Applied Intuition pays Machine Learning Engineer roles an average of $153.9k – $235.2k per year, based on 16 job postings — 30% below the average of $209.1k – $344.9k for Machine Learning Engineer positions listed on Inference Jobs.
Mid Level roles pay $141.7k – $228.3k, rising to $179.1k – $249.6k at the Senior level.
Average Machine Learning Engineer salary at Applied Intuition: $153.9k – $235.2k
Applied IntuitionAverage on Inference JobsAll Machine Learning Engineer salaries
$153.9k$440k
Salaries at Applied Intuition by seniority
Applied Intuition salaries range from Mid Level at $141.7k – $228.3k to Senior at $179.1k – $249.6k.
Mid Level
$141.7k$353.2k
Senior
$141.7k$353.2k
How does Applied Intuition pay compare to competitors?
See how Applied Intuition Machine Learning Engineer salaries compare to 9 similar companies.
Overview
Full comparison
$146.0k$475k
Click a company to compare directly with Applied Intuition
Machine Learning Engineer positions at Applied Intuition average $153.9k – $235.2k per year, based on 16 job postings with published salary data.
Mid Level Machine Learning Engineer roles at Applied Intuition average $141.7k – $228.3k, while Senior roles reach $179.1k – $249.6k. The company has salary data across 2 seniority levels for this category.
Applied Intuition pays 30% below the average of $209.1k – $344.9k for Machine Learning Engineer positions listed on Inference Jobs.
Among 9 comparable companies, 9 pay more and 0 pay less than Applied Intuition for Machine Learning Engineer roles. The highest-paying comparable company is Thinking Machines Lab at $350k – $475k.
Senior Machine Learning Engineer roles are the highest paying at Applied Intuition, averaging $179.1k – $249.6k per year.
Salary data is sourced from published job postings with explicit compensation ranges, normalized to annual USD equivalents. Statistical outliers are removed using interquartile range (IQR) filtering. Figures reflect advertised salary ranges and may not include bonuses, equity, or other compensation.
All salary figures are normalized to USD annual equivalents. Averages are based on published jobs with salary data and filtered for statistical outliers.
