docker, and containerized deployments.

Responsibilities

• Work with machine learning researchers and engineers to bring AI Voices to diverse use cases.
• Deploy and operate the core ML inference workloads.
• Introduce new techniques to improve performance, latency, and efficiency.

Skills

Python-based services

Operating critical production service

Public cloud environments (GCP preferred)

Infrastructure as code

Docker and containerized deployments

High-availability applications on Kubernetes

Deploying ML models to production

Job description

Overview

The mission of Speechify is to make sure that reading is never a barrier to learning.

Speechify’s text-to-speech products turn PDFs, books, Google Docs, news articles, and websites into audio to help people 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 as the Chrome Extension of the Year and by Apple as App of the Day.

We operate with a fully distributed team of nearly 200 people around the globe, across frontend and backend engineering, AI research, and more. We welcome candidates who think strategically, enjoy fast-paced environments, and are passionate about making product decisions that delight users.

Speechify is a flat organization where leadership can emerge from strong technical contribution and consistent delivery. Work ethic, clear communication, and a focus on winning are highly valued.

Our interview process is structured and typically progresses through several technical interviews, with an aim to complete within one week.

What You’ll Do

• Work with machine learning researchers, engineers, and product managers to bring AI Voices to a diverse set of use cases.
• Deploy and operate the core ML inference workloads for the 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 and implement solutions to address high-priority issues.

An Ideal Candidate Should Have

• Experience shipping Python-based services.
• Experience operating 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 that fosters focus and creativity.
• The opportunity to have a significant impact in a rapidly evolving industry.
• Competitive compensation, a welcoming atmosphere, and an exceptional asynchronous work culture.
• The privilege of working on a product that helps people with learning differences such as dyslexia and ADHD.
• Work at the intersection of artificial intelligence and audio.
• United States base salary range for this full-time role is $140,000-$200,000 + bonus + equity, depending on experience.

How to Apply

Tell us more about yourself and why you’re interested in the role when you apply, and include links to your portfolio and LinkedIn.

Speechify is committed to a diverse and inclusive workplace.

If you believe you belong to any protected category under applicable law, Speechify provides EEO policies and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other protected status.