About the role
-
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.
-
Experience with web crawlers, large-scale data processing workflows is a plus.
-
BS/MS/PhD in Computer Science or a related field.
-
Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP).
-
Ability to handle multiple tasks and adapt to changing priorities.
-
5+ years of industry experience in software development.
-
Strong communication skills, both written and verbal.
-
Proficiency with bash/Python scripting in Linux environments.
-
Tell us more about yourself and why you’re interested in the role when you apply.
-
And don’t forget to include links to your portfolio and LinkedIn.
Millions of jobs, with real people getting hired every day
Questions, answered
Click "Apply with JobAssist" – we tailor your resume and application to this role and submit it for your approval.
Yes. This role at Speechify was screened before publishing – we confirmed the employer before listing it.
The employer didn't disclose a salary range for this listing. JobAssist shows pay whenever it's available.
This position can be done from anywhere, with no in-office requirement.
Yes – every application is tailored from your profile and this job's requirements, and you can review and edit before it's sent.