How does company size affect On-Device AI Engineer pay in Los Angeles?

Large enterprises in Los Angeles pay On-Device AI Engineers 10 to 20% more in base, but startups compensate with equity. The range of $156,000 to $269,000 spans both.

How do I negotiate a On-Device AI Engineer salary in Los Angeles?

On-Device AI Engineers in Los Angeles earn $156,000 to $269,000. Anchor your ask near the 75th percentile to land at the median.

What is the entry level On-Device AI Engineer salary in Los Angeles?

Entry level On-Device AI Engineer positions in Los Angeles start near $156,000. Candidates with strong backgrounds negotiate toward $207,000.

On-Device AI Engineer.

Los Angeles.

$207,000

median salary, 18% above the national average

$156,000 to $269,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Here is what On-Device AI Engineers actually make in Los Angeles: $156,000 at the 25th percentile, $207,000 at the median, and $269,000 at the 75th. That is 18% above the national average. Los Angeles blends a thriving entertainment industry with a growing tech and startup ecosystem, often called Silicon Beach. The number on your offer letter will depend on what you bring and how you ask.

Salary range

25th Percentile

$156,000

per year

Median

$207,000

per year

75th Percentile

$269,000

per year

Tap to place your salary

$156,000$269,000

How Los Angeles compares

Los Angeles, CA

$207,000

Cost of living: 18% above average

National Average

$175,000

Los Angeles is $32,000 above

What you should know

Before you negotiate a On-Device AI Engineer offer in Los Angeles, understand the terrain. Los Angeles blends a thriving entertainment industry with a growing tech and startup ecosystem, often called Silicon Beach. The city's diverse economy spans aerospace, healthcare, fashion, and gaming. LA offers strong salaries that, while below San Francisco levels, pair with a broader lifestyle appeal and lower housing costs relative to the Bay Area. Salary scales with expertise in model compression and deployment across diverse hardware targets. Engineers optimizing transformer models for mobile NPUs and edge TPUs earn premiums. Experience with Apple CoreML, Qualcomm AI Engine, or MediaTek NeuroPilot adds 10% to 18% over generalist ML engineers.

Junior on-device AI engineers start around $132,000 porting models to mobile frameworks. Mid-level engineers designing custom on-device inference pipelines earn $173,000 to $198,000. Senior engineers leading edge AI strategy for product lines reach $228,000 to $280,000. In Los Angeles, those numbers run higher. The cost of living here is 18% above average, and employers adjust to compete.

Base salary is not the full picture. Device manufacturers offer RSU grants vesting over four years with annual refreshers. Annual bonuses of 12% to 18% are standard, with patent bonuses of $5,000 to $15,000 per filing common at hardware companies. And on the tax side: california's 13.3% top state income tax rate applies to LA earners as well. There is no city income tax, but the high state rate makes take home pay lower than cities in no income tax states. When someone quotes you $207,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Highlight cross industry skills. LA employers value candidates who bridge entertainment and tech, so framing your experience across verticals can unlock higher offers. The range for On-Device AI Engineers in Los Angeles runs from $156,000 to $269,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Top industries in Los Angeles

Entertainment & MediaAerospace & DefenseTechnologyHealthcareFashion

Negotiating in Los Angeles

Highlight cross industry skills. LA employers value candidates who bridge entertainment and tech, so framing your experience across verticals can unlock higher offers.

Common questions.

On-device engineers face strict constraints: limited memory, battery life, thermal throttling, and heterogeneous hardware. They must master quantization, pruning, and architecture design for specific NPU instructions. Cloud engineers optimize for throughput and cost, while on-device engineers optimize for latency, power, and model size simultaneously.

Smartphones remain the largest market, with Apple, Samsung, and Qualcomm hiring aggressively. Smart home devices, automotive ADAS systems, and AR glasses are growing rapidly. The shift toward on-device language models for privacy-sensitive applications is creating new demand across consumer electronics and IoT companies.

In Los Angeles, large enterprises typically pay On-Device AI Engineers 10 to 20% more in base salary than small companies, but startups often compensate with equity that can exceed base salary value. Device manufacturers offer RSU grants vesting over four years with annual refreshers. The $156,000 to $269,000 range reflects this entire spectrum.

Lead with data: On-Device AI Engineers in Los Angeles earn $156,000 to $269,000, so anchoring your ask near $269,000 gives room to land at the median. Highlight cross industry skills. LA employers value candidates who bridge entertainment and tech, so framing your experience across verticals can unlock higher offers. Never accept the first number without a conversation.

Entry level On-Device AI Engineer positions in Los Angeles typically start near $156,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $207,000. Junior on-device AI engineers start around $132,000 porting models to mobile frameworks.

California's 13.3% top state income tax rate applies to LA earners as well. There is no city income tax, but the high state rate makes take home pay lower than cities in no income tax states. When comparing offers across states, your take home pay matters more than the number on the offer letter. A lower salary in a no income tax state can net more than a higher one elsewhere.