Software Engineer (AML), AI & Data Platforms (AiDP)
Job Location:
Job Location:
Austin, TX - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
Yesterday
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world Join Apples Information Systems and Technology (ISu0026T) organization. ISu0026T is the engine behind everything Apple does for customers and for the people who build for them. Its Apples central nervous system. Supporting 2.5 billion active Apple devices processing billions of secure transactions and keeping the technology that defines modern life running flawlessly ISu0026T makes the impossible feel you love building solutions to handle global complexity and immense scale Imagine what you could do u0026 Data Platforms (AiDP) is ISu0026Ts engine for AI-powered innovation. The team brings together data application development and machine learning including generative AI along with data services and customer success functions to help ISu0026T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
As a Machine Learning Engineer you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apples products and services. You will implement robust scalable ML infrastructure including data storage processing and model serving components to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering data augmentation prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing feature engineering model training hyper-parameter tuning and model evaluation enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. There are massive opportunities for you deliver impactful influences to Apple.
BS in Computer Science or related field or 3 years of machine learning engineering experience in feature engineering model training model serving model monitoring and model refresh developing AI/ML systems at scale in production or in high-impact research about computer vision natural language processing especially in LLMs and Generative AI with the common frameworks and tools such as PyTorch or TensorFlow.
Experience in Anomaly detection and forecasting u0026 related methodologies nnExperience and proficiency in python u0026 writing efficient SQLs. nnStrong coding and software engineering skills and familiarity with software engineering principles around testing code reviews and experience with transformer models such as BERT GPT etc. and a proven understanding of their underlying principles is a plusnnData Visualization Tools: Proficient in data visualization with experience in software such as Superset Streamlit Tableau Business Objects and Looker
As a Machine Learning Engineer you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apples products and services. You will implement robust scalable ML infrastructure including data storage processing and model serving components to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering data augmentation prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing feature engineering model training hyper-parameter tuning and model evaluation enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. There are massive opportunities for you deliver impactful influences to Apple.
BS in Computer Science or related field or 3 years of machine learning engineering experience in feature engineering model training model serving model monitoring and model refresh developing AI/ML systems at scale in production or in high-impact research about computer vision natural language processing especially in LLMs and Generative AI with the common frameworks and tools such as PyTorch or TensorFlow.
Experience in Anomaly detection and forecasting u0026 related methodologies nnExperience and proficiency in python u0026 writing efficient SQLs. nnStrong coding and software engineering skills and familiarity with software engineering principles around testing code reviews and experience with transformer models such as BERT GPT etc. and a proven understanding of their underlying principles is a plusnnData Visualization Tools: Proficient in data visualization with experience in software such as Superset Streamlit Tableau Business Objects and Looker
Required Experience:
IC
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
