We design and build machine learning infrastructures to support features that empowers billions of Apple users. As part of this group you will develop the systems we use to build AI/ML models through the entire lifecycle - from experimentation to production inference. You will have opportunities to work cross functional with MLE DS Infra and others. You will be able to stay on the cutting edge of tooling that supercharges ML/AI innovation at Apple.
- Bachelors in Computer Science engineering or a related field
- Proficiency in Python and advanced knowledge of the Python ML ecosystem
- Extensive experience building tools for ML lifecycle and launching ML-powered experiences to production
- Proven record of building responsive and scalable services
- Experience with service oriented architecture observability database and distributed systems
- Experience with building on top of AWS or GCP cloud services
- Solid understanding of software engineering principles and design patterns
- Strong communication skills and ability to work in a collaborative environment
- Experience working with notebook ecosystems and web-based IDEs. Experience with building and deploy ML software in production to a wide range of infrastructure (CPU/GPU/TPU).
- Big data experience such as Apache Spark Apache Ray
- Some frontend development experience with Javascript / React
- Prior experience building an Notebook solution in a large organization
Required Experience:
Senior IC
We design and build machine learning infrastructures to support features that empowers billions of Apple users. As part of this group you will develop the systems we use to build AI/ML models through the entire lifecycle - from experimentation to production inference. You will have opportunities to ...
We design and build machine learning infrastructures to support features that empowers billions of Apple users. As part of this group you will develop the systems we use to build AI/ML models through the entire lifecycle - from experimentation to production inference. You will have opportunities to work cross functional with MLE DS Infra and others. You will be able to stay on the cutting edge of tooling that supercharges ML/AI innovation at Apple.
- Bachelors in Computer Science engineering or a related field
- Proficiency in Python and advanced knowledge of the Python ML ecosystem
- Extensive experience building tools for ML lifecycle and launching ML-powered experiences to production
- Proven record of building responsive and scalable services
- Experience with service oriented architecture observability database and distributed systems
- Experience with building on top of AWS or GCP cloud services
- Solid understanding of software engineering principles and design patterns
- Strong communication skills and ability to work in a collaborative environment
- Experience working with notebook ecosystems and web-based IDEs. Experience with building and deploy ML software in production to a wide range of infrastructure (CPU/GPU/TPU).
- Big data experience such as Apache Spark Apache Ray
- Some frontend development experience with Javascript / React
- Prior experience building an Notebook solution in a large organization
Required Experience:
Senior IC
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