Machine Learning Enablement Engineer, Siri Core Modeling
Apple
Machine Learning Enablement Engineer, Siri Core Modeling
Job Description
Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Siri Agent Modeling - Tooling & Operations team to rapidly iterate the tooling and infrastructure that enables the larger organization to do their best work. As a Machine Learning Enablement Engineer, you will be a hyper-generalist, able to quickly solve the complex and varied problems our organization encounters. Some days, that might involve building polished, bespoke data visualizations to help engineers track the performance of their models. Other days, you might be engaged in extensive, low-level performance engineering to fit a software component within the latency and memory budget required to run on-device. You will be as comfortable designing a Siri-scale data pipeline as you are designing an excellent UI.
Locations
- Sunnyvale, California, United States 94085
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
- building data visualizationsintermediate
- performance engineeringintermediate
- designing data pipelinesintermediate
- designing UIintermediate
- machine learning enablementintermediate
- low-level software optimizationintermediate
- on-device software developmentintermediate
- problem-solvingintermediate
Required Qualifications
- Working proficiency with Rust (experience)
- Highly proficient with Typescript and Python (experience)
- Proven ability to ship quickly (experience)
Preferred Qualifications
- Highly productive with React and Rust (experience)
- Proven ability to leverage LLMs to build and ship quickly (experience)
- Founding engineer or internship experience at an early-stage startup that shipped a product successfully (experience)
- Experience with real-time programming, graphics, or compilers (experience)
- Experience with hardware-aware performance engineering (experience)
- Strong system design skills (experience)
- Experience with GCP (Google Cloud Platform) (experience)
Responsibilities
- As a Machine Learning Enablement Engineer, you will be a hyper-generalist, able to quickly solve the complex and varied problems our organization encounters. Some days, that might involve building polished, bespoke data visualizations to help engineers track the performance of their models. Other days, you might be engaged in extensive, low-level performance engineering to fit a software component within the latency and memory budget required to run on-device. You will be as comfortable designing a Siri-scale data pipeline as you are designing an excellent UI.
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Answer 10 quick questions to check your fit for Machine Learning Enablement Engineer, Siri Core Modeling @ Apple.
10 Questions
~2 Minutes
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Machine Learning Enablement Engineer, Siri Core Modeling
Apple
Machine Learning Enablement Engineer, Siri Core Modeling
Job Description
Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Siri Agent Modeling - Tooling & Operations team to rapidly iterate the tooling and infrastructure that enables the larger organization to do their best work. As a Machine Learning Enablement Engineer, you will be a hyper-generalist, able to quickly solve the complex and varied problems our organization encounters. Some days, that might involve building polished, bespoke data visualizations to help engineers track the performance of their models. Other days, you might be engaged in extensive, low-level performance engineering to fit a software component within the latency and memory budget required to run on-device. You will be as comfortable designing a Siri-scale data pipeline as you are designing an excellent UI.
Locations
- Sunnyvale, California, United States 94085
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
- building data visualizationsintermediate
- performance engineeringintermediate
- designing data pipelinesintermediate
- designing UIintermediate
- machine learning enablementintermediate
- low-level software optimizationintermediate
- on-device software developmentintermediate
- problem-solvingintermediate
Required Qualifications
- Working proficiency with Rust (experience)
- Highly proficient with Typescript and Python (experience)
- Proven ability to ship quickly (experience)
Preferred Qualifications
- Highly productive with React and Rust (experience)
- Proven ability to leverage LLMs to build and ship quickly (experience)
- Founding engineer or internship experience at an early-stage startup that shipped a product successfully (experience)
- Experience with real-time programming, graphics, or compilers (experience)
- Experience with hardware-aware performance engineering (experience)
- Strong system design skills (experience)
- Experience with GCP (Google Cloud Platform) (experience)
Responsibilities
- As a Machine Learning Enablement Engineer, you will be a hyper-generalist, able to quickly solve the complex and varied problems our organization encounters. Some days, that might involve building polished, bespoke data visualizations to help engineers track the performance of their models. Other days, you might be engaged in extensive, low-level performance engineering to fit a software component within the latency and memory budget required to run on-device. You will be as comfortable designing a Siri-scale data pipeline as you are designing an excellent UI.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Enablement Engineer, Siri Core Modeling @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs