Machine Learning Engineer Intern / Thesis

Description

The Role You automate manufacturing processes to enhance productivity and efficiency. Similar to a research environment, you advance algorithms, conduct experiments, and evaluate the system's performance. You are responsible for developing and maintaining an AI infrastructure, from the conceptualization and creation of a working prototype, to the delivery and operation of the product. You will closely work with the founders of Manukai and become a key member of our startup. We anticipate your proactive contribution of innovative ideas to shape our product and company.

Responsibilities

– Develop a pipeline for feature detection algorithms and similarity search on 3D objects – Implement state-of-the-art sequence-to-sequence modeling methods – Create an optimization pipeline leveraging Manukai’s state-of-the-art algorithms – Maintain good software quality and sustainable development. Review code developed by other team members and provide feedback to ensure best practices (e.g., accuracy, testability, efficiency, and style)

Qualifications

– Advanced degree (MSc or PhD) in a quantitative field – Proficiency with machine learning algorithms and tools (preferably in Python, e.g., Tensorflow or PyTorch) – Knowledge of state-of-the-art deep learning methods like GNNs, CNNs, Transformers, Image Processing and Segmentation – Experience in software development in a team

Advantageous

– Experience with CAD/CAM software and CNC machining technology – Open Source References (GitHub, Publications, Kaggle, or similar)

Benefits

You receive – Personal growth potential: You will be a key member and be part of the success story – Personal development: Free time to follow your personal interests and goals – Time-Off and flexibility: Generous vacation and flexible work hours