42dot is a technology company pioneering frictionless transportation services. 42dot develops technologies and platforms integrating autonomous driving, connected vehicles, and smart city infrastructure. Backed by Space Capital.
About the role
We’re looking for an intern to help our team develop and evaluate foundation models. You’ll work alongside machine learning engineers, gain experience with model training and fine-tuning, and own a focused project with clear deliverables. Reproduce baseline results and understand our models, datasets, and evaluation workflows. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong Python programming skills and familiarity with PyTorch or a similar framework
- Understanding of machine learning fundamentals, deep learning, and transformer architectures
- Experience with an ML project through coursework, research, or personal work
- Ability to debug problems, interpret experimental results, and communicate clearly
- Curiosity, initiative, and willingness to learn
- Working with pretrained models and tools such as Hugging Face Transformers
More about this role
42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles.
We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system.
We’re looking for an intern to help our team develop and evaluate foundation models. You’ll work alongside machine learning engineers, gain experience with model training and fine-tuning, and own a focused project with clear deliverables.
Reproduce baseline results and understand our models, datasets, and evaluation workflows.
Implement and evaluate improvements in fine-tuning, data quality, or inference efficiency.
Run controlled experiments and analyze model performance, computational cost, and failure cases.
Contribute reusable code, evaluation tools, and technical documentation.
Present your findings and...
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