Salary for Senior-level / Expert Machine Learning Researcher during 2023

Salary details

The average senior-level / expert Machine Learning Researcher salary lies between USD 73,100 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 Senior-level / Expert Machine Learning Researcher roles

The three most common job tag items assiciated with senior-level / expert 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 | 7 jobs Research | 7 jobs Python | 6 jobs NLP | 6 jobs Computer Science | 6 jobs Deep Learning | 5 jobs Mathematics | 5 jobs PyTorch | 4 jobs Engineering | 4 jobs Security | 4 jobs Pipelines | 4 jobs Computer Vision | 3 jobs TensorFlow | 3 jobs AWS | 3 jobs Architecture | 3 jobs GCP | 3 jobs PhD | 3 jobs R&D | 3 jobs Statistics | 3 jobs Physics | 3 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Machine Learning Researcher roles

The three most common job benefits and perks assiciated with senior-level / expert Machine Learning Researcher job listings are Career development, Flex hours and Health care. 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 | 7 jobs Flex hours | 3 jobs Health care | 3 jobs Equity / stock options | 2 jobs Parental leave | 2 jobs Flex vacation | 2 jobs Wellness | 2 jobs Competitive pay | 2 jobs Conferences | 2 jobs Medical leave | 2 jobs 401(k) matching | 1 jobs Travel | 1 jobs Startup environment | 1 jobs Transparency | 1 jobs Team events | 1 jobs Relocation support | 1 jobs Insurance | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Machine Learning Researcher 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 the United States, for instance, tech hubs like Silicon Valley often offer higher base salaries and substantial equity packages compared to other regions. In Europe, the base salary might be lower, but benefits such as healthcare and vacation days are more generous. In smaller startups, the base salary might be modest, but the potential for equity growth can be significant. Conversely, larger corporations might offer a more stable salary with structured bonuses and less equity.

Increasing Salary

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

• Specialization: Develop expertise in a niche area of machine learning that is in high demand, such as deep learning, natural language processing, or reinforcement learning.
• Leadership Roles: Transition into leadership or managerial roles, such as a team lead or director of machine learning, which often come with higher compensation.
• Consulting: Offer your expertise as a consultant, which can command higher hourly rates and provide additional income streams.
• Continuous Learning: Stay updated with the latest advancements in AI/ML and acquire new skills that can make you more valuable to your employer or in the job market.

Educational Requirements

Most Senior-level 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 roles focused on research and development. The advanced education provides a strong foundation in theoretical concepts and practical applications of machine learning algorithms and techniques.

Helpful Certificates

While formal education is crucial, certain certificates can enhance your profile:

• Certified Machine Learning Professional (CMLP)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate

These certifications demonstrate proficiency in specific tools and platforms, which can be advantageous in certain roles or industries.

Required Experience

Typically, a Senior-level Machine Learning Researcher is expected to have at least 5-10 years of experience in the field. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in leading projects or teams, publishing research papers, and contributing to open-source projects can also be beneficial.

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