ML Software Engineer, London
Apple
ML Software Engineer, London
Job Description
People at Apple don't just build products — they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Our team builds ML-inference applications and services on Apple Silicon in the datacenter, specifically focusing in recent years on generative AI as part of the Private Cloud Compute component of Apple Intelligence. Imagine what you could do here! Join us. Be you. As part of the team you will help engineer continuous improvements in stability and performance for private cloud compute, as well as help implement entirely new functionality as it emerges from the research community, in collaboration with product teams throughout Apple. We write performant and scalable frameworks (in Swift and C++) to distribute and coordinate ML inference tasks to different hardware acceleration IP blocks on different SoCs. We’re a collection of highly skilled and friendly engineers who value each other’s opinions and experience. We strive for excellence and believe strongly in the quality of our output. We have formed a team of domain experts who specializes in specific core subject areas, and also have broad experience of cloud software services and platforms. You will integrate inference code into a full service stack to ensure that user traffic is served reliably and performantly, and will have a strong focus on developing code that is easy and safe to develop, update and monitor.
Locations
- London, England, United Kingdom W1S 1YZ
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- ML-inference applications developmentintermediate
- generative AIintermediate
- Private Cloud Computeintermediate
- Apple Intelligenceintermediate
- Swift programmingintermediate
- C++ programmingintermediate
- performant frameworks developmentintermediate
- scalable frameworks developmentintermediate
- ML inference tasks distributionintermediate
- ML inference tasks coordinationintermediate
- hardware acceleration IP blocksintermediate
- SoCsintermediate
- cloud software servicesintermediate
- cloud platformsintermediate
- inference code integrationintermediate
- full service stackintermediate
- user traffic servingintermediate
- code development (easy and safe)intermediate
- code updatingintermediate
- code monitoringintermediate
- continuous improvements in stabilityintermediate
- continuous improvements in performanceintermediate
- new functionality implementationintermediate
- collaboration with product teamsintermediate
Required Qualifications
- Experience working as a software engineer on large production systems (experience)
- Experience programming in: Swift, C, C++, iOS/macOS or XCode (experience)
- Practical experience running machine learning models and evaluating them for quality and performance metrics (experience)
Preferred Qualifications
- Familiar with Apple ML stack (ANE, CoreML, MPS/Metal), (experience)
- High-level general distributed ML stack (PyTorch-distributed, NCCL) and high throughput inter-chip communication systems. (experience)
- On-device iOS development (experience)
Responsibilities
- As part of the team you will help engineer continuous improvements in stability and performance for private cloud compute, as well as help implement entirely new functionality as it emerges from the research community, in collaboration with product teams throughout Apple.
- We write performant and scalable frameworks (in Swift and C++) to distribute and coordinate ML inference tasks to different hardware acceleration IP blocks on different SoCs.
- We’re a collection of highly skilled and friendly engineers who value each other’s opinions and experience. We strive for excellence and believe strongly in the quality of our output. We have formed a team of domain experts who specializes in specific core subject areas, and also have broad experience of cloud software services and platforms.
- You will integrate inference code into a full service stack to ensure that user traffic is served reliably and performantly, and will have a strong focus on developing code that is easy and safe to develop, update and monitor.
- Quality focus - produce reliable, maintainable, deliverable software
- Comfortable diving deep - working across multiple levels of abstraction
- Good at handling relationships & communication - collaborate well with colleagues across a wide range of functions
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Answer 10 quick questions to check your fit for ML Software Engineer, London @ Apple.
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ML Software Engineer, London
Apple
ML Software Engineer, London
Job Description
People at Apple don't just build products — they craft the kind of experience that has revolutionized entire industries. The diverse collection of our people and their ideas inspire innovation in everything we do. Our team builds ML-inference applications and services on Apple Silicon in the datacenter, specifically focusing in recent years on generative AI as part of the Private Cloud Compute component of Apple Intelligence. Imagine what you could do here! Join us. Be you. As part of the team you will help engineer continuous improvements in stability and performance for private cloud compute, as well as help implement entirely new functionality as it emerges from the research community, in collaboration with product teams throughout Apple. We write performant and scalable frameworks (in Swift and C++) to distribute and coordinate ML inference tasks to different hardware acceleration IP blocks on different SoCs. We’re a collection of highly skilled and friendly engineers who value each other’s opinions and experience. We strive for excellence and believe strongly in the quality of our output. We have formed a team of domain experts who specializes in specific core subject areas, and also have broad experience of cloud software services and platforms. You will integrate inference code into a full service stack to ensure that user traffic is served reliably and performantly, and will have a strong focus on developing code that is easy and safe to develop, update and monitor.
Locations
- London, England, United Kingdom W1S 1YZ
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- ML-inference applications developmentintermediate
- generative AIintermediate
- Private Cloud Computeintermediate
- Apple Intelligenceintermediate
- Swift programmingintermediate
- C++ programmingintermediate
- performant frameworks developmentintermediate
- scalable frameworks developmentintermediate
- ML inference tasks distributionintermediate
- ML inference tasks coordinationintermediate
- hardware acceleration IP blocksintermediate
- SoCsintermediate
- cloud software servicesintermediate
- cloud platformsintermediate
- inference code integrationintermediate
- full service stackintermediate
- user traffic servingintermediate
- code development (easy and safe)intermediate
- code updatingintermediate
- code monitoringintermediate
- continuous improvements in stabilityintermediate
- continuous improvements in performanceintermediate
- new functionality implementationintermediate
- collaboration with product teamsintermediate
Required Qualifications
- Experience working as a software engineer on large production systems (experience)
- Experience programming in: Swift, C, C++, iOS/macOS or XCode (experience)
- Practical experience running machine learning models and evaluating them for quality and performance metrics (experience)
Preferred Qualifications
- Familiar with Apple ML stack (ANE, CoreML, MPS/Metal), (experience)
- High-level general distributed ML stack (PyTorch-distributed, NCCL) and high throughput inter-chip communication systems. (experience)
- On-device iOS development (experience)
Responsibilities
- As part of the team you will help engineer continuous improvements in stability and performance for private cloud compute, as well as help implement entirely new functionality as it emerges from the research community, in collaboration with product teams throughout Apple.
- We write performant and scalable frameworks (in Swift and C++) to distribute and coordinate ML inference tasks to different hardware acceleration IP blocks on different SoCs.
- We’re a collection of highly skilled and friendly engineers who value each other’s opinions and experience. We strive for excellence and believe strongly in the quality of our output. We have formed a team of domain experts who specializes in specific core subject areas, and also have broad experience of cloud software services and platforms.
- You will integrate inference code into a full service stack to ensure that user traffic is served reliably and performantly, and will have a strong focus on developing code that is easy and safe to develop, update and monitor.
- Quality focus - produce reliable, maintainable, deliverable software
- Comfortable diving deep - working across multiple levels of abstraction
- Good at handling relationships & communication - collaborate well with colleagues across a wide range of functions
Tags & Categories
Answer 10 quick questions to check your fit for ML Software Engineer, London @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs