Machine Learning Architect Salary in United States during 2024

Salary details

The average Machine Learning Architect salary lies between USD 127,350 and USD 287,100 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 Machine Learning Architect roles

The three most common job tag items assiciated with 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 | 57 jobs Engineering | 50 jobs Python | 44 jobs ML models | 43 jobs TensorFlow | 39 jobs PyTorch | 39 jobs AWS | 35 jobs MLOps | 35 jobs SQL | 34 jobs SageMaker | 33 jobs Athena | 33 jobs DynamoDB | 33 jobs Terraform | 33 jobs CI/CD | 33 jobs CloudFormation | 33 jobs PySpark | 31 jobs Streaming | 22 jobs Security | 21 jobs Architecture | 20 jobs Model training | 20 jobs

Top 20 Job Perks/Benefits for Machine Learning Architect roles

The three most common job benefits and perks assiciated with 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 | 55 jobs Flex vacation | 34 jobs Competitive pay | 31 jobs Flex hours | 27 jobs Salary bonus | 19 jobs Equity / stock options | 18 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 | 3 jobs Medical leave | 3 jobs Unlimited paid time off | 3 jobs Team events | 2 jobs Relocation support | 2 jobs

Salary Composition for a Machine Learning Architect

The salary for a Machine Learning Architect 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. Bonuses can vary significantly based on company performance and individual contributions, usually ranging from 10-20% of the base salary. Additional remuneration, such as stock options, can be a significant part of the package in larger tech firms or startups, potentially adding another 10-20% to the total compensation. The composition can vary by region, with tech hubs like Silicon Valley offering higher base salaries and equity options, while other regions might offer more balanced packages. Industry also plays a role; for instance, finance and healthcare sectors might offer higher bonuses, while tech companies might focus more on equity.

Steps to Increase Salary from a Machine Learning Architect Position

To increase your salary beyond the median for a Machine Learning Architect, consider the following strategies:

• Specialize in High-Demand Areas: Focus on niche areas within AI/ML, such as deep learning, natural language processing, or AI ethics, which are in high demand.
• Leadership Roles: Transition into leadership roles such as a Chief AI Officer or Head of AI/ML, which typically offer higher compensation.
• Consulting: Leverage your expertise to offer consulting services, either independently or through a firm, which can significantly increase your income.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML to remain competitive and justify salary increases.
• Networking: Build a strong professional network to learn about higher-paying opportunities and negotiate better offers.

Educational Requirements for a Machine Learning Architect

Most 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. The educational background should include a strong foundation in mathematics, statistics, and computer programming. Courses in machine learning, artificial intelligence, and data analysis are essential, and knowledge of software engineering principles is highly beneficial.

Helpful Certifications for a Machine Learning Architect

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

Experience Required for a Machine Learning Architect

Typically, a Machine Learning Architect is expected to have 5-10 years of experience in the field of AI/ML. This experience should include hands-on work with machine learning models, data analysis, and software development. Experience in leading projects, managing teams, and deploying machine learning solutions in production environments is highly valued. Additionally, experience in a specific industry, such as finance, healthcare, or technology, can be advantageous.

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