Salary for Senior-level / Expert Machine Learning Scientist during 2024

Salary details

The average senior-level / expert Machine Learning Scientist salary lies between USD 130,100 and USD 204,600 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: Dec. 22, 2024

Salary trend

Top 20 Job Tags for Senior-level / Expert Machine Learning Scientist roles

The three most common job tag items assiciated with senior-level / expert Machine Learning Scientist job listings are Machine Learning, Python and Engineering. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Machine Learning | 269 jobs Python | 220 jobs Engineering | 184 jobs Computer Science | 179 jobs Research | 171 jobs Statistics | 171 jobs Deep Learning | 160 jobs PyTorch | 160 jobs ML models | 158 jobs PhD | 141 jobs TensorFlow | 134 jobs SQL | 116 jobs Mathematics | 109 jobs LLMs | 94 jobs NLP | 83 jobs Scikit-learn | 80 jobs Testing | 78 jobs Architecture | 76 jobs Pipelines | 66 jobs Security | 64 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Machine Learning Scientist job listings are Career development, Health care and Wellness. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 245 jobs Health care | 165 jobs Wellness | 103 jobs Flex hours | 96 jobs Equity / stock options | 83 jobs Competitive pay | 82 jobs Insurance | 80 jobs Salary bonus | 77 jobs Parental leave | 66 jobs Conferences | 65 jobs Startup environment | 62 jobs Flex vacation | 60 jobs Team events | 53 jobs Medical leave | 41 jobs 401(k) matching | 28 jobs Home office stipend | 25 jobs Gear | 18 jobs Travel | 14 jobs Fitness / gym | 12 jobs Snacks / Drinks | 12 jobs

Salary Composition for Senior-Level/Expert Machine Learning Scientist

The salary for a Senior-Level/Expert Machine Learning Scientist typically comprises a base salary, 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:

• Region: In the United States, particularly in tech hubs like Silicon Valley, New York, or Seattle, the base salary might be higher compared to other regions. In Europe, cities like London or Berlin offer competitive salaries, but they might be slightly lower than in the U.S. due to different market dynamics.

• Industry: Tech companies, especially those in AI and software development, tend to offer higher salaries and more substantial equity packages. In contrast, industries like finance or healthcare might offer competitive base salaries but with different bonus structures.

• Company Size: Larger companies often provide more structured compensation packages, including significant bonuses and stock options. Startups might offer lower base salaries but compensate with equity, which could be lucrative if the company succeeds.

Steps to Increase Salary from This Position

To increase your salary further from a Senior-Level/Expert Machine Learning Scientist position, consider the following strategies:

• Specialize in High-Demand Areas: Focus on niche areas within AI/ML, such as deep learning, natural language processing, or reinforcement learning, which are in high demand and can command higher salaries.

• Leadership Roles: Transition into leadership roles such as AI/ML team lead or director positions, which typically offer higher compensation.

• Continuous Learning and Networking: Engage in continuous learning through advanced courses or certifications and expand your professional network to open up opportunities for higher-paying roles.

• Consulting or Freelancing: Consider consulting or freelancing, which can offer higher hourly rates and the flexibility to work with multiple clients.

Educational Requirements

Most Senior-Level/Expert Machine Learning Scientist 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 that involve research and development of new algorithms or technologies.

Helpful Certifications

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

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

These certifications can validate your skills and knowledge in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a Senior-Level/Expert Machine Learning Scientist is expected to have:

• 5-10 years of experience in data science or machine learning roles.
• Proven track record of deploying machine learning models in production.
• Experience leading projects or teams, which demonstrates leadership and project management skills.

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