Rev is seeking a Machine Learning Runtime Engineer to contribute to AIML projects such as Automatic Speech Recognition (ASR), Speaker Diarization, and Large Language Models (LLM).
The role involves bridging the gap between research-oriented code and efficient deployable software.
Responsibilities include working with AI research and platform teams to productionize and optimize ML models, implementing fast and efficient production quality code, and collaborating with engineers and researchers to improve existing infrastructure.
The engineer will profile and optimize ASR, LLM, and NLP models, automate workflows from diverse systems, and interact with other teams at Rev towards shared goals.
Requirements:
A university degree in Computer Science, Software Engineering, or related fields is required.
Strong experience in C++ is necessary.
Candidates should have literacy in Python and Pytorch for understanding research code and algorithms.
Experience in debugging and identifying computational bottlenecks is essential.
A deep understanding of software testing, benchmarking, and continuous integration is required.
Candidates must be comfortable with open-ended tasks, subjective evaluation, and making judgment calls.
Experience working with AWS services is necessary.
Comfort with hardware infrastructure, including CPU/GPU and NVIDIA, is required.
Benefits:
The position offers a hybrid work model for those based in Austin, TX, with an expectation of being onsite 1–2 days per week.
For candidates not based in Austin, the role is fully remote.
Rev provides an opportunity to work with the latest deep learning technologies and contribute to innovative projects in speech technology.
