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