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The average salary for remote TensorFlow jobs is $164,135 per year, ranging from $126,199 to $224,716 depending on experience. This is based on data from 382 job openings.
| Experience | Roles analysed | Avg. salary |
|---|---|---|
| Junior TensorFlow engineer | 18 | $126,199 |
| Mid-level TensorFlow engineer | 104 | $137,483 |
| Senior TensorFlow engineer | 179 | $167,683 |
| Lead TensorFlow engineer | 31 | $170,313 |
| Staff TensorFlow engineer | 33 | $212,562 |
| Principal TensorFlow engineer | 17 | $224,716 |
The top skills employers look for in TensorFlow jobs are Machine Learning, Python, PyTorch, 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 266 job openings.
The most sought-after experience for TensorFlow jobs is Senior (45% of openings), and 6% are junior friendly.
The most common employment types for TensorFlow jobs are Full-time (87%) and Contract (7%).
47% of TensorFlow jobs require a degree, while 53% do not.
Companies hire remote TensorFlow engineers in 118 regions and countries — with United States leading in open roles.