AI Engineer & Researcher, Inference

Speechify; Atlanta (GA); Remote; USD 140,000 - 200,000; Full time

Job summary

A leading technology firm is seeking a skilled individual to join their team in deploying AI Voices services. Candidates must have substantial experience in Python and production services, with a focus on leveraging cloud technologies. This position offers a competitive salary range of $140,000-$200,000 plus bonus and equity, in a fully distributed and inclusive workplace.

Benefits

Dynamic work environment

Autonomy in work

Opportunity for significant impact

Competitive compensation

Welcoming atmosphere

Work on innovative products

Qualifications

• Experience shipping Python-based services.
• Experience being responsible for the successful operation of a critical production service.
• Experience with public cloud environments, preferably GCP.
• Experience with Infrastructure as Code, Docker, and containerized deployments.
• Preferred: Experience deploying high-availability applications on Kubernetes.
• Preferred: Experience deploying ML models to production.

Responsibilities

• Work alongside machine learning researchers, engineers, and product managers.
• Deploy and operate the core ML inference workloads for AI Voices.
• Introduce new techniques and tools to improve performance and efficiency.
• Build tools to identify bottlenecks and address high-priority issues.

Skills

Python-based services

Critical production service operation

Public cloud environments (GCP preferred)

Infrastructure as Code

Docker

Kubernetes

Deploying ML models

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 so people can 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 for its impact by industry and media.

Today, nearly 200 people around the globe work at Speechify in a 100% distributed setting. We value strategic thinking, fast-paced execution, and a passion for making product decisions that delight users.

We are a flat organization that emphasizes leadership through strong technical skills, consistent results, and clear communication. Our interview process involves several technical interviews completed within about one 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 to improve performance, latency, throughput, and efficiency of deployed models
• Build tools to gain visibility into bottlenecks and instability, then design and implement solutions to address high‑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 can help people with learning differences
• Active role at the intersection of artificial intelligence and audio
• 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. Include links to your portfolio and LinkedIn.

Commitment to Diversity

Speechify is committed to a diverse and inclusive workplace and 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.