Junior Algorithm Developer, AI and Machine Learning
Join a change-detection team developing AI systems that keep digital maps updated. Design, train, evaluate, and deploy deep learning models that process large-scale crowdsourced and driving data for autonomous-vehicle applications.
Responsibilities
- Own projects from research and prototyping through neural-network design, training, evaluation, integration, and scalable deployment.
- Process and analyze large-scale crowdsourced data to improve model performance and resolve complex edge cases.
- Develop production-ready deep learning systems for detecting road and infrastructure changes.
- Improve model accuracy, robustness, and runtime efficiency using real-world driving data.
- Collaborate with algorithm developers, software engineers, product managers, and systems teams.
Requirements
- B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance.
- At least 1 year of hands-on experience developing deep learning solutions with Python and frameworks such as PyTorch.
- Strong foundations in algorithms, machine learning, and deep learning.
- Strong analytical skills and a strong sense of ownership.
- Ability to collaborate effectively across technical and product teams.
Nice to have
- Experience with Graph Neural Networks.
- Experience using AI agents and modern productivity tools in development workflows.
- Experience with cloud environments and big data tools.