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Remote mid-level software engineer with generalist title and metro location increases candidate competition.
Core data engineering and cloud skills transfer across industries, though audio-domain experience is beneficial.
Mandatory 5+ years and required cloud, IaC, and scripting skills create strict filters.
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Lead the sourcing and ingestion of large-scale audio data to support AI model training operations.
Operate and extend cloud data ingestion infrastructure on GCP using Terraform to ensure scalable data pipelines.
Collaborate with AI scientists and leadership to optimize data cost, quality, and scale, and to develop the dataset roadmap for next-gen products.
Bachelor’s, Master’s, or PhD in Computer Science or related field.
Minimum 5 years of industry experience in software development.
Proficiency with bash/Python scripting in Linux environments, Docker, and infrastructure-as-code, with professional experience on at least one major cloud platform (GCP preferred).
Experience with web crawlers and large-scale data processing workflows is a plus but not mandatory.
Experienced in building and operating cloud-based data ingestion pipelines with a focus on cost, throughput, and data quality optimization.
Comfortable working cross-functionally with research scientists and leadership to align data infrastructure strategies with AI model needs.
Able to work in a fast-paced, scalable environment focused on large-scale data for AI applications, particularly in speech and audio domains.