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Sr Software Engineer - Applied Intelligence

Job in Santa Clara, Santa Clara County, California, 95053, USA
Listing for: Socket.dev
Full Time position
Listed on 2026-08-28
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Software Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 130000 - 180000 USD Yearly USD 130000.00 180000.00 YEAR
Job Description & How to Apply Below

The Applied Intelligence team, part of AI, Search & Knowledge Platforms, builds applications that bring intelligent capabilities to people through Siri, search, and new surfaces that haven't shipped yet. We work across the full stack, from native apps and prototyping tools to server integrations, with teams across Apple. There is a huge opportunity in bringing intelligent capabilities to personal data in a way that is secure, private, and only possible in the Apple ecosystem.

Description

We are looking for an experienced software engineer who can work broadly across the stack and adapt as priorities shift. Ideally you have deep technical understanding of iOS or macOS, experience building systems that use the full capabilities of the platform, and the ability to integrate machine learning and AI technologies into production experiences. A strong understanding of modern AI systems and the ability to collaborate closely with ML engineers will be critical.

Having strong technical opinions, a bias toward experimentation, and the focus to deliver on time are key to being successful here.

Minimum Qualifications

6+ years of experience building software solutions (frameworks, UI, services) for iOS or macOSTrack record of working cross functionally with engineers, designers, and ML engineers to ship products

Demonstrated ability to work across the full stack (UI, application logic, networking/services)
BS or MS in Computer Science, Software Engineering, or equivalent practical experience

Preferred Qualifications

Strong product focus and ability to advocate for the end user experience

Deep understanding of and strong opinions on software quality

Comfortable taking ownership and driving quality end to end Experience building software that makes full use of platform capabilities

Familiarity with search technologies, information retrieval, or knowledge systems

Familiarity with ML concepts or experience integrating ML models into applications

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