ML Software Engineer, London
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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 write performant and scalable frameworks (in Swift and C) to distribute and coordinate ML inference tasks to different hardware acceleration IP blocks on different a collection of highly skilled and friendly engineers who value each others 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.
- Experience working as a software engineer on large production systems
- Experience programming in: Swift C C iOS/macOS or XCode
- Practical experience running machine learning models and evaluating them for quality and performance metrics
- Familiar with Apple ML stack (ANE CoreML MPS/Metal)
- High-level general distributed ML stack (PyTorch-distributed NCCL) and high throughput inter-chip communication systems.
- On-device iOS development
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- Data Structures
- JavaScript
- Software Development
- Java
- Distributed Systems
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more
