Software Engineer, Data Infrastructure & Acquisition - Raleigh, NC, USA

Speechify; Raleigh (NC); Sur place; USD 140 000 - 200 000; Plein temps

Avantages offerts par ce poste

Competitive salaries

Friendly and laid-back atmosphere

Hands-off management approach

Impactful work on a life-changing product

Résumé du poste

Speechify is looking for a skilled Software Engineer to join their AI team in Raleigh, North Carolina. The role focuses on data collection for model training, infrastructure management, and collaboration with various teams to optimize data processing.

Ideal candidates should have a BS/MS/PhD in Computer Science and at least 5 years of experience in software development, with proficiency in Python, Bash, Docker, and cloud environments. The compensation ranges from $140,000 to $200,000, along with bonuses and equity.

Qualifications

• 5+ years of industry experience in software development.
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

Responsabilités

• Find new sources of audio data and bring it into our ingestion pipeline.
• Operate and extend the cloud infrastructure for our ingestion pipeline.
• Collaborate with scientists to enhance cost and quality of data.

Connaissances

Software development

Bash/Python scripting

Cloud infrastructure management

Docker

Web crawling

Data processing workflows

Formation

BS/MS/PhD in Computer Science or related field

Outils

GCP

Terraform

Description du poste

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, and 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 and 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 such as 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.

EEO Statement

Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.