Senior Machine Learning Engineer - Computer Vision
ValueLabs
San Diego, CA · Posted November 5, 2026
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Where San Diego, CA ranks
Where San Diego, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Cities hosting the most business conferences in the West Coast78 conferences · of 17
- #2Cities hosting the most human resources conferences6 conferences · of 10
- #3Best cities for life sciences and biotech jobs454 openings · of 41
- #3Best cities for aerospace and defense jobs377 openings · of 67
- #3Cities hosting the most legal services conferences7 conferences · of 17
- #3Cities hosting the most staffing & human capital conferences6 conferences · of 8
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)
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Pay compared with the market
This listing does not state pay. Across 76 open senior machine learning engineer listings that state pay, the middle half runs $195,000 to $256,000 and the median is $217,500.
Listed pay is what employers advertise, not what people are paid.
Senior 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
...Design, develop, train, evaluate, and deploy production-grade machine learning and deep learning models for computer vision applications... ...learning pipelines covering data ingestion, preprocessing, feature engineering, model training, evaluation, deployment, monitoring, and...