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For Companies At a Glance
- Tasks: Join our AI team to collect and process audio data for innovative model training.
- Company: Speechify, a fast-growing tech company transforming the audio landscape.
- Benefits: Competitive salary, flexible work culture, and opportunities for impactful contributions.
- Other info: Dynamic environment with a focus on innovation and personal growth.
- Why this job: Make a difference in people's lives while working with cutting-edge AI technology.
- Qualifications: 5+ years in software development, proficiency in Python, and cloud experience.
The predicted salary is between 60000 - 80000 £ per year.
We are 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 - Cambridge, 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 - Cambridge, United Kingdom
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Speechify. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects related to data infrastructure or AI, make sure to highlight them when you apply. We love seeing what you can do!
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. Expect questions about cloud infrastructure, Python scripting, and data processing. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to express your passion for our mission! Let us know why you're excited about working on products that help people with learning differences. It’s all about making an impact!
We think you need these skills to ace Software Engineer, Data Infrastructure & Acquisition - Cambridge, 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 your skills align with what we do at Speechify.
Tailor Your CV: Make sure your CV is tailored to the job description. Highlight your experience with data collection, cloud infrastructure, and any relevant projects that showcase your skills in software development. We love seeing how you can contribute!
Include Relevant 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. It’s a great way to stand out from the crowd!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Make sure to communicate your key achievements and experiences without unnecessary fluff!
How to prepare for a job interview at Speechify
✨Know Your Data Inside Out
Make sure you understand the types of data you'll be working with. Brush up on your knowledge of audio data sources and how they can be integrated into ingestion pipelines. Being able to discuss specific examples of data collection methods will show your enthusiasm and expertise.
✨Show Off Your Cloud Skills
Since the role involves GCP and Terraform, be prepared to talk about your experience with cloud infrastructure. Have examples ready that demonstrate how you've managed or extended cloud services in previous roles. This will highlight your technical skills and adaptability.
✨Collaboration is Key
This position requires close collaboration with scientists and other team members. Think of instances where you've successfully worked in a team to solve complex problems. Be ready to share how you communicate effectively and contribute to a collaborative environment.
✨Prepare for Technical Questions
Expect to face technical questions related to software development, scripting, and data processing workflows. Brush up on your bash and Python skills, and be ready to tackle coding challenges or discuss your approach to problem-solving in a technical context.