Research Intern Symbolic-Subsymbolic Hybrid Ai

Your attitude

• Workload contribution of 40h per week, 6-8 months (all activities related to your MSc program are included in this 40h, other jobs and classes are not)
• Capable to work independently on your own research questions and experiments
• Active participation in team effort when needed
• Solid control of spoken and written English language
• A strong opinion on ML research and how to apply it in practice
• Solid fundamental knowledge of ML theory and practice
• Overall knowledge level of a graduating Ai MSc student
• Good PyTorch skills
• Good understanding of the required mathematics
• Good software development skills
• Active participation in internal workshops, presenting your progress and discussing your experimental design choices with your team and other verticals in the company
• Willingness to rewrite the thesis as a publishable paper
• Co-authorship for your thesis supervisors on publications derived from the thesis.

What we can offer you

• Be part of a growing company with a proven track record in applied Ai 
• A research internship position on one of our vertical teams
• Interaction with research interns from our other vertical teams, in a science-oriented horizontal research team. 
• A protected environment for your research, without distraction by commercial deadlines of the team
• Opportunities to contribute to the team by developing dual-use software: for your own research and the team’s products. 
• Weekly supervision on scientific progress, experimental design, and thesis text 
• Weekly supervision on software development and code reviews 
• Daily contact with the vertical team, and morning stand-up meetings 
• Weekly participation in internal ML workshops, sharing ideas with others 
• Access to compute resources (in addition to University resources) 
• Opportunity to work from home, or work from our HQs at Prinsengracht or Science Park Amsterdam. 
• Financial compensation of 300 euros per month 
• Learn all the essential things a Master program typically does not offer, e.g.,
• onboarding with software development skills, 
• MLOps skills, 
• optimal use of compute resources, 
• versioning of ML and datasets, 
• collaboration software, 
• and communication skills. 
• Be the eyes and ears of your team, looking for promising academic developments that might be relevant to the vertical 
• Opportunities to become a permanent team member, and join as ML engineer after the research internship.