At a Glance
- Tasks: Join our AI team to build and optimise data pipelines for innovative text-to-speech technology.
- Company: Speechify, a leading tech company transforming reading accessibility for millions.
- Benefits: Competitive salary, remote work, and a supportive, entrepreneurial culture.
- Other info: Dynamic, fully remote team with excellent growth opportunities and a commitment to inclusivity.
- Why this job: Make a real impact in a transformative industry while working with cutting-edge AI technology.
- Qualifications: 5+ years in software development, proficiency in Python, Docker, and cloud infrastructure.
The predicted salary is between 60000 - 80000 £ 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. 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.
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.
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. And don’t forget to include links to your portfolio and LinkedIn.
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.
Remote Data Infrastructure Engineer for AI Data Pipelines in Bristol employer: Speechify
At Speechify, we pride ourselves on being an exceptional employer that fosters a fast-growing and entrepreneurial environment where innovation thrives. Our fully remote work culture promotes flexibility and autonomy, allowing you to focus on impactful projects that transform the way millions engage with reading. With competitive salaries, a commitment to inclusivity, and opportunities for professional growth, joining our team means contributing to a life-changing product in the dynamic intersection of AI and audio.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Infrastructure Engineer for AI Data Pipelines in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or other platforms. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects. This gives potential employers a taste of what you can do, especially for a tech role like this.
✨Tip Number 3
Prepare for the interview by researching Speechify and its products. Knowing their mission and how you can contribute will impress them and show you're genuinely interested.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re keen on joining the team at Speechify.
We think you need these skills to ace Remote Data Infrastructure Engineer for AI Data Pipelines in Bristol
Some tips for your application 🫡
Show Your Passion:When you're writing 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 at Speechify.
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 Data Infrastructure Engineer. This helps us see how you fit into our team!
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured responses that get straight to the heart of your experience and qualifications. Avoid fluff – we want to know what makes you a great fit!
Include Links to Your Work:Don’t forget to include links to your portfolio or any relevant projects you've worked on. This gives us a chance to see your skills in action and understand your approach to problem-solving.
How to prepare for a job interview at Speechify
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, especially GCP, Terraform, and Docker. Brush up on your bash and Python scripting skills, as these will likely come up during technical discussions.
✨Show Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly related to data processing or infrastructure. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Understand the Company’s Mission
Research Speechify’s mission to make reading accessible for everyone. Be ready to explain how your role as a Data Infrastructure Engineer can contribute to this goal, especially in terms of enhancing AI data pipelines.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the AI dataset roadmap, and how your work will impact the company’s products. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.