Starting Salary
⌀ 52.207 €
Employees in the field of Deep Learning earn an average of 52.762€ per year in Germany. This corresponds to a gross monthly salary of 4.397€. The salary for professionals in the field of Deep Learning ranges between 52.206€ and 66.156€.
Nationwide, there are
13 Deep Learning jobs on jobvector.de.Average Salary
52.762 € gross/YearGross salary/Year
Gross salary/Year
The starting salary in the field of Deep Learning is on average 52.207 € gross per year. This corresponds to a monthly salary of 4.351 € gross.
Your chances of a higher salary increase with your work experience, as you can often take on more responsibility.
With several years of work experience in the field of Deep Learning, your average salary is 68.984 € gross per year.
Starting Salary
⌀ 52.207 €
With
Experience
⌀ 68.984 €
As a professional in the field of Deep Learning, you have numerous specialization opportunities and related fields, such as
machine learning , AI , TensorFlow ,for which you could also be qualified with your knowledge.
Ø Gehalt | Jobs | |
---|---|---|
machine learning | 55,051€ | Current jobs |
AI | 57,242€ | Current jobs |
TensorFlow | 62,047€ | Current jobs |
big data | 58,000€ | Current jobs |
Natural Language Processing | 63,024€ | Current jobs |
Python | 56,531€ | Current jobs |
Where do you earn the most in the field of Deep Learning? Currently, you earn the most in the field of Deep Learning in Coburg with an average salary of 72.500€ per year.
In general, the salary in the field of Deep Learning is usually higher in large cities than in small towns. Large cities and metropolises often offer higher salaries, although the cost of living is also higher.
In which city you can earn particularly high salaries in the field of Deep Learning, you will find out in this table:
There are several career factors that influence your salary in the field of Deep Learning. Average salary tends to increase with the size of the company you work for. In large corporations, salaries are often higher compared to start-ups and small companies. However, in smaller companies, you may have the opportunity to advance more quickly on the career ladder.
One of the key factors affecting your salary in the field of Deep Learning is your work experience. With each year on the job, you gain valuable knowledge and experience that become increasingly better compensated over time. In just a few years, you transition from a beginner to a young professional. After more than 10 years of experience, you can then be considered a professional. With increasing experience, you also have the opportunity to move into positions with personnel responsibility. A position with personnel responsibility is generally paid significantly better, and there are further factors influencing your salary here as well. For example, a department head with personnel responsibility for over 20 employees earns more than a group leader responsible for 5 employees.
Your educational qualification, the city, and the federal state where you work are also factors that influence your salary.
At jobvector, we attach great importance to always providing you with up-to-date and accurate salary information. Salaries in the Deep Learning sector have changed significantly over the last few years due to factors such as rising wage levels, inflation, new legal regulations, bonus payments and tax adjustments. It is therefore particularly important to us to present up-to-date data that gives you as an applicant a good and realistic basis for the next salary negotiation.
The salary information on jobvector is consistently kept up to date and is never more than three years old. This up-to-dateness guarantees you a precise and clearly structured overview of the salary structures in the Deep Learning sector, and effectively supports you in preparing for your salary negotiations.
The salary information presented here is based on salary data provided by employers in job postings as well as surveys of over 10,000 professionals in the STEM field conducted by jobvector.
These professionals bring a wealth of experience and expertise from various companies and positions, making the data a comprehensive and meaningful source for average values.
It is important to emphasize that these salary figures represent averages and cannot be directly attributed to individual job postings. However, they provide valuable guidance and insights into salary structures in the STEM field for both job seekers and employers.