AdyenChicago$177k-$230kjust now
PhilipsPosted 1mo ago
AI Imaging Data Scientist Intern at Philips scores 86 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Job Title
AI Imaging Data Scientist InternJob Description
Job title:
We need to hire one AI imaging data scientist to support data collection, data cleaning, AI algorithm training and analysis.
Your role:
Performs as specialized Imaging Data Scientist. Acts autonomous within established procedures and practices.
Develop solution to the specific problem, by new algorithms and/or significantly modify the existing, as needed.
Support imaging data collection, data cleaning and data annotation.
Support implementation the best tooling, algorithms, frameworks, languages, and technologies to maximize results, automate and scale as needed.
Ensure high imaging data integrity and data quality for model training, validation and deployment. Find and choose the optimal data sources and data features (variables).
Participates in full AI model development processes, working with broader autonomy and in collaboration mode with other team members. Work cross-functionally, effectively.
Discover ways to leverage the data to achieve business goals.
You're the right fit if:
Master/PhD in Computer Science or Biomedical Engineering is preferred.
How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
Indicate if this role is an office/field/onsite role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.
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Skills and AI tools this role asks for
Questions you could be asked
- How do you keep labeling instructions consistent across a large annotation team?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: AI Data Labeling. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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