Machine Learning Manager Salary in 2024

Salary details

The average Machine Learning Manager salary lies between USD 160,200 and USD 298,800 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: Dec. 15, 2024

Top 20 Job Tags for Machine Learning Manager roles

The three most common job tag items assiciated with 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 | 36 jobs Engineering | 32 jobs Computer Science | 27 jobs Research | 23 jobs ML models | 21 jobs Python | 16 jobs AWS | 15 jobs Generative AI | 15 jobs LLMs | 13 jobs Architecture | 12 jobs PhD | 12 jobs NLP | 11 jobs Statistics | 11 jobs Deep Learning | 10 jobs PyTorch | 8 jobs SQL | 8 jobs Security | 8 jobs Testing | 8 jobs GCP | 8 jobs Azure | 7 jobs

Top 20 Job Perks/Benefits for Machine Learning Manager roles

The three most common job benefits and perks assiciated with 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 | 33 jobs Equity / stock options | 17 jobs Health care | 15 jobs Startup environment | 12 jobs Team events | 10 jobs Flex hours | 7 jobs Conferences | 6 jobs Insurance | 6 jobs Flex vacation | 5 jobs Wellness | 5 jobs Salary bonus | 5 jobs Competitive pay | 4 jobs Relocation support | 4 jobs Fitness / gym | 3 jobs Medical leave | 3 jobs 401(k) matching | 2 jobs Parental leave | 2 jobs Transparency | 2 jobs Gear | 1 jobs Signing bonus | 1 jobs

Salary Composition

The salary for a Machine Learning Manager typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The composition can vary significantly based on region, industry, and company size. In the United States, for instance, the base salary might constitute 70-80% of the total compensation, with bonuses and equity making up the rest. In tech hubs like Silicon Valley, equity can be a substantial part of the package. In contrast, in regions with a lower cost of living, the base salary might be a larger portion of the total compensation. Industries such as finance or healthcare might offer higher bonuses compared to academia or non-profits. Larger companies often provide more comprehensive benefits and equity options compared to startups, which might offer higher equity stakes but lower base salaries.

Increasing Salary

To increase your salary from a Machine Learning Manager position, consider the following strategies:

• Specialize in High-Demand Areas: Focus on emerging areas within AI/ML, such as deep learning, natural language processing, or AI ethics, which can command higher salaries.
• Pursue Leadership Roles: Aim for senior management or director-level positions, which typically offer higher compensation.
• Negotiate Equity and Bonuses: When joining a new company or during performance reviews, negotiate for higher equity stakes or performance bonuses.
• Expand Your Network: Engage with industry leaders and participate in conferences to increase your visibility and open up new opportunities.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML to enhance your value to the organization.

Educational Requirements

Most Machine Learning Manager positions require at least a bachelor's degree in computer science, data science, mathematics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles in research-intensive industries or companies. Advanced degrees provide a deeper understanding of complex algorithms and data structures, which are crucial for leading AI/ML projects.

Helpful Certifications

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

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

These certifications validate your skills in deploying machine learning models and managing AI projects, making you a more attractive candidate for higher-level positions.

Required Experience

Typically, a Machine Learning Manager is expected to have 5-10 years of experience in AI/ML roles. This includes hands-on experience with machine learning algorithms, data analysis, and software development. Experience in leading teams and managing projects is crucial, as the role involves overseeing the work of data scientists and engineers, setting project goals, and ensuring successful project delivery.

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