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Before discussing the salary of a machine learning engineer in the United States, it is important to understand the field’s scope in the country. According to U.S. News, reports by IDG showed that the average company manages 162.9 terabytes of data, with a significant portion being untapped (around 55% on average) according to 2019 reports by Splunk and True Global Intelligence.

Machine learning is crucial in allowing companies to effectively analyze their data, recognize patterns and trends, and turn it into valuable insights for decision-making and strategy. U.S. News also highlights the high demand for machine learning professionals across multiple industries. According to Indeed, machine learning careers experienced a growth of 344% in job postings in 2019. The average base salary of a machine learning engineer in the US, according to Indeed.com, is $107,635.

Top Skills Required to Grow in machine learning 

In order to succeed in the field of machine learning, individuals must have a strong background in computer science and mathematics. This includes a comprehensive understanding of topics such as linear algebra, calculus, statistics, probability, and algorithms. Proficiency in Python and other programming languages is also essential. Additionally, it is important for machine learning professionals to have the ability to construct machine learning models, continually expanding their knowledge and skills in areas such as forecasting, predictive analytics, supervised and unsupervised learning, and semi-supervised learning.

Other skills like: 

  • Strong Mathematical Foundation: A strong understanding of mathematics, especially linear algebra, calculus, and probability, is essential in the field of machine learning.
  • Programming Skills: Proficiency in programming languages such as Python, R, and MATLAB is a must for machine learning professionals.
  • Data Wrangling and Exploration: The ability to clean, pre-process, and manipulate data is an important skill for machine learning professionals.
  • Model Selection and Optimization: Understanding the appropriate machine learning model to use for a specific task, as well as being able to optimize the model, is critical.
  • Deep Learning: Deep learning is a rapidly growing subfield of machine learning, and a strong understanding of it is becoming increasingly important.
  • Problem-Solving and Critical Thinking: Machine learning professionals need to be able to think critically, analyze data, and solve problems creatively.
  • Communication Skills: The ability to communicate results, insights, and recommendations clearly and effectively is important in any field, especially in machine learning, where complex models and results need to be explained to both technical and non-technical stakeholders.

Top US Cities for Machine Learning Engineers 

Here are some of the top US cities for machine learning engineers with an average salary range:

  1. San Francisco, CA: Average salary range of $120,000 – $160,000
  2. Seattle, WA: Average salary range of $110,000 – $150,000
  3. New York, NY: Average salary range of $110,000 – $140,000
  4. Boston, MA: Average salary range of $100,000 – $140,000
  5. Los Angeles, CA: Average salary range of $100,000 – $140,000
  6. Austin, TX: Average salary range of $90,000 – $130,000
  7. Washington, DC: Average salary range of $90,000 – $120,000

It is important to note that these salary ranges are just averages and may vary based on a variety of factors such as the company size, industry, and the level of experience and education of the machine learning engineer.

Salaries for Machine Learning Engineers in the USA (With Experience & For Freshers)

The salaries for machine learning engineers in the USA vary based on factors such as experience, company size, and location. On average, a machine learning engineer with 2-4 years of experience can earn anywhere from $85,000 to $120,000 per year. For those with 5-9 years of experience, the average salary range is $100,000 to $150,000 per year. For experienced machine learning engineers with 10+ years of experience, the average salary is around $140,000 to $180,000 per year.

For freshers, the average starting salary for a machine learning engineer in the USA is around $60,000 to $80,000 per year. This figure can vary depending on the company, location, and the specific requirements of the job. Some of the top companies for machine learning engineers in the USA include Google, Amazon, Microsoft, Apple, and Facebook, which all offer competitive salaries for freshers and experienced professionals alike.

It is important to note that these figures are just an estimate, and the actual salary offered for a machine learning engineer may vary greatly based on a variety of factors.

Here is a table with average salaries for Machine Learning Engineers in the USA based on various levels of experience:

Experience Level Average Salary (USD)
Entry-level $95,000 – $135,000
Mid-career $120,000 – $180,000
Experienced $145,000 – $220,000
Late-career $165,000 – $250,000

FAQs

Is machine learning a good career in the USA?

Yes, machine learning is a good career in the USA. The demand for skilled machine learning professionals is high, and the field is rapidly growing as more businesses adopt artificial intelligence and machine learning technologies. The average salary for machine learning engineers is also competitive, ranging from $95,000 to $250,000 or more, depending on experience and location. Additionally, the field offers opportunities for professional growth and advancement, as well as the potential to work on cutting-edge technology.

What is the average salary for a machine learning engineer in the US?

The average salary for a machine learning engineer in the US ranges from $95,000 to $250,000 or more, depending on experience and location.

How does experience level affect a machine learning engineer’s salary?

As with many tech careers, the more experience a machine learning engineer has, the higher their salary is likely to be. Entry-level machine learning engineers can expect to earn between $95,000 and $135,000, while late-career professionals can earn upwards of $165,000 to $250,000 or more.

How does location impact a machine learning engineer’s salary?

The cost of living and local job market conditions can greatly impact a machine learning engineer’s salary. For example, a machine learning engineer in San Francisco may earn significantly more than one in a smaller city with a lower cost of living.

Does company size impact a machine learning engineer’s salary?

Yes, the size of a company can impact a machine learning engineer’s salary. Larger companies may offer higher salaries, as well as benefits such as bonuses, stock options, and more.

Are there any other factors that impact a machine learning engineer’s salary?

Other factors that can impact a machine learning engineer’s salary include the industry they work in, the specific skills they bring to the job, and current job market conditions.

Source: https://www.mygreatlearning.com/blog/machine-learning-engineer-salary-in-us/