AI Engineer & Researcher, Inference - Dallas, USA

Speechify; Town of Texas (WI); Remote; USD 140,000 - 200,000; Full time

Job summary

A forward-thinking technology company is seeking an AI Engineer & Researcher to enhance AI Voices for diverse applications. The successful candidate will collaborate with ML researchers to improve pipeline efficiency and deploy services. Offers a competitive salary ranging from $140,000 to $200,000, fostering an inclusive work culture that values innovation and autonomy.

Benefits

Competitive compensation

Autonomy in work

Inclusive work culture

Opportunity to impact learning solutions

Qualifications

• Demonstrates strong work ethic and a customer-focused mindset.
• Thinks strategically and thrives in a fast-paced environment.
• Communicates effectively in a flat organization.

Responsibilities

• Work alongside machine learning researchers and engineers.
• Deploy and operate core ML inference workloads.
• Introduce new techniques and tools to improve model performance.

Skills

Experience shipping Python-based services

Experience with the reliable operation of a critical production service

Experience with public cloud environments, GCP preferred

Experience with infrastructure as code

Experience deploying high-availability applications on Kubernetes

Experience deploying ML models to production

Tools

Docker

Kubernetes

Job description

AI Engineer & Researcher, Inference - Dallas, USA

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

Speechify’s products turn text into audio to help people read faster, read more, and remember more. Our products include iOS, Android, Mac, Chrome Extension, and Web Apps. Speechify has been recognized for its Chrome Extension of the Year and App of the Day by Google and Apple, respectively. We operate as a 100% distributed company with no office, and our team includes frontend and backend engineers, AI research scientists, and others from leading tech companies and universities.

This is a key role for someone who thinks strategically, thrives in a fast-paced environment, and is passionate about making product decisions that delight users. We are a flat organization that rewards technical excellence, results, and strong communication. An ideal candidate demonstrates work ethic and a customer-focused 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 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, and design and implement solutions for high-priority issues

An Ideal Candidate Should Have

• Experience shipping Python-based services
• Experience with the reliable 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 that fosters 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 helps people with learning differences like dyslexia and ADHD
• An active role at the intersection of artificial intelligence 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

Think you’re a good fit?

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

Speechify’s Commitment

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.

For interest in future opportunities, you can create a Job Alert or apply through the standard process.

Voluntary Self-Identifications

Speechify collects certain voluntary information for government reporting purposes. Completion is optional and will not affect hiring decisions. Any information provided is kept confidential.