Backend Software Engineer (ML Training Systems)

What You’ll Do

• 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

You’ll Love This Role If You

• Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity

• Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work

It’s Important To Us That You Have

• 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.

It Would Be Great if You Had

• 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