At a Glance
- Tasks: Join our AI team to develop and manage data collection for model training.
- Company: Speechify, a leader in AI technology with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and creativity.
- Why this job: Make an impact by building high-quality datasets that power next-gen AI models.
- Qualifications: 5+ years in software development, proficient in Python and cloud technologies.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- 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 the job involves
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.
- 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
Software Engineer (Data Infrastructure & Acquisition) in London employer: Deepstreamtech
At Speechify, we pride ourselves on being an innovative employer that fosters a collaborative and dynamic work culture. Our commitment to employee growth is evident through our focus on professional development and the opportunity to work with cutting-edge technology in a vibrant location. Join us to be part of a team that values creativity and encourages you to push the boundaries of data infrastructure while making a meaningful impact in the AI space.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer (Data Infrastructure & Acquisition) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data infrastructure or cloud services. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding the tools we use, like Docker and GCP. Practice common interview questions and maybe even do some mock interviews with friends.
✨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 joining our team at Speechify.
We think you need these skills to ace Software Engineer (Data Infrastructure & Acquisition) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in software development, especially with bash/Python scripting and cloud providers like GCP. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background makes you a perfect fit for our Data team. Be genuine and let your personality come through – we love to see enthusiasm!
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've tackled challenges in data processing or infrastructure. We’re looking for scrappy individuals who can adapt to changing priorities, so share those stories that demonstrate your resilience!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially bash/Python scripting and Docker. Brush up on your experience with GCP and Infrastructure-as-Code concepts, as these will likely come up during technical questions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges or optimised workflows. Think about how you’ve handled multiple tasks and adapted to changing priorities in past roles, as this will demonstrate your ability to thrive in a dynamic environment.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining your past projects and technical concepts in a clear and concise manner. Remember, it’s not just about what you know, but how well you can share that knowledge with others.
✨Be Ready to Collaborate
Since this role involves working closely with scientists and other team members, be prepared to discuss how you approach collaboration. Share examples of successful teamwork and how you’ve contributed to collective goals, especially in data-driven projects.
