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AI Engineer & Researcher, Inference

Speechify

Pittsburgh (Allegheny County)

Remote

USD 140,000 - 200,000

Full time

Today
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Job summary

A technology company in Pittsburgh seeks an experienced professional to enhance their AI products. In this role, you will collaborate with engineers and researchers to implement cutting-edge AI voice technologies. Ideal candidates will have strong Python experience and cloud service expertise. This full-time position offers competitive compensation within a dynamic and inclusive work culture.

Benefits

Competitive compensation
Autonomy and focus
Inclusive work culture

Qualifications

  • Experience shipping Python-based services.
  • Experience with public cloud environments, preferably GCP.
  • Experience with Infrastructure as Code.

Responsibilities

  • Work with researchers to bring AI Voices to customers.
  • Operate the core ML inference workloads.
  • Design solutions for performance and stability.

Skills

Python-based services
GCP
Docker
Kubernetes
ML models deployment
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, websites, and more into audio to help users 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 and Apple for its extensions and apps. We are a 100% distributed company with colleagues worldwide, including frontend and backend engineers, AI research scientists, and teammates from leading tech companies and universities.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that emphasizes leadership through excellent technical skills and consistent, fast delivery. Work ethic, solid communication skills, and a strong drive to win 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 AI Voices to customers for diverse 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, and 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, with 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
  • An active role at the intersection of artificial intelligence and audio – 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

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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.

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