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Software Engineer, Data Infrastructure & Acquisition

Speechifyā€¢šŸ“ Germany•Estimated: $80,000 - $120,000

✨ AI Insights & Summary

Join Speechify, a rapidly growing tech company on a mission to eliminate reading barriers, and contribute to their innovative AI team. This role is pivotal in ensuring the high-quality data necessary for training cutting-edge text-to-speech models. You'll work in a fully distributed environment alongside experts from top tech companies and institutions, shaping the future of AI in audio and making a tangible impact on millions of users, especially those with learning differences.

About Speechify

Speechify's mission is to ensure reading is never a barrier to learning. Our text-to-speech products are used by over 50 million people globally to transform reading materials into audio, enhancing reading speed, comprehension, and retention. Recognized by Google as Chrome Extension of the Year and by Apple with a Design Award for Inclusivity, Speechify operates as a 100% distributed company with nearly 200 employees worldwide.

About the Role

We are hiring a Software Engineer for our Data side of the AI team. This position is responsible for all aspects of data collection crucial for our model training operations. You will be instrumental in building high-quality datasets at petabyte-scale and low cost through tight integration of infrastructure, engineering, and research.

What You'll Do

  • Be resourceful in discovering new sources of audio data and integrating them into our ingestion pipeline.
  • Operate and enhance the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with Scientists to improve the cost, throughput, and quality of data, delivering richer datasets at a larger scale for our next-generation models.
  • Partner with the AI Team and Speechify Leadership to define the dataset roadmap that will power Speechify's future 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, with professional experience with at least one major Cloud Provider (GCP preferred).
  • Experience with web crawlers and large-scale data processing workflows is a plus.
  • Ability to manage multiple tasks and adapt to evolving priorities.
  • Strong written and verbal communication skills.

What We Offer

  • A fast-growing environment where you can significantly influence the company and product direction.
  • An entrepreneurial team that encourages risk-taking, intuition, and hustle.
  • A hands-off management style to foster focus and high performance.
  • An opportunity to make a substantial impact in a transformative industry.
  • Competitive salaries, a welcoming and relaxed atmosphere, and a commitment to building a great asynchronous culture.
  • The chance to work on a life-changing product used by millions.
  • Build products that directly support individuals with learning differences such as dyslexia, ADD, low vision, concussions, autism, and more.
  • Engage in one of the fastest-growing tech sectors: the intersection of artificial intelligence and audio.

How to Apply

Share more about yourself and your interest in the role. Please include links to your portfolio and LinkedIn profile.

Referrals

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Diversity & Inclusion

Speechify is committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected characteristics.

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Job Overview

Posted6/11/2026
CategoryCloud & DevOps
SourceArbeitnow

FAQ

Is this position remote?

The Software Engineer, Data Infrastructure & Acquisition role is a remote opportunity. The location specified is Germany.

What is the salary?

The salary is not explicitly stated, but is competitive and based on experience.

How do I apply?

You can apply by clicking the "Apply for this role" button above to submit your application on the hiring website.

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