There’s never been a more exciting time to be part of Rev.
Every role here plays a critical part in shaping the future of speech technology and empowering our customers to do more, faster. We didn’t disrupt the industry by playing it safe. We did it by embracing bold thinking, welcoming diverse perspectives, and giving our team the freedom and responsibility to innovate. At Rev, you won’t just have a seat at the table — you’ll help redesign it.
Come build what’s next with us 🚀
Machine Learning Runtime EngineerHow this role will Serve, Own and Grow at Rev:
At Rev, we're on a mission to understand the human voice. We are looking for a runtime engineer to join our team at Rev. You should be interested in contributing to AIML projects including Automatic Speech Recognition (ASR), Speaker Diarization and the use of Large Language Models (LLM). An important component of this role will be to bridge the gap between research-oriented code and efficient deployable software. You enjoy working with the latest deep learning technologies, copious audiovisual and textual data and implementing the latest research findings.
🔍 Responsibilities:As a Rev Runtime Engineer, you will:
Work jointly with our AI research and AI platform teams to productionize and optimize ML models
Implement fast and efficient production quality code
Work with a team of engineers and researchers to improve and innovate on the existing ASR, Diarization, (L)LM and NLP infrastructure
Profile and optimize existing ASR, LLM and NLP models
Collaborate with researchers to improve our testing and deployment strategies for AIML models
Automate and integrate workflow from diverse systems
Interact with other teams at Rev working towards a shared goal
✅ Qualifications:
University degree in Computer Science, Software Engineering, or related fields
Strong experience in C++
Literacy in Python and Pytorch for high level understanding of research code and algorithms
Experience debugging and identifying computational bottlenecks
Deep understanding of software testing, benchmarking, and continuous integration
Comfort with open-ended tasks, subjective evaluation, making judgment calls and piloting works in progress for production trials
Experience working with AWS services
Comfort with hardware infrastructure (CPU/GPU, NVIDIA)
Nice to have knowledge of:
SIMD, matrix math, OpenFst
C#
machine learning, speech or language processing, data science, empirical evaluation
languages other than English, linguistics
#LI-Remote, #LI-Hybrid
Location Requirement:
If you're based in Austin, TX, this is a hybrid role with an expectation of being onsite 1–2 days per week at our office located at: 1717 W 6th St, Suite 310, Austin, TX 78703.
If you're not based in Austin, this is a fully remote position.
Ready to drive real impact for our customers while helping shape the future of Rev?
Apply now — we’d love to meet you!
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What We Do
Rev is a profitable, growth-stage startup that specializes in meeting the speech-to-text needs of hundreds of thousands of customers annually through its unmatched combination of the world's most accurate speech AI. and the world's largest community of freelancers working side-by-side.
Rev's suite of products includes transcription, captioning, subtitling, as well as a live-captioning app for Zoom video conferencing. Rev also boasts seamless integrations with YouTube and Vimeo, as well as custom APIs for enterprise clients who need novel speech-to-text solutions.
Founded in 2010 by five MIT alumni, Rev has raised millions of dollars in venture capital from top Silicon Valley VCs and experienced exceptionally rapid growth, both internally and externally. Rev was recently named by Forbes as one of America’s Most Promising Artificial Intelligence Companies and is a destination for the world's foremost engineers and speech scientists.
Our promise is to create great work from home jobs, powered by AI. Our vision is to transcend all barriers of communication. Joining Rev means joining a team of smart, passionate, and friendly people with different backgrounds, shared ideas, and similar goals. Oh, and tons of perks!
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