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Remote Senior Desktop Software Engineer, Machine Learning (Mac)

  • Job type Posted on: Jun 25, 2026
  • Experience level grabjobs
  • Employment type Anchorage, Alaska
  • Employment type Remote
  • Salary Full-time

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Job Title :

Remote Senior Desktop Software Engineer, Machine Learning (Mac)

Job Type :

Full-time

Job Location :

Anchorage Alaska United States

Remote :

Yes

Jobcon Logo Job Description :

We are looking for a Senior Desktop Software Engineer, Machine Learning to work on an innovative project that redefines software. In this role, you will develop and ship Mac-based desktop software with a strong focus on performance and reliability. Expertise in virtual environments, resource management, process isolation, and security fundamentals. Strong proficiency in macOS development, including system APIs and frameworks. Understanding of machine learning pipelines and processes, with an interest in optimizing ML workflows on desktop systems. Autonomous, distributed environment with the opportunity to work collaboratively in a diverse team worldwide. The scope to contribute to high-impact work and make a difference in a decentralized protocol. The chance to challenge yourself while learning heaps of stuff in the process. Unlimited time off throughout the year to rest and recharge. Competitive compensation with stock options, experiencing growth from the initial phase.

Jobcon Logo Position Details

Posted:

Jun 25, 2026

Reference Number:

14660_3E0DEC26EE25EED025CBDDA10F35EB77

Employment:

Full-time

Salary:

Not Available

City:

Anchorage

Job Origin:

APPCAST_CPC

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We are looking for a Senior Desktop Software Engineer, Machine Learning to work on an innovative project that redefines software. In this role, you will develop and ship Mac-based desktop software with a strong focus on performance and reliability. Expertise in virtual environments, resource management, process isolation, and security fundamentals. Strong proficiency in macOS development, including system APIs and frameworks. Understanding of machine learning pipelines and processes, with an interest in optimizing ML workflows on desktop systems. Autonomous, distributed environment with the opportunity to work collaboratively in a diverse team worldwide. The scope to contribute to high-impact work and make a difference in a decentralized protocol. The chance to challenge yourself while learning heaps of stuff in the process. Unlimited time off throughout the year to rest and recharge. Competitive compensation with stock options, experiencing growth from the initial phase.

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