Machine Learning Engineer - Apple Ads
Apple
Machine Learning Engineer - Apple Ads
Job Description
The people here at Apple don’t just build products— they craft the kind of wonder that has revolutionized entire industries. It’s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Imagine what you could do here. Join Apple, and help us leave the world better than we found it! A job at Apple is unlike any other you’ve had. You will be challenged. You will be inspired. And you’ll be proud! At Apple, phenomenal ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish! At Apple, we work every day to create products that enrich people’s lives. Apple Ads makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads, App Store, and Apple News. Our platforms are highly performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. Apple Ads Team is seeking a Machine Learning Engineer who will help build numerous features to advertisers and consumers while simultaneously supporting scalable modelling and continuous experimentation. Apple Ads Engineering team is a diverse, global, agile engineering team that moves smart and fast by consuming and optimizing readily available technology. In this role, you will drive the development, fine-tuning and productionization of large-scale ML models through continuous experimentation. You will design and implement automated ML pipelines for data preprocessing, feature engineering, prompt engineering model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve, thus delivering on Apple's privacy commitments and changing the way advertising works with data.
Locations
- Hyderabad, Telangana, India
Salary
Skills Required
- Machine Learningintermediate
- fine-tuning large-scale ML modelsintermediate
- productionization of ML modelsintermediate
- continuous experimentationintermediate
- design and implementation of automated ML pipelinesintermediate
- data preprocessingintermediate
- feature engineeringintermediate
- prompt engineeringintermediate
- model trainingintermediate
- hyper-parameter tuningintermediate
- model evaluationintermediate
- rapid experimentation and iterationintermediate
- define and refine architecturesintermediate
- scalable modellingintermediate
Required Qualifications
- 3+ years of experience in building machine learning models. (experience, 3 years)
- Proficiency in data processing technologies (e.g Kafka, Spark, Flink) (experience)
- Experience building and fine-tuning machine learning models (experience)
- Prior experience with Python & Java/Scala/C++ or equivalent. (experience)
- Experience with the model development lifecycle (experience)
- Experience with machine learning libraries and frameworks (experience)
- Experience writing machine learning applications and mission-critical code for production machine learning systems (experience)
- Experience building and scaling cloud-based architectures (experience)
- Experience building AI/ML tooling and/or infrastructure (experience)
- Experience working on distributed systems where scalability and performance are critical (experience)
- Pride in building tools to automate routine tasks, organised & detailed (experience)
- Familiarity with cloud paradigms (e.g AWS or GCP) (experience)
- Strong problem-solving and debugging skills. (experience)
- Have the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams. (experience)
- A desire to work in a fast-paced and challenging work environment. (experience)
Preferred Qualifications
- 5+ years of experience in building large scale distributed systems. (experience, 5 years)
- Results oriented with a desire to work in a fast-paced and collaborative work environment (experience)
- Prior experience in the advertising industry is a plus (experience)
- BS, MS or PhD, or equivalent experience, in Machine Learning, Statistics, Control Theory, Forecasting, Optimisation, Reinforcement Learning or related field with experience building large-scale production systems (experience)
Responsibilities
- Apple Ads Engineering team is a diverse, global, agile engineering team that moves smart and fast by consuming and optimizing readily available technology. In this role, you will drive the development, fine-tuning and productionization of large-scale ML models through continuous experimentation. You will design and implement automated ML pipelines for data preprocessing, feature engineering, prompt engineering model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve, thus delivering on Apple's privacy commitments and changing the way advertising works with data.
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Answer 10 quick questions to check your fit for Machine Learning Engineer - Apple Ads @ Apple.
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Machine Learning Engineer - Apple Ads
Apple
Machine Learning Engineer - Apple Ads
Job Description
The people here at Apple don’t just build products— they craft the kind of wonder that has revolutionized entire industries. It’s the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Imagine what you could do here. Join Apple, and help us leave the world better than we found it! A job at Apple is unlike any other you’ve had. You will be challenged. You will be inspired. And you’ll be proud! At Apple, phenomenal ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish! At Apple, we work every day to create products that enrich people’s lives. Apple Ads makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads, App Store, and Apple News. Our platforms are highly performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. Apple Ads Team is seeking a Machine Learning Engineer who will help build numerous features to advertisers and consumers while simultaneously supporting scalable modelling and continuous experimentation. Apple Ads Engineering team is a diverse, global, agile engineering team that moves smart and fast by consuming and optimizing readily available technology. In this role, you will drive the development, fine-tuning and productionization of large-scale ML models through continuous experimentation. You will design and implement automated ML pipelines for data preprocessing, feature engineering, prompt engineering model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve, thus delivering on Apple's privacy commitments and changing the way advertising works with data.
Locations
- Hyderabad, Telangana, India
Salary
Skills Required
- Machine Learningintermediate
- fine-tuning large-scale ML modelsintermediate
- productionization of ML modelsintermediate
- continuous experimentationintermediate
- design and implementation of automated ML pipelinesintermediate
- data preprocessingintermediate
- feature engineeringintermediate
- prompt engineeringintermediate
- model trainingintermediate
- hyper-parameter tuningintermediate
- model evaluationintermediate
- rapid experimentation and iterationintermediate
- define and refine architecturesintermediate
- scalable modellingintermediate
Required Qualifications
- 3+ years of experience in building machine learning models. (experience, 3 years)
- Proficiency in data processing technologies (e.g Kafka, Spark, Flink) (experience)
- Experience building and fine-tuning machine learning models (experience)
- Prior experience with Python & Java/Scala/C++ or equivalent. (experience)
- Experience with the model development lifecycle (experience)
- Experience with machine learning libraries and frameworks (experience)
- Experience writing machine learning applications and mission-critical code for production machine learning systems (experience)
- Experience building and scaling cloud-based architectures (experience)
- Experience building AI/ML tooling and/or infrastructure (experience)
- Experience working on distributed systems where scalability and performance are critical (experience)
- Pride in building tools to automate routine tasks, organised & detailed (experience)
- Familiarity with cloud paradigms (e.g AWS or GCP) (experience)
- Strong problem-solving and debugging skills. (experience)
- Have the ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams. (experience)
- A desire to work in a fast-paced and challenging work environment. (experience)
Preferred Qualifications
- 5+ years of experience in building large scale distributed systems. (experience, 5 years)
- Results oriented with a desire to work in a fast-paced and collaborative work environment (experience)
- Prior experience in the advertising industry is a plus (experience)
- BS, MS or PhD, or equivalent experience, in Machine Learning, Statistics, Control Theory, Forecasting, Optimisation, Reinforcement Learning or related field with experience building large-scale production systems (experience)
Responsibilities
- Apple Ads Engineering team is a diverse, global, agile engineering team that moves smart and fast by consuming and optimizing readily available technology. In this role, you will drive the development, fine-tuning and productionization of large-scale ML models through continuous experimentation. You will design and implement automated ML pipelines for data preprocessing, feature engineering, prompt engineering model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve, thus delivering on Apple's privacy commitments and changing the way advertising works with data.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Engineer - Apple Ads @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs