RBC discusses career paths in machine learning (ML) research, focusing on the roles of research scientists and engineers.
Machine Learning (ML) is a branch of artificial intelligence focused on creating algorithms and models that can learn from data and make decisions without explicit programming or intervention from developers.
There’re key skills for the scientists/researches:
- mathematics,
- programming,
- collaboration,
- fluent English,
- article writing skills and communication with reviewers,
- proactivity and absence of an execution-only mindset,
- willingness to embrace uncertainty.
To start a career in ML, it typically takes 4 to 10 years, beginning with a bachelor's degree in computer science or a related field, followed by graduate studies. It's important to seek internships and participate in research projects early on. Choosing a research lab with strong global influence and a good mentor is crucial. Although the journey is long, ML research offers vast opportunities for growth, and with persistence, a beginner can eventually become a recognized expert in the field.
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