Salary for Senior-level / Expert Deep Learning Engineer during 2023

💰 The median Salary for Senior-level / Expert Deep Learning Engineer during 2023 is USD 293,583

✏️ This salary info is based on 6 individual salaries reported during 2023

Salary details

The average senior-level / expert Deep Learning Engineer salary lies between USD 283,780 and USD 331,640 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Job title: Deep Learning Engineer

Experience: Senior-level / Expert

Region: global/worldwide

Salary year: 2023

Sample size: 6

Top 10%: $ 331,640

Top 25%: $ 331,640

Median: $ 293,583

Bottom 25%: $ 283,780

Bottom 10%: $ 100,017

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 10, 2024

Top 20 Job Tags for Senior-level / Expert Deep Learning Engineer roles

The three most common job tag items assiciated with senior-level / expert Deep Learning Engineer job listings are Deep Learning, Research and PyTorch. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:

Top 20 Job Perks/Benefits for Senior-level / Expert Deep Learning Engineer roles

The three most common job benefits and perks assiciated with senior-level / expert Deep Learning Engineer job listings are Equity / stock options, Career development and Competitive pay. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:

Salary Composition

The salary for a Senior-level or Expert Deep Learning Engineer typically comprises several components: a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The composition can vary significantly depending on the region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but bonuses and stock options can also form a substantial part of the total compensation package. In contrast, companies in regions with a lower cost of living might offer a smaller base salary but compensate with other benefits. Industries such as finance or healthcare might offer higher bonuses compared to academia or startups, where equity might be more prevalent.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

Specialization: Deepen your expertise in a niche area of deep learning, such as reinforcement learning or natural language processing, which can make you indispensable.
Leadership Roles: Transition into roles that combine technical expertise with leadership, such as a Lead AI Engineer or AI Director.
Consulting: Offer your expertise as a consultant, which can command higher hourly rates.
Continuous Learning: Stay updated with the latest advancements in AI/ML and acquire new skills that are in demand.
Networking: Build a strong professional network to learn about high-paying opportunities and negotiate better offers.

Educational Requirements

Most Senior-level Deep Learning Engineer positions require at least a Master's degree in Computer Science, Data Science, Electrical Engineering, or a related field. A Ph.D. is often preferred, especially for roles that involve research and development of new algorithms. The educational background should include a strong foundation in mathematics, statistics, and computer programming.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile:

TensorFlow Developer Certificate: Demonstrates proficiency in using TensorFlow for deep learning tasks.
AWS Certified Machine Learning – Specialty: Validates expertise in building, training, tuning, and deploying machine learning models on AWS.
Microsoft Certified: Azure AI Engineer Associate: Shows capability in using Azure services for AI solutions.
Google Professional Machine Learning Engineer: Certifies skills in designing, building, and productionizing ML models on Google Cloud.

Required Experience

Typically, a Senior-level Deep Learning Engineer is expected to have 5-10 years of experience in AI/ML, with a significant portion dedicated to deep learning. Experience should include working on large-scale projects, leading teams, and a proven track record of deploying deep learning models in production environments. Experience in specific industries, such as autonomous vehicles or healthcare, can also be advantageous.

Related salaries

Deep Learning Engineer @ $ 216,890 (global) Details

Deep Learning Engineer @ $ 216,890 (United States) Details

Want to contribute?

📝 Submit your salary info

Enter your own salary data for the current or past work year. It's quite simple and doesn't take more than a minute to fill out.

Go to salary survey

📢 Share our salary survey

Share our "in-less-than-a-minute survey" with others working in the field of AI, ML, Data Science. The more data we have the better for everyone.

💾 Download the data

All collected information will be updated into a public dataset regularly and provided as a download free for anyone to use.

Go to download page

🚀 Search for jobs & talent

If you're thinking about a career change or want to hire fresh talent quickly check out the jobs page.

Go to frontpage

About this project

We collect salary information anonymously from professionals and employers all over the world and make it publicly available for anyone to use, share and play around with.

Our goal is to have open salary data for everyone. So newbies, experienced pros, hiring managers, recruiters and also startup founders or people wanting to switch careers can make better decisions.

Add your salary info Download all salary data