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

Salary details

The average senior-level / expert Machine Learning Manager salary lies between USD 160,200 and USD 322,300 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

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

The three most common job tag items assiciated with senior-level / expert Machine Learning Manager job listings are Machine Learning, Engineering and Computer Science. 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 | 14 jobs Engineering | 12 jobs Computer Science | 11 jobs Research | 10 jobs ML models | 7 jobs Generative AI | 7 jobs NLP | 6 jobs AWS | 6 jobs CX | 5 jobs Azure | 5 jobs Deep Learning | 4 jobs GCP | 4 jobs Classification | 4 jobs PhD | 4 jobs Agile | 4 jobs LLMs | 4 jobs Python | 3 jobs Architecture | 3 jobs Pipelines | 3 jobs Privacy | 3 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Machine Learning Manager job listings are Career development, Equity / stock options and Health care. 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 | 13 jobs Equity / stock options | 7 jobs Health care | 6 jobs Conferences | 5 jobs Team events | 5 jobs Flex hours | 3 jobs Relocation support | 3 jobs Flex vacation | 2 jobs Startup environment | 2 jobs Insurance | 2 jobs Salary bonus | 1 jobs Flexible spending account | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Machine Learning Manager 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 base salary is often the largest portion, providing a stable income. Bonuses can vary significantly depending on the company's performance and individual achievements. In tech hubs like Silicon Valley, equity can be a substantial part of the compensation package, reflecting the company's growth potential. In contrast, companies in other regions or industries might offer smaller equity portions but compensate with higher base salaries or bonuses. 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 Further

To increase your salary beyond the median for this role, consider the following strategies:

• Specialization: Develop expertise in a niche area of AI/ML that is in high demand but has a limited supply of experts, such as deep learning, natural language processing, or AI ethics.
• Leadership Skills: Enhance your leadership and management skills, as these are crucial for higher-level positions. Consider taking courses or certifications in leadership and management.
• Networking: Build a strong professional network within the AI/ML community. Attend conferences, participate in forums, and engage with thought leaders to increase your visibility and opportunities.
• Publications and Speaking Engagements: Publish research papers or articles in reputable journals and speak at industry conferences to establish yourself as a thought leader.
• Transition to High-Paying Industries: Consider moving to industries known for higher compensation, such as finance, healthcare, or tech giants.

Educational Requirements

Most Senior-level Machine Learning Manager positions require at least a master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Electrical Engineering. A Ph.D. can be advantageous, especially for roles that involve significant research components or are within academia or research-focused organizations. Additionally, a strong foundation in mathematics, statistics, and computer programming is essential.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to continuous learning. Some valuable certifications include:

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

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 Machine Learning Manager is expected to have at least 8-10 years of experience in the field. This experience should include hands-on work with machine learning models, data analysis, and software development. Additionally, several years of experience in a managerial or leadership role are crucial, as this position involves overseeing teams, projects, and strategic decision-making.

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