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Real salary data from 10,000+ job postings. Clear requirements. No BS—just honest breakdowns.
Machine Learning Engineer
Build and deploy production ML systems
Required Skills
- Python (Advanced)Core language for ML development
- PyTorch / TensorFlowDeep learning frameworks
- AWS / GCP / AzureCloud platforms for deployment
- SQL & NoSQLData manipulation & storage
Typical Background
- Education: BS in CS/EngineeringMS helpful but not required
- Experience: 3-5 yearsSoftware engineering + ML
- Portfolio: 3-5 projectsGitHub with deployed models
Focus on production skills (deployment, monitoring, scaling) rather than just model training.
Salary data from 10,247 real job postings analyzed in 2025 · See methodology
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View All SalariesYour AI Learning Roadmap
Follow the path that's landed 500+ students $150K+ AI jobs. Choose your starting point.
Timeline: 10-12 months (15-20 hrs/week)
Starting from scratch. This assumes zero programming knowledge. It's longer, but builds a solid foundation.
Learn Python Basics
Get comfortable with programming fundamentals
- Python for Everybody (Coursera)
- CS50P (Harvard)
- Automate the Boring Stuff
Statistics & Math
Build the mathematical foundation for ML
- Khan Academy Statistics
- Linear Algebra (MIT)
- Calculus basics
Machine Learning Fundamentals
Start learning ML concepts and algorithms
- ML Specialization (Andrew Ng)
- Hands-On ML (book)
- Build 3 projects
Deep Learning & Specialization
Go deeper into neural networks and pick a focus
- Deep Learning Specialization
- Fast.ai
- Kaggle competitions
Portfolio & Job Prep
Polish projects, get certified, start applying
- Build portfolio website
- LeetCode for interviews
- Apply to 50+ jobs
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