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 environment, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on collaboration and cutting-edge technology.
- 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, Docker, and cloud services.
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.
Data Infrastructure & Acquisition Software Engineer in Manchester employer: Deepstreamtech
At Speechify, we pride ourselves on being an innovative employer that fosters a collaborative and dynamic work culture. Our Data Infrastructure & Acquisition Software Engineer role offers the opportunity to work with cutting-edge technology in a supportive environment that encourages professional growth and creativity. With a focus on building high-quality datasets at scale, employees benefit from a strong emphasis on teamwork, continuous learning, and the chance to make a significant impact in the AI field.
StudySmarter Expert Advice🤫
We think this is how you could land Data Infrastructure & Acquisition Software Engineer in Manchester
✨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 processing or cloud infrastructure. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to Python, Docker, and cloud services. Practice coding challenges and be ready to discuss your past experiences in detail—this is your chance to shine!
✨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, we love seeing candidates who are genuinely interested in joining our team at Speechify.
We think you need these skills to ace Data Infrastructure & Acquisition Software Engineer in Manchester
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 sure to mention any experience with data processing workflows or web crawlers if you have it.
Show Off Your Communication Skills:Strong communication is key for us at StudySmarter. In your application, make sure to demonstrate your ability to convey complex ideas clearly and concisely. This will help us see how well you can collaborate with our Scientists and other team members.
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 our team!
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 discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges or improved workflows. Think about times when you had to be scrappy to find new data sources or optimise processes, as this aligns perfectly with what they’re looking for.
✨Communicate Clearly
Strong communication skills are key for this role. Practice explaining your past projects and technical concepts in a clear and concise manner. Be ready to collaborate and share ideas, as teamwork is essential in this position.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, the data ingestion pipeline, and how they measure success. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.
