Responsibilities
- Enhance core services for ingesting, organizing, and transforming data, with focus on networking, speech analysis, audio conversion, and improving speed and memory efficiency
- Build and refine machine learning training pipelines to ensure high performance and flexibility for training next-generation model architectures at scale
- Create methods to assess, construct, and fine-tune services aimed at achieving peak system efficiency
- Diagnose and resolve intricate technical problems involving network communication, task scheduling, databases, and storage systems
- Collaborate with DataOps and Research teams to deliver complete solutions, from concept through implementation of new services, features, or products
AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance
Using and being comfortable with AI is essential—it's central to operations, innovation, and performance evaluation
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work
All team members must actively engage with advanced AI tools, experiment regularly, and incorporate custom AI solutions into daily tasks
Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do
Applicants should adapt quickly to emerging models and techniques, seamlessly embed AI into workflows, and consistently explore new capabilities
Change is rapid, and you can expect your day-to-day work to evolve just as quickly
Change happens rapidly, and the nature of daily responsibilities will shift just as fast
This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5
This position may not suit those unwilling to experiment, adjust quickly, think critically under pressure, or learn continuously, or who prefer rigid, traditional work structures
