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

Salary details

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

In the United States, the salary for a Senior-level or Expert Machine Learning Manager typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often constitutes the largest portion, ranging from 60% to 80% of the total compensation package. Performance bonuses can vary significantly, often between 10% to 20%, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, can make up the remaining 10% to 20%, and this is more prevalent in larger tech companies or startups. The composition can vary by region, with tech hubs like Silicon Valley offering higher equity components, while regions with a lower cost of living might offer a higher base salary. Industry also plays a role; for instance, finance and healthcare sectors might offer higher bonuses compared to academia or non-profit sectors.

Increasing Salary Further

To increase your salary beyond the median for this role, consider pursuing opportunities that offer higher equity stakes, such as joining a startup with high growth potential. Additionally, expanding your expertise into emerging areas of AI/ML, such as generative AI or AI ethics, can make you more valuable. Networking within industry-specific conferences and forums can also open doors to higher-paying opportunities. Pursuing an executive role, such as a Chief AI Officer, or transitioning into a consultancy role where you can leverage your expertise across multiple organizations, can also lead to higher compensation.

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, or Statistics. A Ph.D. is often preferred, especially in research-intensive roles or companies that prioritize cutting-edge innovation. The educational background should include a strong foundation in mathematics, statistics, and computer science, with specialized coursework in machine learning, artificial intelligence, and data analysis.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile. Certifications such as the Certified Machine Learning Professional (CMLP), TensorFlow Developer Certificate, or AWS Certified Machine Learning – Specialty can demonstrate your technical proficiency and commitment to staying current in the field. Additionally, leadership and project management certifications, like PMP or Certified ScrumMaster, can be beneficial for managerial roles.

Required Experience

Typically, a Senior-level Machine Learning Manager is expected to have at least 8-10 years of experience in the field of AI/ML, with a significant portion of that time spent in leadership or managerial roles. Experience should include leading teams, managing projects, and delivering successful AI/ML solutions. A proven track record of innovation, problem-solving, and strategic thinking is crucial. Experience in a specific industry, such as finance, healthcare, or technology, can also be advantageous.

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