Deep Learning Engineer Salary in United States during 2023

💰 The median Deep Learning Engineer Salary in United States during 2023 is USD 216,890

✏️ This salary info is based on 8 individual salaries reported during 2023

Salary details

The average Deep Learning Engineer salary lies between USD 120,000 and USD 283,780 in the United States. 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: all levels

Region: United States

Salary year: 2023

Sample size: 8

Top 10%: $ 331,640

Top 25%: $ 283,780

Median: $ 216,890

Bottom 25%: $ 120,000

Bottom 10%: $ 100,000

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 24, 2024

Top 20 Job Tags for Deep Learning Engineer roles

The three most common job tag items assiciated with Deep Learning Engineer job listings are Deep Learning, Research and Machine Learning. 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 Deep Learning Engineer roles

The three most common job benefits and perks assiciated with Deep Learning Engineer job listings are Career development, Equity / stock options 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 for Deep Learning Engineers

The salary for a Deep Learning Engineer in the United States typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and often constitutes the majority of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech hubs like Silicon Valley, bonuses and stock options can form a substantial part of the compensation, especially in larger tech companies or startups with high growth potential. In contrast, companies in regions with a lower cost of living or in industries like academia or non-profits may offer lower bonuses and fewer stock options.

Steps to Increase Salary

To increase your salary from the position of a Deep Learning Engineer, consider the following strategies:

Specialize in Niche Areas: Developing expertise in niche areas of deep learning, such as reinforcement learning or natural language processing, can make you more valuable.
Pursue Leadership Roles: Transitioning into roles like a team lead or manager can lead to higher compensation.
Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML to enhance your skill set.
Network and Build a Personal Brand: Engage with the AI/ML community through conferences, publications, or online platforms to increase your visibility and opportunities.
Negotiate Offers: When switching jobs, negotiate your salary based on market research and your unique skills and contributions.

Educational Requirements

Most Deep Learning Engineer positions require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles involving research or advanced algorithm development. These advanced degrees provide a deeper understanding of machine learning theories and practices, which are crucial for developing innovative solutions.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:

TensorFlow Developer Certificate: Validates your ability to build and train neural network models using TensorFlow.
AWS Certified Machine Learning – Specialty: Demonstrates your skills in designing, implementing, and maintaining machine learning solutions on AWS.
Microsoft Certified: Azure AI Engineer Associate: Shows proficiency in using Azure AI services to build and integrate AI solutions.

Experience Requirements

Typically, employers look for candidates with at least 2-5 years of experience in machine learning or data science roles. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras is crucial. Additionally, hands-on experience with data preprocessing, model training, and deployment in production environments is highly valued.

Related salaries

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

Deep Learning Engineer @ $ 293,583 (global) - Senior-level / Expert Details

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