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Physical Scientist / Test Engineer

Midjourney • Generative Image • Foundation Models • 5 days a week in the office • Python • MATLAB • 19 days ago
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Salary
≈ $128k – $278k per year (Estimated)
Location
Hybrid (San Francisco, United States)
Visa
H-1B filings in 12 months: 2 · for this role: 2
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 7, 2026. First seen by Alion on Sep 18, 2026.

Overview
Company
Impact
Profile match

Midjourney

Midjourney is an independent research laboratory whose text to image models set the visual quality benchmark for generative imagery for several years. Its products run inside a community platform where millions of users generate and refine images together, an unusual distribution choice that shaped the culture around generative art. The company remains self funded, has never raised outside venture capital and operates with a very small research team; its models are trained and served entirely on infrastructure the company controls.
midjourney.com • HQ: San Francisco, United States • Foundation Models • Generative Image • Est. 2021
Tech stack of Midjourney
Backed by Silicon Valley Investclub, Valueaddvc, Redbud VC

What You'll Do

Physical scientist/engineer to take responsibility for testing and validation of novel hardware systems

What We're Looking For

  • Hands-on laboratory experience and the ability to work independently

  • Familiarity with test and measurement equipment including: oscilloscopes, lock-in amplifiers, spectrum analyzers, PID controllers, etc.

  • Proven diagnostic and troubleshooting skills, coupled with the drive to understand experimental results fully before proceeding

  • Diligent record-keeping habits and facility with Python/Matlab/equivalent for data analysis and visualization

  • Ability to work on-site (up to five days/week) in the San Francisco Bay Area

  • Given the nature of the work, U.S. citizenship is required.

Useful Experience

  • Background in experimental physics, particularly in quantum or optical measurements

  • Hands-on EE design and manufacturing experience: analog and digital electronics, board layout, soldering, etc.

  • Excellent data presentation skills

  • A desire to learn new skills outside your current area of expertise

  • Proficiency using the latest AI tools to accelerate workflow

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