Backend Software Engineer - Active Learning Team

Deepgram

18h

About The Position

Deepgram is looking for a backend software engineer to lead the design and implementation of Deepgram’s internal data and ML training systems. You will design and implement secure, robust, and scalable services for data cataloging, querying, and access; efficient, distributed compute orchestration for ML training jobs; integrations with Research tooling, and more. Your skill at building highly reusable code that overcomes technical challenges will be paired with an intuition for what improves researcher productivity and model quality. You will be a critical voice in Deepgram’s Product, Data, and Engineering teams, driving high impact products from start to finish.

Requirements

3+ years of experience in an industry role
Programming experience in Rust (or C, C++), with competence in Python
Excellent communication and organizational skills, both written and verbal.
A high level of experience and understanding of version control; preferably git.
Comprehensive experience with UNIX-style systems.

Nice To Haves

Experience with modern machine learning, such as experience with a framework like Torch or implementation knowledge of architectures like CNNs, RNNS, and transformers
Experience with audio processing

Responsibilities

Improve Deepgram’s core data ingestion, cataloging, and transformation services including areas in networking, speech processing, audio transcoding, and latency and memory optimization
Engineer ML training code to be performant and highly extensible, rapidly enabling large-scale training of new foundational model architectures
Develop processes for measuring, building, and optimizing services to maximize system performance
Debug complex system issues that include networking, scheduling, database, and other persistence store interactions
Partner with DataOps and Research to design and implement new services, features, and/or products end to end