Machine Learning Researcher Salary in 2023

Salary details

The average Machine Learning Researcher salary lies between USD 93,300 and USD 190,000 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.

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

Last updated: Nov. 17, 2024

Salary trend

Top 20 Job Tags for Machine Learning Researcher roles

The three most common job tag items assiciated with Machine Learning Researcher job listings are Machine Learning, Research and Python. 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:

Machine Learning | 20 jobs Research | 20 jobs Python | 16 jobs Computer Science | 16 jobs Deep Learning | 13 jobs Engineering | 13 jobs PyTorch | 12 jobs Computer Vision | 11 jobs NLP | 9 jobs TensorFlow | 9 jobs Security | 9 jobs Statistics | 8 jobs Mathematics | 8 jobs AWS | 7 jobs Architecture | 7 jobs R | 6 jobs Pipelines | 6 jobs R&D | 6 jobs Reinforcement Learning | 6 jobs GCP | 5 jobs

Top 20 Job Perks/Benefits for Machine Learning Researcher roles

The three most common job benefits and perks assiciated with Machine Learning Researcher job listings are Career development, Conferences 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:

Career development | 19 jobs Conferences | 8 jobs Competitive pay | 7 jobs Equity / stock options | 6 jobs Flex hours | 6 jobs Flex vacation | 6 jobs Health care | 6 jobs Insurance | 5 jobs Wellness | 4 jobs Startup environment | 4 jobs 401(k) matching | 2 jobs Parental leave | 2 jobs Transparency | 2 jobs Team events | 2 jobs Medical leave | 2 jobs Home office stipend | 2 jobs Travel | 1 jobs Gear | 1 jobs Relocation support | 1 jobs Salary bonus | 1 jobs

Salary Composition

The salary for a Machine Learning Researcher typically comprises a base salary, bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is the fixed component and usually forms the largest part 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, equity or stock options are common, providing long-term incentives. In contrast, companies in regions with a lower cost of living might offer a higher percentage of the total compensation as a base salary. Larger companies often provide more comprehensive benefits packages, including health insurance, retirement plans, and other perks, which can add significant value to the overall compensation.

Increasing Salary

To increase your salary from a Machine Learning Researcher position, consider the following strategies:

• Specialization: Develop expertise in a niche area of machine learning, such as deep learning, natural language processing, or computer vision, which can make you more valuable to employers.
• Leadership Roles: Transition into roles that involve leading teams or projects, such as a Machine Learning Lead or Manager, which typically come with higher pay.
• Continuous Learning: Stay updated with the latest advancements in AI/ML through courses, workshops, and conferences. This not only enhances your skills but also makes you more competitive in salary negotiations.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Negotiation Skills: Improve your negotiation skills to better advocate for higher pay during job offers or performance reviews.

Educational Requirements

Most Machine Learning Researcher positions require at least a master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Mathematics. A Ph.D. is often preferred, especially for research-intensive roles, as it demonstrates a deep understanding of machine learning concepts and the ability to conduct independent research. Coursework in machine learning, artificial intelligence, data mining, and statistical analysis is highly beneficial.

Helpful Certificates

While not always required, certain certifications can enhance your credentials and demonstrate your commitment to the field:

• TensorFlow Developer Certificate: Validates your ability to build and train machine learning models using TensorFlow.
• AWS Certified Machine Learning – Specialty: Demonstrates expertise in using AWS services to create, train, and deploy machine learning models.
• Microsoft Certified: Azure AI Engineer Associate: Shows proficiency in using Azure AI services to build and integrate AI solutions.
• Google Professional Machine Learning Engineer: Certifies your ability to design, build, and productionize machine learning models on Google Cloud.

Required Experience

Typically, employers look for candidates with 3-5 years of experience in machine learning or data science roles. Experience in developing and deploying machine learning models, working with large datasets, and using machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn is crucial. Experience in a specific industry, such as healthcare, finance, or e-commerce, can also be advantageous.

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