Machine Learning Manager Salary in United States during 2024

Salary details

The average Machine Learning Manager salary lies between USD 160,200 and USD 298,800 in the United States. 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.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 24, 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 | 33 jobs Engineering | 30 jobs Computer Science | 25 jobs Research | 20 jobs ML models | 19 jobs Python | 14 jobs AWS | 14 jobs Generative AI | 14 jobs Architecture | 12 jobs LLMs | 12 jobs Deep Learning | 10 jobs NLP | 10 jobs PhD | 10 jobs Statistics | 9 jobs Security | 8 jobs Testing | 8 jobs GCP | 8 jobs SQL | 7 jobs Classification | 7 jobs PyTorch | 6 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 | 30 jobs Equity / stock options | 16 jobs Health care | 14 jobs Startup environment | 11 jobs Team events | 10 jobs Flex hours | 6 jobs Conferences | 6 jobs Wellness | 5 jobs Insurance | 5 jobs Salary bonus | 5 jobs Flex vacation | 4 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 for a Machine Learning Manager

The salary for a Machine Learning Manager in the United States typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is often the largest component, accounting for approximately 70-80% of the total compensation package. Performance bonuses can vary significantly, ranging from 10-20% of the base salary, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, can be a significant part of the package, particularly in larger tech firms or startups, where it might constitute 10-20% of the total compensation. The composition can vary by region, with tech hubs like Silicon Valley offering higher equity components, and by industry, with finance and healthcare often providing higher base salaries. Company size also plays a role, with larger companies typically offering more comprehensive bonus and equity packages.

Steps to Increase Salary from This Position

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

• Expand Your Skill Set: Acquire advanced skills in emerging AI technologies, such as deep learning, natural language processing, or reinforcement learning, which can make you more valuable to your organization.
• Pursue Leadership Roles: Aim for higher-level positions such as Director of Machine Learning or VP of Data Science, which come with increased responsibilities and higher pay.
• Negotiate Effectively: Leverage your achievements and market research to negotiate better compensation during performance reviews or when offered a new position.
• Network and Build Industry Connections: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities and trends.
• Consider Relocation: If feasible, relocating to a region with a higher cost of living and demand for AI talent, such as the Bay Area or New York City, can lead to higher salaries.

Educational Requirements

Most Machine Learning Manager positions require at least a bachelor's degree in a relevant field such as computer science, data science, or engineering. However, a master's degree or Ph.D. is often preferred, especially in larger companies or for more senior roles. Advanced degrees provide a deeper understanding of machine learning algorithms, statistical methods, and data analysis, which are crucial for managing complex AI projects.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise in machine learning and data science. Some valuable certifications include:

• Certified Machine Learning Professional (CMLP)
• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Data Science Council of America (DASCA) Senior Data Scientist

These certifications can help validate your skills and knowledge, making you a more competitive candidate for higher-level positions.

Required Experience

Typically, a Machine Learning Manager is expected to have 5-10 years of experience in the field of AI, machine learning, or data science. This experience should include hands-on work with machine learning models, data analysis, and software development. Additionally, managerial experience, such as leading a team of data scientists or machine learning engineers, is crucial for this role. Experience in project management and strategic planning is also highly valued.

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