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

Salary details

The average senior-level / expert Machine Learning Architect salary lies between USD 152,000 and USD 224,100 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. 22, 2024

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

The three most common job tag items assiciated with senior-level / expert Machine Learning Architect job listings are Machine Learning, Engineering and Python. 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 | 59 jobs Engineering | 50 jobs Python | 46 jobs ML models | 44 jobs TensorFlow | 40 jobs PyTorch | 40 jobs MLOps | 36 jobs SQL | 35 jobs AWS | 35 jobs SageMaker | 33 jobs Athena | 33 jobs DynamoDB | 33 jobs Terraform | 33 jobs CI/CD | 33 jobs CloudFormation | 33 jobs PySpark | 31 jobs Architecture | 22 jobs Streaming | 22 jobs Security | 21 jobs Model training | 20 jobs

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

The three most common job benefits and perks assiciated with senior-level / expert Machine Learning Architect job listings are Career development, Flex vacation and Competitive pay. 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 | 57 jobs Flex vacation | 34 jobs Competitive pay | 31 jobs Flex hours | 27 jobs Equity / stock options | 19 jobs Salary bonus | 19 jobs Health care | 17 jobs Gear | 12 jobs Insurance | 12 jobs Home office stipend | 12 jobs Startup environment | 7 jobs 401(k) matching | 5 jobs Wellness | 5 jobs Flexible spending account | 5 jobs Parental leave | 4 jobs Conferences | 4 jobs Team events | 3 jobs Medical leave | 3 jobs Unlimited paid time off | 3 jobs Relocation support | 2 jobs

Salary Composition

The salary for a Senior-level or Expert Machine Learning Architect 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 composition can vary significantly depending on the region, industry, and company size.

• Region: In the United States, for instance, tech hubs like Silicon Valley or New York City often offer higher base salaries and more substantial equity packages compared to other regions. In Europe, cities like London and Berlin are known for competitive salaries, though they might offer less in terms of equity compared to the U.S.

• Industry: Industries such as finance, healthcare, and technology tend to offer higher compensation packages. In finance, bonuses can be a significant part of the total compensation, sometimes equaling or exceeding the base salary.

• Company Size: Larger companies often provide more structured compensation packages with a mix of salary, bonuses, and stock options. Startups might offer lower base salaries but compensate with significant equity stakes.

Increasing Salary Further

To increase your salary beyond the median of USD 171,000, consider the following strategies:

• Specialization: Develop expertise in niche areas of AI/ML, such as deep learning, natural language processing, or reinforcement learning, which are in high demand.

• Leadership Roles: Transition into leadership or managerial roles, such as Head of AI or Chief Data Scientist, which typically come with higher compensation.

• Consulting: Consider consulting roles or freelance opportunities, which can offer higher hourly rates and the flexibility to work with multiple clients.

• Continuous Learning: Stay updated with the latest advancements in AI/ML and acquire new skills that are in demand, such as AI ethics or AI for edge computing.

Educational Requirements

Most Senior-level Machine Learning Architect positions require at least a master's degree in a relevant field such as Computer Science, Data Science, or Electrical Engineering. A Ph.D. is often preferred, especially for roles that involve research and development of new algorithms or technologies.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile 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 can validate your skills in specific platforms and tools, making you more attractive to potential employers.

Required Experience

Typically, a Senior-level Machine Learning Architect is expected to have at least 7-10 years of experience in the field. This experience should include:

• Hands-on experience with machine learning frameworks and tools such as TensorFlow, PyTorch, and Scikit-learn.
• Proven track record of deploying machine learning models in production environments.
• Experience in leading teams and projects, with a strong understanding of software development life cycles.

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