AI Engineer & Researcher, Inference

Speechify; Ann Arbor (MI); Remote; USD 140,000 - 200,000; Full time

Job summary

A tech company specializing in AI and audio seeks an experienced engineer to collaborate on deploying machine learning services. The ideal candidate will have extensive experience in Python services and cloud environments, primarily GCP. This role offers a dynamic atmosphere with significant contributions to product development and competitive compensation options within a fully remote work culture.

Benefits

Competitive compensation

Welcoming atmosphere

Autonomy in work

Qualifications

• Experience shipping Python-based services.
• Experience operating a critical production service.
• Experience with public cloud environments, GCP preferred.
• Experience with Docker and containerized deployments.
• Experience deploying high-availability applications on Kubernetes preferred.
• Experience deploying ML models to production preferred.

Responsibilities

• Work with machine learning researchers and engineers on AI Voices.
• Deploy and operate ML inference workloads.
• Improve performance and efficiency of models.
• Build tools to identify and solve issues.

Skills

Python-based services

Cloud environments

Infrastructure as code

Docker

Kubernetes

ML model deployment

Job description

Overview

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, and websites 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. Speechify has been recognized by Google as Chrome Extension of the Year and by Apple as App of the Day.

Today, nearly 200 people around the globe work in a 100% distributed setting—Speechify has no office. Team members include frontend and backend engineers, AI research scientists, and others from top companies and academic programs.

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

We are a flat organization that enables leadership through excellent technical skills and consistent, fast results. Work ethic, strong communication, and a focus on winning are paramount.

Our interview process involves several technical interviews, with the aim of completing them within 1 week.

What You’ll Do

• Work alongside machine learning researchers, engineers, and product managers to bring 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 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 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 and ADD
• An active role at the intersection of AI and audio in 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

How to Apply

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 include links to your portfolio and LinkedIn.

Not looking but know someone who would be a great fit? Refer them!

Equal Employment Opportunity

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.