Machine Learning Engineer
Griffin Global Systems
Long Island City, NY · Posted October 20, 2026
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Data & Analytics jobs in the rankings
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 60 open machine learning engineer listings that state pay, the middle half runs $174,000 to $266,000 and the median is $210,500.
Listed pay is what employers advertise, not what people are paid.
Machine Learning Engineer salaries by state · Check your own pay
How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
Required experience & education:
Master's or Ph.D. in a related field
4+ years of experience as a Data Scientist
4+ years experience developing and deploying predictive ML models.
Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn.
Proficiency in data manipulation, feature engineering, and model evaluation.
ML / Predictive Modeling Experience building predictive models (regression, classification, clustering, forecasting).
Experience with SQL
Experience working with Cloud Platforms (GCP, AWS, Azure)
Experience working with Data Warehouses (BigQuery, Snowflake, Redshift)
Working experience with LLMs / AI APIs
Experience using Git / GitHub