Salary for Executive-level / Director Director of Machine Learning during 2024

Salary details

The average executive-level / director Director of Machine Learning salary lies between USD 174,100 and USD 205,800 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 Executive-level / Director Director of Machine Learning roles

The three most common job tag items assiciated with executive-level / director Director of Machine Learning job listings are Machine Learning, Engineering and Research. 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 | 16 jobs Engineering | 13 jobs Research | 11 jobs Computer Science | 11 jobs ML models | 9 jobs Python | 8 jobs Generative AI | 8 jobs Deep Learning | 7 jobs PyTorch | 7 jobs AWS | 7 jobs Statistics | 7 jobs NLP | 6 jobs TensorFlow | 6 jobs Architecture | 6 jobs PhD | 6 jobs R | 4 jobs Big Data | 4 jobs Scikit-learn | 4 jobs Spark | 4 jobs Airflow | 4 jobs

Top 20 Job Perks/Benefits for Executive-level / Director Director of Machine Learning roles

The three most common job benefits and perks assiciated with executive-level / director Director of Machine Learning job listings are Career development, Health care and Equity / stock options. 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 | 14 jobs Health care | 11 jobs Equity / stock options | 10 jobs Competitive pay | 8 jobs Wellness | 7 jobs Insurance | 7 jobs Flex hours | 6 jobs Salary bonus | 6 jobs Flex vacation | 5 jobs Startup environment | 4 jobs 401(k) matching | 3 jobs Parental leave | 3 jobs Transparency | 2 jobs Medical leave | 2 jobs Gear | 1 jobs Team events | 1 jobs Home office stipend | 1 jobs Flexible spending account | 1 jobs Unlimited paid time off | 1 jobs

Salary Composition

The salary for an Executive-level or Director of Machine Learning position typically comprises a mix of base salary, bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often forms the largest portion, accounting for 60-80% of the total compensation package. Bonuses, which can be performance-based or company-wide, might contribute 10-20%, while equity or stock options can make up the remaining 10-20%. The exact composition can vary significantly depending on the region, industry, and company size. For instance, tech giants in Silicon Valley might offer substantial equity packages, whereas companies in other regions might focus more on cash bonuses. Similarly, larger companies may provide more comprehensive benefits and bonuses compared to smaller startups.

Increasing Salary

To increase your salary from this position, consider the following strategies:

• Expand Your Skill Set: Continuously update your technical and leadership skills. Specializing in emerging areas like AI ethics, explainable AI, or AI for sustainability can make you more valuable.
• Network and Build Relationships: Engage with industry leaders and participate in conferences and seminars. Networking can open doors to higher-paying opportunities.
• Seek Leadership Roles: Aim for roles with greater responsibility, such as VP of AI or Chief AI Officer, which typically come with higher compensation.
• Negotiate Effectively: When offered a new position or during performance reviews, negotiate for higher pay, better bonuses, or more equity.

Educational Requirements

Most Director-level positions in AI/ML require at least a master's degree in a relevant field such as Computer Science, Data Science, or Artificial Intelligence. A Ph.D. can be advantageous, especially for roles that involve significant research components. Additionally, a strong foundation in mathematics, statistics, and programming is essential. Some executives also hold an MBA, which can be beneficial for understanding business strategy and management.

Helpful Certifications

While not always mandatory, certain certifications 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 a commitment to the field and a deep understanding of specific tools and platforms.

Required Experience

Typically, a Director of Machine Learning should have 10-15 years of experience in the tech industry, with at least 5 years in a leadership role. Experience should include managing teams, overseeing large-scale projects, and a proven track record of implementing successful AI/ML solutions. Experience in a specific industry, such as finance, healthcare, or e-commerce, can also be beneficial, depending on the company's focus.

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