Scale pays Machine Learning Engineer roles an average of $210.0k – $267.3k per year, based on 18 job postings — 14% below the average of $209.1k – $344.9k for Machine Learning Engineer positions listed on Inference Jobs.
Mid Level roles pay $211.5k – $266.0k, rising to $220.1k – $285.2k at the Senior level.
Average Machine Learning Engineer salary at Scale: $210.0k – $267.3k
ScaleAverage on Inference JobsAll Machine Learning Engineer salaries
$160k$440k
Salaries at Scale by seniority
Scale salaries range from Mid Level at $211.5k – $266.0k to Senior at $220.1k – $285.2k.
Mid Level
$182.3k$353.2k
Senior
$182.3k$353.2k
How does Scale pay compare to competitors?
See how Scale Machine Learning Engineer salaries compare to 9 similar companies.
Overview
Full comparison
$146.0k$475k
Click a company to compare directly with Scale
Scale Machine Learning Engineer salary FAQs
Machine Learning Engineer positions at Scale average $210.0k – $267.3k per year, based on 18 job postings with published salary data.
Mid Level Machine Learning Engineer roles at Scale average $211.5k – $266.0k, while Senior roles reach $220.1k – $285.2k. The company has salary data across 2 seniority levels for this category.
Scale pays 14% below the average of $209.1k – $344.9k for Machine Learning Engineer positions listed on Inference Jobs.
Among 9 comparable companies, 5 pay more and 4 pay less than Scale 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 Scale, averaging $220.1k – $285.2k 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.
