At a Glance
- Tasks: Join our team to build and maintain data infrastructure for innovative AI products.
- Company: Speechify, a leader in text-to-speech technology with a fully remote team.
- Benefits: Competitive salary, flexible work environment, and opportunities for personal growth.
- Why this job: Make a real impact on millions by enhancing learning accessibility through technology.
- Qualifications: 5+ years in software development, proficiency in Python, and cloud experience.
- Other info: Dynamic, entrepreneurial culture focused on innovation and inclusivity.
The predicted salary is between 30000 - 50000 ÂŁ 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 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 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office.
Overview: The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs. 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 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.
Role Focus: We’re looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high‑quality datasets at petabyte‑scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do:
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline.
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next‑generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next‑generation consumer and enterprise products.
An Ideal Candidate Should Have:
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments.
- Proficiency in Docker and Infrastructure‑as‑Code concepts and professional experience with at least one major Cloud Provider (we use GCP).
- Experience with web crawlers, large‑scale data processing workflows is a plus.
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What We Offer:
- A fast‑growing environment where you can help shape the company and product.
- An entrepreneurial‑minded team that supports risk, intuition, and hustle.
- A hands‑off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid‑back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life‑changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest‑growing sectors of tech, the intersection of artificial intelligence and audio.
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.
Referral: Not looking but know someone who would make a great fit? Refer them!
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.
Software Engineer, Data Infrastructure & Acquisition - London, United Kingdom London, United Kingdom in City of London employer: Speechify, Inc.
Contact Detail:
Speechify, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Data Infrastructure & Acquisition - London, United Kingdom London, United Kingdom in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Speechify or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Prepare for those technical interviews! Brush up on your coding skills and be ready to showcase your problem-solving abilities. Practising with mock interviews can really help you feel more confident.
✨Tip Number 3
Show your passion for data and AI! When you get the chance to speak with the team, share your thoughts on current trends in the field and how you can contribute to Speechify's mission. It’s all about making that connection!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Speechify family.
We think you need these skills to ace Software Engineer, Data Infrastructure & Acquisition - London, United Kingdom London, United Kingdom in City of London
Some tips for your application 🫡
Show Your Passion: When you write your application, let your enthusiasm for the role shine through! We want to see why you're excited about joining our team and how you can contribute to our mission of making reading accessible for everyone.
Tailor Your CV: Make sure your CV is tailored to the job description. Highlight your relevant experience and skills that match what we're looking for in a Software Engineer. This helps us see how you fit into our team right away!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured writing that gets straight to the heart of your qualifications and experiences. Remember, we’re looking for solid communication skills!
Include Links: Don’t forget to include links to your portfolio and LinkedIn profile! This gives us a chance to see your work and understand your background better. Apply through our website to make sure we get all your details!
How to prepare for a job interview at Speechify, Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially GCP, Docker, and Python. Brush up on your scripting skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data processing or infrastructure management. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your ability to think strategically under pressure.
✨Communicate Clearly
Since strong communication skills are paramount, practice explaining complex technical concepts in simple terms. This will not only demonstrate your expertise but also your ability to collaborate effectively with team members from diverse backgrounds.
✨Be Ready to Discuss Data Sources
Given the role's focus on data acquisition, come prepared with ideas on how to find new audio data sources. Think about innovative methods you've used in the past or potential strategies that could benefit Speechify’s ingestion pipeline.