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

Salary details

The average senior-level / expert Machine Learning Scientist salary lies between USD 145,000 and USD 210,398 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 Scientist roles

The three most common job tag items assiciated with senior-level / expert Machine Learning Scientist job listings are Machine Learning, Python and Computer Science. 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 | 115 jobs Python | 105 jobs Computer Science | 97 jobs Engineering | 87 jobs Research | 80 jobs Statistics | 79 jobs PyTorch | 72 jobs Deep Learning | 69 jobs ML models | 68 jobs TensorFlow | 64 jobs PhD | 59 jobs Mathematics | 58 jobs SQL | 50 jobs Scikit-learn | 45 jobs NLP | 41 jobs Testing | 39 jobs Architecture | 38 jobs R | 37 jobs Pipelines | 36 jobs AWS | 34 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 Startup environment. 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 | 99 jobs Health care | 52 jobs Startup environment | 47 jobs Equity / stock options | 40 jobs Flex hours | 38 jobs Salary bonus | 35 jobs Parental leave | 33 jobs Conferences | 33 jobs Flex vacation | 32 jobs Competitive pay | 30 jobs Wellness | 29 jobs Team events | 22 jobs Insurance | 22 jobs Medical leave | 18 jobs Gear | 16 jobs Home office stipend | 13 jobs 401(k) matching | 12 jobs Snacks / Drinks | 7 jobs Yoga | 5 jobs Flexible spending account | 3 jobs

Salary Composition

The salary for a Senior-level or Expert Machine Learning Scientist 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.

• Region: In the United States, particularly in tech hubs like Silicon Valley, the base salary might be higher compared to other regions. However, the cost of living is also higher, which can affect the overall compensation package.
• Industry: In finance or healthcare, bonuses might be more substantial due to the high stakes and profitability of these sectors. Conversely, in academia or non-profit sectors, the base salary might be lower, with fewer bonuses.
• Company Size: Larger tech companies often offer competitive base salaries and significant stock options, while startups might offer lower base salaries but compensate with equity and potential for growth.

Increasing Salary

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

• Specialization: Develop expertise in a niche area of machine learning, such as deep learning, natural language processing, or reinforcement learning. Specialized skills are often in high demand and can command higher salaries.
• Leadership Roles: Transition into leadership or managerial roles, such as a Machine Learning Team Lead or Director of AI, which typically offer higher compensation.
• Continuous Learning: Stay updated with the latest advancements in AI/ML through courses, workshops, and conferences. This not only enhances your skills but also increases your value to employers.
• Networking: Engage with professional networks and communities. Opportunities often arise through connections, and being well-connected can lead to higher-paying job offers.

Educational Requirements

Most Senior-level 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 models. The educational background should include a strong foundation in machine learning, data analysis, and programming.

Helpful Certificates

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

• 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, making you a more attractive candidate to potential employers.

Required Experience

Typically, a Senior-level Machine Learning Scientist is expected to have at least 5-10 years of experience in the field. This experience should include:

• Hands-on experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn).
• Proven track record of deploying machine learning models in production environments.
• Experience in leading projects or teams, showcasing your ability to manage and deliver complex solutions.

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