What does a Machine Learning Engineer do?
From 4,139 current Machine Learning Engineer postings that list skills.
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What the job involves
- Design, develop, and deploy machine learning models and algorithms.
- Build and maintain data pipelines for model training and evaluation.
- Create and run experiments to test and improve model performance.
- Collaborate with cross-functional teams to solve business problems.
- Monitor and maintain models in production to ensure reliability.
- Research and apply new machine learning techniques and tools.
- Write clean, efficient, and maintainable code for ML systems.
- Document models, experiments, and technical decisions clearly.
Summed up from 30 recent Machine Learning Engineer job postings.
Skills employers ask for
- Python 6 in 10 postings
- AI & ML 5 in 10 postings
- Large Language Models 3 in 10 postings
- MLOps 2 in 10 postings
- Machine Learning Frameworks 2 in 10 postings
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Out of 4,139 postings that list skills.
Certifications and licenses
- Security Clearance 1 in 40 postings
What employers name in their postings. Rules differ by state.
Experience asked for
- No experience needed 1 in 60 postings
- 1 to 2 years 1 in 10 postings
- 3 to 4 years 2 in 10 postings
- 5 years or more 6 in 10 postings
Typical ask: 5 years.
Education asked for
- Bachelor's degree 7 in 10 postings
- Master's degree 2 in 10 postings
- Doctorate 1 in 20 postings
Among postings that say.
Is this role in demand?
1,764 open Machine Learning Engineer jobs across the US right now.
Most openings
- California718 open
- New York247 open
- Washington112 open
- Virginia111 open
- Texas77 open
Typical pay $201,300 a year (most between $167k and $242k). See the full salary breakdown