ML/AI Engineer to AI/ML Research Scientist

Summary: 2 of the 6 core skills listed for AI/ML Research Scientist carry over directly from ML/AI Engineer, and 1 more build on related experience. The US median salary changes by +9% ($165K → $180K). Difficulty: Moderate, typically around 6 months of focused upskilling.

The two roles

ML/AI Engineer: Build and deploy machine learning models into production systems.

AI/ML Research Scientist: Conduct research to advance artificial intelligence and machine learning. Growth outlook +35%; AI-resistant. Typical education: doctorate. Typical experience: PhD + 2-5 years.

Skills that carry over

• Deep Learning
• Python

Builds on related experience

• PyTorch — builds on Machine Learning

Skills to learn for AI/ML Research Scientist

• Research
• Mathematics
• Publishing

Salary comparison (median, estimated)

Salary figures are estimates benchmarked against public compensation data — see methodology.

Next steps

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Related

ML/AI Engineer career guide | AI/ML Research Scientist career guide

Other transitions to consider

• ML/AI Engineer to Data Scientist — 2 of the core skills carry over
• ML/AI Engineer to Backend Developer — 5 of the core skills carry over
• ML/AI Engineer to Quantitative Analyst (Quant) — 4 of the core skills carry over
• ML/AI Engineer to Data Engineer — 2 of the core skills carry over
• Data Scientist to AI/ML Research Scientist — 3 of the core skills carry over
• Quantitative Analyst (Quant) to AI/ML Research Scientist — 3 of the core skills carry over
• Computer Vision Engineer to AI/ML Research Scientist — 2 of the core skills carry over
• NLP Engineer to AI/ML Research Scientist — 2 of the core skills carry over