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Computer Vision Intern (Research)

On-site
  • Zürich, Switzerland

Job description

Are you passionate about machine learning & computer vision? Do you want to use your skills in a real-world setting? We may have the perfect internship for you!


We're EthonAI, an AI startup changing the game in quality management for manufacturing. We use some of the best tech out there, but we always want to stay one step ahead. That's where you come in! We're looking for curious minds who are excited about turning bleeding-edge tech into a tangible product.


Join us as a Computer Vision Intern and dive into the exciting blend of idea discovery and product development. You'll work closely with our engineers, and like all team members, you'll be key in delivering real value to our customers. Ready to take the leap? Let's make a difference together!


About EthonAI

EthonAI is an AI-powered platform that detects, monitors, and prevents quality losses in manufacturing. We are backed by leading international investors and, according to Sifted, EthonAI is one of the 15 most promising startups in the DACH region. Our software products are used by world-leading manufacturing companies and have been proven to reduce production waste by up to 50% while increasing job satisfaction of factory workers. We aim for nothing less than setting a new gold standard for AI in manufacturing.


Tasks

  • Work with our team to develop innovative machine learning methods for industrial computer vision.

  • Engage with cloud technologies to enhance our pipelines for AI model training and testing. Your work will boost our efficiency and effectiveness.
  • Immerse yourself in the latest scientific literature, extracting and summarizing key findings. Your ability to distill complex ideas will help keep us at the forefront of AI advancements.
  • Help devise strategies for incorporating our breakthrough discoveries into products for our customers. Your insights will directly influence the user experience and product development.
  • Dive headfirst into the exciting field of generative modeling. Experiment with the latest trends and techniques, and brainstorm how we can leverage these advancements in our solutions. Your innovative work will fuel our evolution and growth.


Benefits

  • On-site work is important for this role, but with significant scope for flexible and partially-remote working schedules.

  • Direct impact on product and culture. Become part of an amazing team!

  • Experience your work having a strong impact on production quality and efficiency in factories around the globe.

  • Grow with a fast-paced AI startup and continuous learning opportunities, such as taking online courses.

Job requirements

We believe in people who are driven by curiosity and are willing to learn and take the next step. Please also reach out if you don't exactly "check all these boxes".


Skills & Experience

  • Currently pursuing a degree or a recent graduate in computer science, data science, or a related field.

  • Fluency in Python and experience with at least one of the major ML libraries such as PyTorch, Tensorflow, or JAX.

  • Extensive knowledge of machine learning and deep learning algorithms, including most recent developments (e.g., in the field of large language models).

  • Experience working on computer vision problems.


Personal Qualifications

  • Fluent in spoken and written English.

  • Excellent communication and collaboration skills.

  • High standards regarding robustness and usability of automated workflows.

  • Ability to navigate changing processes and shifting priorities.

  • Strong motivation to work in a dynamic and fast-paced startup environment.


Equal Opportunity
We are an equal opportunity employer and are dedicated to fostering diversity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply and intend to consider all applications equally regardless of sex, ethnicity, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

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