At a Glance
- Tasks: Join our AI team to collect and process audio data for innovative model training.
- 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.
- Other info: Work in a fast-paced, entrepreneurial culture focused on innovation.
- Why this job: Make a real impact on millions by enhancing accessibility in learning.
- Qualifications: 5+ years in software development, proficiency in Python, and cloud experience.
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.
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.
Overview
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.
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 - Edinburgh, United Kingdom employer: Speechify
Contact Detail:
Speechify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer, Data Infrastructure & Acquisition - Edinburgh, United Kingdom
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Speechify. A friendly chat can go a long way in making you stand out when it comes to landing that Software Engineer role.
✨Tip Number 2
Show off your skills! Create a project or contribute to open-source that showcases your data infrastructure expertise. This not only highlights your abilities but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of cloud infrastructure. Practice common algorithms and data structures, and be ready to explain your thought process clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, make sure to include links to your portfolio and LinkedIn to give us a full picture of your experience and passion for the role.
We think you need these skills to ace Software Engineer, Data Infrastructure & Acquisition - Edinburgh, United Kingdom
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 of making reading accessible for everyone.
Tailor Your CV: Make sure your CV is tailored to the job description. Highlight your relevant experience in software development, especially with data infrastructure and cloud services. We love seeing how your skills align with what we're looking for!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your experiences and skills. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Include Links to Your Work: Don’t forget to include links to your portfolio and LinkedIn profile! This gives us a chance to see your work in action and understand your background better. Apply through our website so we can easily access all your details!
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, Docker, and Terraform. 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 examples of how you've tackled challenges in data collection or processing. Think about times when you had to be scrappy to find solutions or improve workflows, as this aligns perfectly with what Speechify is looking for.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining complex technical concepts in simple terms, as you’ll need to collaborate closely with scientists and other team members. Clear communication can set you apart from other candidates.
✨Demonstrate Your Passion for Inclusivity
Since Speechify focuses on making reading accessible for everyone, share your thoughts on inclusivity in tech. Discuss any relevant projects or experiences that highlight your commitment to creating products that support diverse learning needs.