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The average salary for remote TensorFlow jobs is $157,693 per year, ranging from $121,897 to $221,818 depending on experience. This is based on data from 383 job openings.
| Experience | Roles analysed | Avg. salary |
|---|---|---|
| Junior TensorFlow engineer | 33 | $121,897 |
| Mid-level TensorFlow engineer | 90 | $129,876 |
| Senior TensorFlow engineer | 180 | $162,573 |
| Lead TensorFlow engineer | 35 | $173,689 |
| Staff TensorFlow engineer | 27 | $198,151 |
| Principal TensorFlow engineer | 18 | $221,818 |
The top skills employers look for in TensorFlow jobs are Machine Learning, PyTorch, Python, Large Language Models and AWS. Below you'll find the full breakdown of the 10 most in-demand related skills. This is based on data from 290 job openings.
The most sought-after experience for TensorFlow jobs is Senior (41% of openings), and 9% are junior friendly.
The most common employment types for TensorFlow jobs are Full-time (90%) and Contract (6%).
51% of TensorFlow jobs require a degree, while 49% do not.
Companies hire remote TensorFlow engineers in 115 regions and countries — with United States leading in open roles.