Allen Institute For Artificial Intelligence Principal Machine Learning Engineer Salary

Principal Machine Learning Engineer Salary at Allen Institute For Artificial Intelligence BETA

How much does an Allen Institute For Artificial Intelligence Principal Machine Learning Engineer make?

As of March 2025, the average annual salary for a Principal Machine Learning Engineer at Allen Institute For Artificial Intelligence is $152,175, which translates to approximately $73 per hour. Salaries for Principal Machine Learning Engineer at Allen Institute For Artificial Intelligence typically range from $134,304 to $168,022, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

Allen Institute for Artificial Intelligence Overview

Website:
allenai.org
Size:
100 - 200 Employees
Revenue:
$10M - $50M
Industry:
Software & Networking

Allen Institute for Artificial Intelligence (A12) was founded in 2014 and headquartered in Seattle, Washington, is a scientific and engineering AI research company that conducting high-impact AI research and engineering.

See similar companies related to Allen Institute For Artificial Intelligence

What Skills Does a person Need at Allen Institute For Artificial Intelligence?

At Allen Institute For Artificial Intelligence, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. Machine Learning: Using mathematical models, data, and algorithms to help a computer learn without direct instruction.
  2. Data Science: Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems". Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science. Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge. In 2015, the American Statistical Association identified database management, statistics and machine learning, and distributed and parallel systems as the three emerging foundational professional communities.
  3. Algorithms: Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines.
  4. AWS: Amazon Web Services, Inc. is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.
  5. Python: Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.

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Check more jobs information at Allen Institute For Artificial Intelligence

Job Title Average Allen Institute For Artificial Intelligence Salary Hourly Rate
2 Controller $252,655 $121
3 Design Lead $126,206 $61
4 Product Designer $115,115 $55
5 Research Scientist $130,767 $63
6 Senior Software Engineer $123,366 $59
7 User Experience Researcher $76,489 $37
8 Chief Development Officer $190,394 $92
9 Help Desk Technician $58,014 $28
10 Lead Data Engineer $146,108 $70
11 Lead Software Engineer $144,048 $69
12 Postdoctoral Researcher $182,183 $88
13 Post-Doctoral Researcher $85,603 $41

Hourly Pay at Allen Institute For Artificial Intelligence

The average hourly pay at Allen Institute For Artificial Intelligence for a Principal Machine Learning Engineer is $73 per hour. The location, department, and job description all have an impact on the typical compensation for Allen Institute For Artificial Intelligence positions. The pay range and total remuneration for the job title are shown in the table below. Allen Institute For Artificial Intelligence may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $152,175 look to you?

FAQ about Salary and Jobs at Allen Institute For Artificial Intelligence

1. How much does Allen Institute For Artificial Intelligence pay per hour?
The average hourly pay is $73. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Allen Institute For Artificial Intelligence?
According to the data, the highest approximate salary is about $168,022 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Allen Institute For Artificial Intelligence?
According to the data, the lowest estimated salary is about $134,304 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.