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The average salary for remote TensorFlow jobs is $161,608 per year, ranging from $130,830 to $219,770 depending on experience. This is based on data from 397 job openings.
| Experience | Roles analysed | Avg. salary |
|---|---|---|
| Junior TensorFlow engineer | 23 | $130,830 |
| Mid-level TensorFlow engineer | 107 | $137,885 |
| Senior TensorFlow engineer | 183 | $164,857 |
| Lead TensorFlow engineer | 36 | $167,235 |
| Staff TensorFlow engineer | 32 | $209,055 |
| Principal TensorFlow engineer | 16 | $219,770 |
The top skills employers look for in TensorFlow jobs are Machine Learning, PyTorch, Python, AWS and Large Language Models. Below you'll find the full breakdown of the 10 most in-demand related skills. This is based on data from 265 job openings.
The most sought-after experience for TensorFlow jobs is Senior (43% of openings), and 8% are junior friendly.
The most common employment types for TensorFlow jobs are Full-time (88%) and Contract (6%).
53% of TensorFlow jobs require a degree, while 47% do not.
Companies hire remote TensorFlow engineers in 115 regions and countries — with United States leading in open roles.