Experience
Industry
The estimated total pay for a Machine Learning Engineer is $146,080 per year in the San Francisco, CA area, with an average salary of $118,909 per year. These numbers represent the median, which is the midpoint of the ranges from our proprietary Total Pay Estimate model and based on salaries collected from our users. The estimated additional pay is $27,171 per year. Additional pay could include cash bonus, commission, tips, and profit sharing. The "Most Likely Range" represents values that exist within the 25th and 75th percentile of all pay data available for this role.
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For Machine Learning Engineer in San Francisco, CA
Download as data table
Job Title | Salary |
---|---|
Machine Learning Engineer | |
Senior Machine Learning Engineer | |
Lead Machine Learning Engineer | $172,569 /yr |
For Machine Learning Engineer in San Francisco, CA
Some related job titles are Software Engineer - Machine Learning Salaries with median pay of $173,929, Research Engineer Salaries with median pay of $161,786, Machine Learning Research Scientist Salaries with median pay of $177,384, Machine Learning Scientist Salaries with median pay of $161,753.
For a Machine Learning Engineer in San Francisco, CA
Below is the total pay for the top 10 highest paying companies for a Machine Learning Engineer in San Francisco, CA. Employers include Meta, Cruise and Block.
For Machine Learning Engineer in San Francisco, CA
Download as data table
Job Title | Salary |
---|---|
Machine Learning Engineer | |
Senior Machine Learning Engineer | |
Lead Machine Learning Engineer | $172,569 /yr |
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For a Machine Learning Engineer in San Francisco, CA
The top 3 paying industries for a Machine Learning Engineer in San Francisco, CA are Information Technology with a median total pay of $218,689, Financial Services with a median total pay of $197,863 and Education with a median total pay of $196,220.
What is the pay outlook for Engineering?
Engineering jobs are in high demand with workers receiving generous compensation packages and bonuses. Engineering offers ample opportunity for growth and development with transferable skills across an array of fields from software, supply chain and logistics to aerospace. Most roles require at least a bachelor’s degree. To remain competitive, job-seekers should consider specialization or skill-specific programs such as coding boot-camps or certifications.
How does the Machine learning engineer salary in San Francisco, CA compare to the national average salary in US for the same job?
The average salary for a Machine learning engineer in US is $131,000 per year based on 2,164 salary contributions, which is 14.68% less than the salary for a Machine learning engineer in San Francisco, CA. The cost of living and the local demand for the work are among the factors affecting wages. The top 3 companies in US where a Machine learning engineer gets the highest compensation are Instacart, Snap, Inc. and Bloomberg L.P.. Bigger companies typically pay 34.41% more than smaller companies for a Machine learning engineer.
For machine learning engineer in San Francisco, CA
Job Title
Location
Total Pay
Base Pay | Additional Pay
Total Years of Experience
Years at Recent Employer
Submitted
Date or Time
San Francisco, CA
| 1-3 years
/yr
$140K | $14K
Submitted Yesterday
San Francisco, CA
| 4-6 years
/yr
Submitted Yesterday
San Francisco, CA
| 1-3 years
/yr
Submitted Yesterday
San Francisco, CA
| 4-6 years
/yr
$305K | $520K
Submitted Yesterday
San Francisco, CA
| 4-6 years
/yr
Submitted 2 days ago
San Francisco, CA
| 1-3 years
/yr
Submitted 2 days ago
San Francisco, CA
| 1-3 years
/yr
Submitted 2 days ago
San Francisco, CA
| 1-3 years
/yr
$160K | $16K
Submitted 2 days ago
San Francisco, CA
| <1 year
/hr
Submitted 2 days ago
The average salary for a Machine Learning Engineer is $118,909 per year in San Francisco, CA. Salaries estimates are based on 3839 salaries submitted anonymously to Glassdoor by a Machine Learning Engineer employees in San Francisco, CA.
The highest salary for a Machine Learning Engineer in San Francisco, CA is $180,416 per year.
The lowest salary for a Machine Learning Engineer in San Francisco, CA is $78,371 per year.
If you are thinking of becoming a Machine Learning Engineer or planning the next step in your career, find details about the role, the career path and salary trajectory of a Machine Learning Engineer.
According to anonymous salary reports on Glassdoor, approximately 78% of active machine learning engineers say they're satisfied with their current salary even when taking into account their experience levels and current starting salaries from other companies in the field.
Join thousands of real professionals anonymously talking about salaries in their industry
An employee well into their machine learning engineer career path often sees high-end salaries up to $230,139.12, with additional pay and bonuses adding up to an overall $146,080.07. When you begin your career though, salaries tend to start at $94,130.03, and you can expect to start making an average of $118,908.77 after moving beyond entry-level roles.
Learn more about negotiating salaries from thousands of other real professionals
Even if your position brings you fulfillment through the work you do, having a higher salary can make it an even better chapter in your machine learning engineer career. Having a degree in computer science or machine learning prior to entering the workforce is the best way to start making more money right out of the gate. Already in a position? See if you can leverage company tuition reimbursement programs to further your degree, another way to realize more compensation offered by your employer. If you still aren't getting the pay you want, see if a better-fitting position that matches your skill set is out there and apply.
Whether you're due for a promotion or spending time looking through current machine learning engineer postings, it's important to brush up on your negotiation skills for the upcoming salary discussions. See what other companies are paying for someone with your experience and education levels to identify a reasonable salary range. Always start higher than your minimum required amount to provide room for concessions without sacrificing what you know you can earn elsewhere. Touch on your "market value" and that you "understand your skills are worth X amount" to other companies in the same industry.