Address
Form of workSummary
Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
It takes deeply dedicated, intelligent individuals to maintain and exceed the high expectations at Apple. Cloud Technologies App Platform (AP) team is looking for an extraordinary Machine Learning engineer to join our team. You will help design and implement our machine learning strategy to take our developer experience platform to the next level and help accelerate app development inside Apple. We will be collaborating and working with multi-functional teams and applying algorithms to large-scale data.
Key Qualifications
5+ years of overall experience in the software industry focussed on ML
Highly skilled in quantitative programming languages such as Python, R, SQL with distributed stores like S3, Spark, Vector Database
Experience with model deployment for experimentation
Solid understanding and experience in advanced machine learning (ML) algorithms, deep learning, statistics, and large language models.
Solid understanding of transformer architecture, vector embeddings and applying a model to solve various business problems
Ensuring data quality data via analysis, modeling by handling missing values, outliers, evaluating model performance, validating results, and interpreting the outcomes to provide concrete recommendations
Choosing appropriate ML algorithms, training models, and fine-tuning hyper-parameters to achieve the best predictive performance.
Experience with training a model or use of a foundation model and re-training or fine tuning to custom meeds
Ability to meaningfully present results of analyses in a clear and impactful manner. Able to break down sophisticated machine learning model knowledges to digestible information for non-technical audience.
Experience in applying ML techniques in developer productivity is a plus
Description
The Application Platform team provides frameworks, services and developer tools to internal engineering teams in Apple to accelerate their SDLC. We are working on a Generative AI based developer experience platform for internal use and assist our app development team. You will collaborate with Machine Learning engineers, Software engineers, and other Data Scientists to deliver and end to end AI enabled solution for this platform.
Education & Experience
BS in data science or comp science; Masters preferred
Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
It takes deeply dedicated, intelligent individuals to maintain and exceed the high expectations at Apple. Cloud Technologies App Platform (AP) team is looking for an extraordinary Machine Learning engineer to join our team. You will help design and implement our machine learning strategy to take our developer experience platform to the next level and help accelerate app development inside Apple. We will be collaborating and working with multi-functional teams and applying algorithms to large-scale data.
Key Qualifications
5+ years of overall experience in the software industry focussed on ML
Highly skilled in quantitative programming languages such as Python, R, SQL with distributed stores like S3, Spark, Vector Database
Experience with model deployment for experimentation
Solid understanding and experience in advanced machine learning (ML) algorithms, deep learning, statistics, and large language models.
Solid understanding of transformer architecture, vector embeddings and applying a model to solve various business problems
Ensuring data quality data via analysis, modeling by handling missing values, outliers, evaluating model performance, validating results, and interpreting the outcomes to provide concrete recommendations
Choosing appropriate ML algorithms, training models, and fine-tuning hyper-parameters to achieve the best predictive performance.
Experience with training a model or use of a foundation model and re-training or fine tuning to custom meeds
Ability to meaningfully present results of analyses in a clear and impactful manner. Able to break down sophisticated machine learning model knowledges to digestible information for non-technical audience.
Experience in applying ML techniques in developer productivity is a plus
Description
The Application Platform team provides frameworks, services and developer tools to internal engineering teams in Apple to accelerate their SDLC. We are working on a Generative AI based developer experience platform for internal use and assist our app development team. You will collaborate with Machine Learning engineers, Software engineers, and other Data Scientists to deliver and end to end AI enabled solution for this platform.
Education & Experience
BS in data science or comp science; Masters preferred
