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Home›Jobs›Apple›Senior Software Engineer, Model Inference
Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA⭐ 4.2
B2CB2BHardwareSaaSTelecommunicationseCommerce

Key Highlights

  • Market cap of $3 trillion as of 2022
  • Over 1 billion active devices worldwide
  • Comprehensive medical plans including mental healthcare
  • Paid parental leave and gradual return-to-work program

Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...

🎁 Benefits

Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...

🌟 Culture

Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...

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Apple

Senior Software Engineer, Model Inference

Apple • California, United States

Posted 1w ago🏛️ On-SiteSeniorMachine learning engineer📍 California
Apply Now →

Skills & Technologies

KubernetesPythonTensorFlowDeep learningLarge language models

Job Description

Join Apple Maps to help build the best map in the world. In this role on ML Platform, you will help bring advanced deep learning and large language models into high-volume, low-latency, highly available production serving, improving search quality and powering experiences across Maps. You will partner closely with research and product teams, take end-to-end ownership, and deliver measurable results at global scale. As a Software Engineer on the Apple Maps team, you will lead the design and implementation of large-scale, high-performance inference services that support a wide range of models used across Maps, including deep learning and large language models. You will collaborate closely with research and product partners to bring models into production, with a strong focus on efficiency, reliability, and scalability. Your responsibilities span the full server stack, including onboarding new use cases, optimizing inference across heterogeneous accelerated compute hardware, deploying services on Kubernetes, building and integrating inference engines and control-plane components, and ensuring seamless integration with Maps infrastructure.

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