Speechify
AI Engineer & Researcher, Inference - Chicago, USA
Speechify, Chicago, Illinois, United States, 60290
AI Engineer & Researcher, Inference - Chicago, USA
Speechify is a global text‑to‑speech platform used by over 50 million people. We turn PDFs, books, Google Docs, news articles, and websites into audio so that people can read faster, read more, and remember more. Speechify’s products include an iOS app, Android app, Mac app, Chrome extension, and Web app. We are a 100% distributed team with engineers, researchers, and product people from top engineering schools and companies.
The mission of Speechify is to make sure that reading is never a barrier to learning. This role is a key responsibility for helping customers hear AI voices for a diverse range of use cases. We are a flat organization that values strategy, fast pace, product impact, solid communication, and a winning mindset.
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 our AI Voices to customers.
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 deployed models.
Build tools to give visibility into bottlenecks and instability, then design and implement solutions for the highest priority issues.
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 changes lives, particularly for those with learning differences like 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.
Application Tell us more about yourself and why you’re interested in the role when you apply. Include links to your portfolio and LinkedIn.
EEO Statement 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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The mission of Speechify is to make sure that reading is never a barrier to learning. This role is a key responsibility for helping customers hear AI voices for a diverse range of use cases. We are a flat organization that values strategy, fast pace, product impact, solid communication, and a winning mindset.
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 our AI Voices to customers.
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 deployed models.
Build tools to give visibility into bottlenecks and instability, then design and implement solutions for the highest priority issues.
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 changes lives, particularly for those with learning differences like 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.
Application Tell us more about yourself and why you’re interested in the role when you apply. Include links to your portfolio and LinkedIn.
EEO Statement 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.
#J-18808-Ljbffr