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- Tasks: Join our AI team to optimise infrastructure and build resilient systems for innovative text-to-speech products.
- Company: Speechify, a 100% remote company transforming reading accessibility for millions.
- Benefits: Competitive pay, flexible work culture, and the chance to make a real difference.
- Why this job: Be part of a revolutionary industry that empowers individuals with learning differences.
- Qualifications: Experience with GCP, Docker, Kubernetes, and deploying NLP or TTS models preferred.
- Other info: Dynamic environment with a focus on innovation and personal growth.
The predicted salary is between 36000 - 60000 £ per year.
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 products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Speechify is a 100% distributed company with no office; nearly 200 people worldwide work on product, engineering, AI research, and related roles.
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.
What You’ll Do
- State‑of‑the‑art voice cloning
- Low latency and cost‑effective text‑to‑speech
Ideal Candidate
- 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 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.
How to Apply
Tell us more about yourself and why you’re interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn.
Community & Inclusion
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.
Senior Software Engineer, AI Model Serving - Birmingham, United Kingdom Birmingham, United Kingdom employer: Speechify, Inc.
Contact Detail:
Speechify, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer, AI Model Serving - Birmingham, United Kingdom Birmingham, United Kingdom
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a personal project or contribute to open-source. This not only boosts your portfolio but also gives you something tangible to discuss in interviews.
✨Tip Number 3
Prepare for the technical interview! Brush up on your coding skills and be ready to solve problems on the spot. Practice makes perfect, so don’t skip this step!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing directly from passionate candidates like you!
We think you need these skills to ace Senior Software Engineer, AI Model Serving - Birmingham, United Kingdom Birmingham, United Kingdom
Some tips for your application 🫡
Show Your Passion: When you apply, let us know why you're excited about the role and how it aligns with your career goals. We love seeing genuine enthusiasm for what we do at Speechify!
Highlight Relevant Experience: Make sure to showcase your experience with GCP, Docker, and Kubernetes in your application. We want to see how your skills can contribute to our AI team and the innovative work we're doing.
Include Your Portfolio: Don’t forget to add links to your portfolio and LinkedIn profile. This gives us a better idea of your past projects and achievements, helping us understand your unique contributions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows that you’re serious about joining our team!
How to prepare for a job interview at Speechify, Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in GCP, AWS, and Azure. Brush up on your knowledge of Docker and Kubernetes, as these are crucial for the role. Be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous roles, especially related to AI model serving or backend engineering. Highlight your ability to prioritise tasks based on urgency and impact, as this will resonate with the team’s focus on efficiency.
✨Demonstrate Your Passion for Innovation
Speechify values creativity and drive, so be sure to express your enthusiasm for working at the intersection of AI and audio. Share any personal projects or ideas that showcase your innovative thinking and how they could benefit the company.
✨Prepare Thoughtful Questions
Have a few insightful questions ready about Speechify's products and future direction. This shows your genuine interest in the company and helps you assess if it’s the right fit for you. Ask about their approach to inclusivity and how they foster a dynamic work environment.
