Software Engineer, Data Infrastructure & Acquisition - Plano, TX, USA

Speechify

$140K — $200K *
Plano, TX 75025In-Person
Consumer Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS/MS/PhD in Computer Science or related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments.
  • Expertise in Docker and Infrastructure-as-Code, with experience in GCP.
  • Familiarity with web crawlers and large-scale data processing workflows is a plus.
  • Ability to manage multiple tasks and adapt to changing priorities.
  • Strong written and verbal communication skills.

Responsibilities

  • Identify and secure new audio data sources for the ingestion pipeline.
  • Enhance and manage the cloud infrastructure on GCP using Terraform.
  • Collaborate with Scientists to optimize cost, throughput, and quality of data.
  • Design the dataset roadmap in collaboration with the AI Team and Speechify Leadership.
  • Support the development of next-generation consumer and enterprise products.

Benefits

  • Join a fast-growing environment with influence on company and product direction.
  • Be part of an entrepreneurial team that embraces risk and innovation.
  • Enjoy a hands-off management style for optimal focus and productivity.
  • Significantly impact a transformative industry.
  • Experience a friendly and relaxed work atmosphere with asynchronous culture.
  • Work on a product that positively affects users with learning differences.
  • Engage in a cutting-edge sector at the intersection of AI and audio.
Full Job Description
Overview

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.

What You'll Do
  • 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.

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 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 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.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

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