DataCrunch
AI / ML Engineer Intern – Masters, PhD
Job Description
We’re a close-knit, ambitious team of 30, driven by a mission to make this world a better place. We want you on our team if you’re ready to lead with heart and focus.
We are looking for an AI intern to work on benchmarking and testing the latest machine learning models on different GPU hardware, analyzing the latest model architectures, and writing down the findings in accessible blog articles, as well as participating as a ML engineer working on model deployment for our inference customers.
Candidates preferred for this role should be currently enrolled in a PhD program, or in the late stages of their master’s studies.
- Develop, run and maintain AI model benchmarks for different workloads and GPU types.
- Review and analyze the latest models and model optimizations in image generation, language modelling and other domains.
- Write high-quality articles, tutorials, and case studies related to model performance, architecture, and effective inference deployment.
- Work closely with machine learning and software engineering teams to bring the latest model performance optimizations into production use.
- Complete other tasks as necessary to contribute to the progress of the company.
- Shown progress towards PhD degree, or exceptional knowledge in late stages of master’s degree in the fields of Computer Science, Machine Learning, or relevant technical field.
- Excellent writing and communication skills in English.
- Ability to explain complex technical concepts in a clear and engaging manner.
- Good grasp of the underlying mathematical principles.
- Company equity – you’re in this with us!
- Competitive salary and benefits, including health insurance, lunch benefit, annual budget to spend as you wish (i.e. sport, transport, wellness, culture)
- Flexible work environment
- Opportunity to work with cutting-edge AI
- Growth in a mission-driven company
