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

Salary details

The average senior-level / expert 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. 24, 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 in the United States typically comprises several components. The fixed base salary is the largest portion, often accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or tied to company success, usually make up 10-20% of the total salary. Additional remuneration might include stock options, especially in tech companies, which can vary significantly based on the company's size and success. In larger tech hubs like Silicon Valley or New York, the total compensation might be higher due to the cost of living and competitive market. In contrast, regions with a lower cost of living might offer a smaller total package but still maintain a competitive base salary.

Increasing Salary

To increase your salary beyond the median for this role, consider pursuing leadership opportunities that expand your responsibilities, such as leading larger teams or managing cross-functional projects. Specializing in high-demand areas like deep learning, natural language processing, or AI ethics can also make you more valuable. Networking within industry circles and attending conferences can open doors to higher-paying opportunities. Additionally, transitioning to a larger company or a startup with high growth potential can offer significant salary increases, especially if stock options are part of the package.

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 cutting-edge research or development of new algorithms. The educational background should include a strong foundation in mathematics, statistics, and computer programming.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile. Certificates from recognized institutions like the Certified Machine Learning Professional (CMLP) or the TensorFlow Developer Certificate can demonstrate your expertise. Additionally, completing specialized courses from platforms like Coursera, edX, or Udacity in machine learning, data science, or AI can be beneficial. Certifications in cloud platforms like AWS Certified Machine Learning or Google Cloud Professional Machine Learning Engineer are also valuable, given the increasing reliance on cloud-based solutions.

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 work with machine learning models, data analysis, and software development. Experience in leading projects, mentoring junior team members, and collaborating with cross-functional teams is also crucial. A proven track record of successful project delivery and innovation in machine learning applications is highly desirable.

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