
Transformative Audio Engineering Role
3 days ago
To power our next-generation models, we seek a skilled and experienced Senior Audio Engineer to join our team. As a core member of our Data Infrastructure team, you will be responsible for designing and implementing scalable audio data ingestion pipelines, collaborating closely with our Scientists to shift the cost/throughput/quality frontier.
This is an exciting opportunity to work on a life-changing product that directly impacts and supports people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. You will have the opportunity to make a big impact in a transformative industry at the intersection of artificial intelligence and audio.
Responsibilities:
- Design and implement scalable audio data ingestion pipelines using cloud infrastructure (GCP) and Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost.
- Work with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap.
Requirements:
- BS/MS/PhD in Computer Science or a related field.
- 8+ years of industry experience in software development, preferably in audio engineering.
- Proficiency with Python scripting in Linux environments.
- Experience with Docker and Infrastructure-as-Code concepts, as well as professional experience with at least one major Cloud Provider (we use GCP).
- 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.
- Competitive salaries and a friendly and laid-back atmosphere.
- Opportunity to work on a life-changing product that millions of people use.
Key Skills:
- Audio data ingestion pipeline design and implementation.
- Cloud infrastructure (GCP) and Terraform experience.
- Python scripting in Linux environments.
- Docker and Infrastructure-as-Code concepts.
- Professional experience with at least one major Cloud Provider (we use GCP).
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