Headquarters: USA
URL: https://vivatranslate.com/
You will be part of a team deploying state-of-the-art deep-tech models into production. This position is ideal for a server-side developer with relevant experience in real-time streaming. As is the trend with ML, the tools, architectures, and solutions change quickly - you will be expected to learn and adapt.
About us
Viva Translate is led by a team of engineers from top companies and institutions, such as Google and Stanford, with a shared dream. We are creating a world where language and culture are no longer barriers to work and opportunity, and we are starting across Latin America.
Technology is at the core of our product. Viva is building a tool that helps people read, write, and speak better across English, Spanish, and Portuguese. We have an incredible dream for the future of borderless work. But we know that great dreams start with great people.
What's your story? If you too are an explorer, a dreamer, and a builder, we'd love to meet you.
What you'll be doing
What you'll be doing
- Design & build infrastructure to deploy machine learning models at scale
- Develop & deploy scalable tools to handle machine learning training and inference
- Identify & evaluate new technologies to improve performance, maintainability, and reliability
- Apply software engineering practices to machine learning, including CI/CD, automation etc.
- Improve dynamic scaling for GPU clusters
- Run profilers on production code
- Our ML tech stack includes Python/Django, AWS, CI/CD, Terraform, BERT, Spacey
Must-have skills ?
- 2-5 years of experience building end-to-end systems as a Platform Engineer or MLOps Engineer
- Strong software engineering skills in complex, multi-language systems
- Experience working with cloud computing and database systems
- Experience building custom integrations between cloud-based systems using APIs
- Experience developing and maintaining ML systems built with open-source tools
- Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Argo, etc.)
- Exposure to deep learning approaches and modeling frameworks (e.g., PyTorch)
- 2+ years of experience building production-scale software
- Bachelor’s degree in Computer Science or related field
Nice to haves ?
- Hands-on experience with real-time audio streaming on large-scale deployments
- Experience with AWS Lambdas
- Master's degree and/or equivalent professional experience
- Fluent in Spanish and/or Portuguese
Our values ?
- Always leveling up - we take pride in setting new standards and taking ownership of our work
- Science-based - we make decisions together based on data and logic
- Open integrity - we promote a low ego environment that treasures transparency, empathy, and feedback
- Playfulness - we champion diversity and creativity, and want everyone to be unafraid to fail & fail quickly
What we offer ✨
- Fully remote team ?
- 3+ in-person retreats (past locations include Mexico, Colombia & Ecuador) annually
- Join an early-stage startup (12 people & growing ?)
- Home office stipend
- Health & fitness benefits
- Learning stipend - we are here to support your personal & professional development journey
To apply: https://weworkremotely.com/remote-jobs/viva-translate-mlops-engineer