Machine Learning Engineer internship
AMSTERDAM, THE NETHERLANDS
JOIN THE SEAGULL TEAM
BrainCreators is an innovative technology firm that specialises in Software as a Service (SaaS) products. Our flagship software products, INSPECH Digital Road Inspection and SEAGULL Surveillance, are designed to solve real-world problems and revolutionise industries globally. Our SaaS products are centred around visual inspection tasks, utilising the latest and most advanced ML technology.
As a Machine Learning Engineer intern, you’ll be part of the SEAGULL product team. You’ll work with talented colleagues who have a sharp focus on scalable products for a worldwide market.
Internship Topic: Multi-Object Tracking in Shipping Surveillance
Challenges:
- SEAGULL continuously monitors video streams of ship movements.
- High variance in ship type, ship class, and ship numbers.
- High variance due to occlusions, environment, and among camera positions.
- Complex interactions among different functionalities within the product.
- Need for seamless integration with other technologies in the field.
Responsibilities:
- Support our ongoing development of tracking algorithms.
- Implement multi-object and multi-stream tracking.
- Improve tracking robustness in the face of high variance in the data.
- Demonstrate the viability of your ideas on real world data.
- Deliver well-documented code to the product team.
Team responsibilities:
- Collaborate with ML Engineers, ML Lead and Product Manager to build a robust tracking algorithm for ships.
- Contribute to the team spirit with a constructive attitude by giving and receiving feedback
- Enhance the team's collective knowledge and become a highly valued participant in Machine Learning chapter meetings.
Qualifications:
- Excited about the opportunity to have the freedom and the responsibility to contribute to building BrainCreators’ Artificial Intelligence.
- Worked on at least one project related to computer vision/image processing.
- Teamplayer.
- Solving challenges independently.
- Excellent project planner: you can take a long-term goal and break it up into achievable steps.
- Studying in the Netherlands or have a working permit in the EU/Netherlands.
A big plus is...
- Machine Learning framework experience (e.g. TensorFlow, PyTorch, etc.).
- Object tracking experience (e.g. optical flow, SORT, etc.)
Interest:
- You have a product-oriented mindset and care deeply about the product.
- Demonstrate keen attention to detail in your work.
- An interest in the application of ML technologies.
- A sense of humour and a desire to interact with people.
- Stay up-to-date with the latest trends, tools, and technologies.
- An attitude of taking responsibility and ownership.
What we offer:
- An open culture with many opportunities to work with cutting-edge technology.
- Inspiring colleagues from all over the world.
- A cutting-edge office environment with LED walls, gym, sauna, nightclub, and a fantastic view of the Amsterdam Houthavens.
- A delightful opportunity to enjoy drinks together after work.
- Room for personal growth and initiative.
- For this position, you can expect a monthly gross remuneration of €300.
- Start: As soon as possible
Ready to apply?
Ben je enthousiast geworden om BrainCreators te komen versterken?
Stuur dan je cv en motivatiebrief naar jobs@braincreators.com!
ABOUT US
OUR MISSION AND VISION
We are here to automate highly skilled repetitive inspection work and present the results as actionable insights in cutting edge user experiences to empower the industries that make the most positive impact on our common future and contribute in closing the skills gap.
We allow expert human inspectors to clone their knowledge in a digital counterpart and share the resulting digital inspector with others as a software service.
We allow expert human inspectors to clone their knowledge in a digital counterpart and share the resulting digital inspector with others as a software service.
We help create a future where human beings focus on drawing conclusions from consistent inspection results and turn their interpretation into concrete action to eliminate waste, reduce cost and accelerate innovation.
In the future the application of technologies like deep learning and AI will allow us to spend less time on repetitive tasks and shift our attention to making changes that impact the sustainability of our environment and natural resources.
In the future the application of technologies like deep learning and AI will allow us to spend less time on repetitive tasks and shift our attention to making changes that impact the sustainability of our environment and natural resources.