1. How much does a lead machine learning engineer make in the US?
As of now, the salary for a Lead Machine Learning Engineer in the United States ranges from $172,880 to $209,640 annually, with a median salary of $189,440. This translates to approximately $83.05 to $100.67 per hour, or $3,290 to $4,000 per week.
2. How much does a lead data engineer at Meta make?
The estimated total pay range for a Lead Machine Learning Engineer at Meta is approximately $172,880 to $209,640 per year, based on base salary data. The average base salary is around $189,440 per year. Additional compensation may vary and could include bonuses or stock options, but specific figures for these are not provided.
3. What is the highest paying job in ML?
The highest paying job in machine learning is often the Lead Machine Learning Engineer, with salaries ranging from $172,880 to $209,640. Other top roles include ML Research Scientist, NLP Engineer, and Computer Vision Engineer, all of which offer competitive compensation in the growing field of machine learning.
4. What is the salary of ML engineer in Google?
The estimated total pay range for a Lead Machine Learning Engineer at Google is $172,880 to $209,640 per year, which includes base salary and additional compensation. The average base salary for this role is approximately $189,440 per year.
5. How much does a PHD in Machine Learning Engineer make?
A PhD in Machine Learning Engineering typically earns between $172,880 and $209,640 annually. This role requires a deep understanding of data engineering, as well as expertise in designing, training, and evaluating machine learning models. The mid-salary for this position is approximately $189,440.
6. What is a good salary for an engineer in USA?
A good salary for a Lead Machine Learning Engineer in the USA ranges from $172,880 to $209,640 annually, with a median salary of $189,440. This is significantly higher than the average engineer salary, reflecting the specialized skills and expertise required in this field.