Engineering · United States
Machine Learning Engineer Salary in Los Angeles, CA$141,497–$183,783 in 2026
The demand for machine learning engineers in Los Angeles, CA has outpaced nearly every other discipline. Salaries for mid-level roles sit between $141,497 and $183,783, with a meaningful premium for anyone who has worked with large language models at scale, built real-time inference systems, or shipped recommendation systems with measurable revenue impact. The median of $162,640 understates what the best offers look like right now.
Machine Learning Engineer Salary in Los Angeles — 2026 Overview
Entry Level
$123,606
0–2 years
Mid-Level
$162,640
3–5 years
Senior
$211,432
6–10 years
| Experience | Low | Median | High |
|---|---|---|---|
| 0–2 years | $108,773 | $123,606 | $138,439 |
| 3–5 years | $141,497 | $162,640 | $183,783 |
| 6–10 years | $183,946 | $211,432 | $238,918 |
| 11+ years | $230,786 | $268,356 | $305,926 |
Data reflects base salary for Machine Learning Engineers in Los Angeles, CA, 2026. Figures exclude bonus, equity, and benefits. Sources: market surveys, job postings, and aggregated offer data.
Why Machine Learning Engineer Salaries Are This Level in Los Angeles
LA's tech scene is more diverse than the Bay Area — media tech, aerospace, gaming, and consumer apps coexist with a growing SaaS ecosystem. Salaries are slightly below SF/Seattle but above the national average.
LA is expensive, but meaningfully cheaper than San Francisco. One-bedroom apartments in tech-dense areas like Santa Monica, Culver City, or Playa Vista run $2,500–$3,500/month. Traffic patterns affect lifestyle and effective work hours significantly.
Top Los Angeles employers hiring Machine Learning Engineers
Machine Learning Engineer Job Market in Los Angeles: Demand & Hiring Outlook
Los Angeles sits among the most competitive engineering hiring markets in United States. Demand for Machine Learning Engineers here has consistently outpaced supply, which keeps salaries above national averages and gives candidates genuine leverage in negotiations. Companies in Los Angeles know they're competing not just locally but against distributed teams offering remote roles — so total comp packages, including equity, have become more generous as a result.
What Machine Learning Engineers in Los Angeles Actually Negotiate For
Base salary is only the starting point. The most experienced negotiators in Los Angeles push for the full package — and the employers who want you badly enough will move on more than just base.
- Equity
- Research time
- GPU compute budget
- Conference access
- Publication rights
Many Machine Learning Engineers leave $19,517–$40,660 on the table annually by not negotiating these elements. A signing bonus alone can be worth one to two months' salary — and it doesn't affect your base going forward.
Skills That Command the Highest Machine Learning Engineer Salaries in Los Angeles
Not all Machine Learning Engineers in Los Angeles earn the same — and the gap between the lower and upper end of the salary range comes down to specific technical and leadership competencies. These are the skills that consistently push offers toward $183,783 and above.
Is your Machine Learning Engineer offer in Los Angeles fair?
You now have the market range: $141,497–$183,783. The next step is knowing exactly where your specific offer sits — and getting the word-for-word script to negotiate it. SalaryAsk benchmarks your offer against live market data, builds your personalised strategy, and lets you practice the conversation with a virtual hiring manager.
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Frequently Asked Questions
What is the average Machine Learning Engineer salary in Los Angeles, CA?
The median Machine Learning Engineer salary in Los Angeles, CA is $162,640 for someone with 3–5 years of experience. Across all experience levels, the range runs from $108,773 for entry-level through to $305,926 for highly experienced or specialised professionals.
Is $141,497–$183,783 a good Machine Learning Engineer salary in Los Angeles?
Yes — for a mid-level Machine Learning Engineer in Los Angeles, CA, $141,497–$183,783 represents the market rate in 2026. If your offer falls significantly below $141,497, it's worth negotiating or understanding why the company is below the market benchmark. Offers above $183,783 typically reflect either a scarce specialisation, a particularly well-funded company, or both.
How much does a Staff ML Engineer / Principal AI Engineer earn in Los Angeles?
Senior Machine Learning Engineers and people moving into Staff ML Engineer / Principal AI Engineer roles typically earn $183,946–$305,926 in Los Angeles, CA. At the most senior levels, total compensation (including equity and bonuses) often substantially exceeds the base salary shown here.
How do I negotiate a Machine Learning Engineer salary in Los Angeles?
The first step is anchoring to market data — you now know the range is $141,497–$183,783. The second is understanding your specific leverage: your experience, the company's urgency to hire, and what competing offers or alternatives you have. SalaryAsk walks you through all of this, generates a personalised negotiation strategy, and gives you the exact language to use in the conversation.
Does remote work affect Machine Learning Engineer salaries in Los Angeles, CA?
It depends on the company's policy. Los Angeles, CA-based companies that allow full remote work sometimes adjust salaries to local market rates if you relocate — but many still pay the Los Angeles band ($141,497–$183,783) regardless of where you work. If you're negotiating a remote arrangement, it's worth explicitly agreeing on whether the salary is tied to your location or to the role's market rate.
What is the difference between a Machine Learning Engineer and a Staff ML Engineer / Principal AI Engineer in terms of pay?
In Los Angeles, CA, the jump from mid-level (around $162,640) to Staff ML Engineer / Principal AI Engineer level typically adds 30–50% to base salary, pushing total compensation well above $305,926. The increase isn't just tenure — it reflects expanded scope, ownership of systems, and the ability to operate without close direction. Companies at the Staff ML Engineer / Principal AI Engineer level also tend to be more flexible on equity and signing bonuses.