Senior Software Engineer, AI Model serving - Sydney, Australia
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 whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.
Our interview process involves several technical interviews and we aim to complete them within 1 week.
Overview
As Speechify expands, our AI team seeks a Senior Backend Engineer. This role is central to ensuring our infrastructure scales efficiently, optimizing key product flows, and constructing resilient end-to-end systems. If you are passionate about strategizing, enjoy high-paced environments, and are eager to take ownership of product decisions, we’d love to hear from you.
What You’ll Do
- State of the art voice cloning
- Low latency and cost effective text to speech
An Ideal Candidate Should Have
- Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers.
- Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact.
- Experience with Docker and containerized deployments.
- Proficiency in deploying high availability applications on Kubernetes.
- Preferred: Experience deploying NLP or TTS models to production.
What We Offer
- A energetic 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.
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.
Not looking but know someone who would make a excellent fit? Refer them!
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.
Voluntary Self-Identification (EEO): For government reporting purposes, candidates may respond to a voluntary self-identification survey. Completion is voluntary and will not affect hiring decisions. See the policy for details.
Voluntary Self-Identification of Disability (Form CC-305): This form is voluntary and confidential. See the OFCCP guidance for more information.
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