Member of Technical Staff, iOS at Recruiting From Scratch
San Francisco, CA
$130,000–$300,000from the description
Jul 21, 2026
San Francisco, CA
Jul 23, 2026
What this job asks for AI summary
A native iOS engineering role at an AI infrastructure company, focused on building and maintaining the mobile applications used by a large network of human experts who contribute to AI development. The work spans full feature ownership — from design through deployment — including SwiftUI component development, performance optimization, and integration with AI-powered workflows. Suited to engineers with a few years of production iOS experience who are comfortable with significant autonomy in a fast-moving startup.
Mid level · 2+ years · San Francisco-Oakland-Berkeley, CA · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 870 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (mobile application developers). range 460–1,150
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $190,744 (middle half $167,095–$224,501). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The title 'Member of Technical Staff, iOS' carries no explicit seniority level, so advertised seniority is Unspecified. The stated experience range of 2–5 years and the team context (small, high-impact, significant ownership) align with a Mid-level band.
The compensation range ($130K–$300K) is unusually wide for a single band; the upper end likely reflects equity-heavy or exceptional candidates rather than a distinct seniority tier.
AI-assisted development tools (Cursor, Claude Code, GitHub Copilot, Codex, or similar) appear in the required qualifications section but are framed as 'familiarity with … or similar,' indicating the specific tool is interchangeable; captured as a single preferred skill with alternatives. The requirement is for familiarity, not deep expertise, which also supports preferred over required.
Several preferred items ('consumer-facing or marketplace mobile applications,' 'mobile performance optimization, testing, and release automation') name no specific named technology and were omitted or generalized per extraction rules; only concrete named tools are captured as skills.
The role is fully onsite (5 days/week) in San Francisco.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): mobile performance optimization.
Read the full posting
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