Company Overview
Deepgram is a foundational AI company on a mission to transform human-machine interaction using natural language. We give any developer access to the fastest, most powerful voice AI models including speech-to-text, text-to-speech, and spoken language understanding with just an API call. From transcription to sentiment analysis to voice synthesis, Deepgram is the preferred partner for builders of voice AI applications.
Opportunity
We are seeking a backend engineer focused on AI inference to join the team powering Deepgram’s core speech inference APIs. You’ll implement and optimize inference code, experiment with cutting-edge technologies, and develop, maintain, and deploy the stack of services behind our blazing-fast, massive-throughput inference system. This role blends work on backend services and systems with domain specialty in neural networks and GPU programming. Our team owns the applications that serve api.deepgram.com and empowers builders of innovative speech products by focusing on a world-class combination of reliability, efficiency, and latency.
What You’ll Do
- Implement inference for novel model architectures developed by Deepgram’s trailblazing research team
- Develop, test, and deploy application code for massive-scale production services
- Debug complex system issues that include networking, scheduling, and high-performance computing interactions
- Build tooling for internal analysis and benchmarking to identify opportunities for efficiency improvements
- Experiment with optimization techniques for ML workloads on NVIDIA GPUs and ship the key wins to prod
You’ll Love This Role If You
- Think of yourself as a generalist while enjoying learning deeply in specific areas, causing you to go from debugging a customer issue one day to designing an algorithm the next
- Like sipping piña coladas and getting caught in the rain
- Enjoy taking ownership of features from early collaborations with researchers through testing in production
- Love getting nitty-gritty with profilers, hardware architectures, and inference algorithms
- Want to work within the context of a humble, collaborative team that collectively owns mission-critical production services
It’s Important to Us That You Have
- The ability to work collaboratively in a fast-paced environment and adapt to changing priorities
- Proven industry experience building and shipping production services
- Strong confidence in a lower-level language like C, C++, or Rust
- Experience slicing large projects or initiatives into smaller experiments or incremental improvements
- Expertise in a ML framework like Torch or Tensorflow
- Experience with GPU programming using tools like CUDA or libraries like cuDNN, cuBLAS, etc.
It Would Be Great If You Also Had
- Extensive professional experience with Rust and C++
- Experience optimizing ML workloads in production
- Familiarity with GPU hardware architecture and its impact on inference pipelines
Benefits Extracted with AI
- Remote work flexibility
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