AIML - Full Stack Software Engineer, Data & Machine Learning Innovation
Apple
AIML - Full Stack Software Engineer, Data & Machine Learning Innovation
Job Description
We are looking for engineers with a passion for using machine learning to create intelligent applications. Be part of a highly accomplished, deeply technical and close-knit team of machine learning engineers, you will create tools that are used by millions of people. You will design and implement new machine learning algorithms and techniques, and collaborate with the most innovative product development teams in the world. This team builds the infrastructure that enables product teams across Apple to develop machine-learning solutions that power amazingly intelligent user experiences. We are looking for new energetic members to join the ML team. In this role, you will build the infrastructure, tools, and develop machine-learning solutions. You will also have the opportunity to engage with exciting new-product teams around Apple, and use your machine learning skills to solve challenging technical problems in our next generation products that will delight millions of people. As a member of the AIML team, you will design, implement and ship scalable, reliable and easy-to-use machine learning platform and tools that will be used by Apple product teams. You will also collaborate with teams across Apple, who are building the new, compelling intelligent applications in the world. You bring a strong hands-on mentality that enables you to own engineering projects from inception to shipping product. You will also be a trusted advisor for best practice machine learning development.
Locations
- Shanghai, Shanghai, China 200335
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 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
- machine learningintermediate
- design and implement machine learning algorithmsintermediate
- collaborate with product development teamsintermediate
- build infrastructureintermediate
- develop machine-learning solutionsintermediate
- solve challenging technical problemsintermediate
- design, implement and ship scalable machine learning platformintermediate
- own engineering projectsintermediate
- best practice machine learning developmentintermediate
Required Qualifications
- Strong software development skills, with proficiency in Python / C++ (experience)
- Clear understanding of k8s, with practical experience in CI/CD (experience)
- Excellent problem-solving and debugging skills (experience)
- Creative, collaborative & product-focused (experience)
- Strong written and verbal communication skills (experience)
- MS/PhD in Computer Science or equivalent experience (experience)
Preferred Qualifications
- Experienced in building, deploying and running Machine Learning applications or services (experience)
- Experience working with very large scale of data, familiar with data processing frameworks like Airflow, Spark (experience)
- Deep technical skills in machine learning, deep learning, computer vision, natural language processing (experience)
- A real passion for making simple, robust, and scalable platforms used by other engineering teams (experience)
- Understanding or hands-on experience with Apple systems and application development is a big plus (experience)
Responsibilities
- As a member of the AIML team, you will design, implement and ship scalable, reliable and easy-to-use machine learning platform and tools that will be used by Apple product teams. You will also collaborate with teams across Apple, who are building the new, compelling intelligent applications in the world. You bring a strong hands-on mentality that enables you to own engineering projects from inception to shipping product. You will also be a trusted advisor for best practice machine learning development.
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Answer 10 quick questions to check your fit for AIML - Full Stack Software Engineer, Data & Machine Learning Innovation @ Apple.
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AIML - Full Stack Software Engineer, Data & Machine Learning Innovation
Apple
AIML - Full Stack Software Engineer, Data & Machine Learning Innovation
Job Description
We are looking for engineers with a passion for using machine learning to create intelligent applications. Be part of a highly accomplished, deeply technical and close-knit team of machine learning engineers, you will create tools that are used by millions of people. You will design and implement new machine learning algorithms and techniques, and collaborate with the most innovative product development teams in the world. This team builds the infrastructure that enables product teams across Apple to develop machine-learning solutions that power amazingly intelligent user experiences. We are looking for new energetic members to join the ML team. In this role, you will build the infrastructure, tools, and develop machine-learning solutions. You will also have the opportunity to engage with exciting new-product teams around Apple, and use your machine learning skills to solve challenging technical problems in our next generation products that will delight millions of people. As a member of the AIML team, you will design, implement and ship scalable, reliable and easy-to-use machine learning platform and tools that will be used by Apple product teams. You will also collaborate with teams across Apple, who are building the new, compelling intelligent applications in the world. You bring a strong hands-on mentality that enables you to own engineering projects from inception to shipping product. You will also be a trusted advisor for best practice machine learning development.
Locations
- Shanghai, Shanghai, China 200335
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 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
- machine learningintermediate
- design and implement machine learning algorithmsintermediate
- collaborate with product development teamsintermediate
- build infrastructureintermediate
- develop machine-learning solutionsintermediate
- solve challenging technical problemsintermediate
- design, implement and ship scalable machine learning platformintermediate
- own engineering projectsintermediate
- best practice machine learning developmentintermediate
Required Qualifications
- Strong software development skills, with proficiency in Python / C++ (experience)
- Clear understanding of k8s, with practical experience in CI/CD (experience)
- Excellent problem-solving and debugging skills (experience)
- Creative, collaborative & product-focused (experience)
- Strong written and verbal communication skills (experience)
- MS/PhD in Computer Science or equivalent experience (experience)
Preferred Qualifications
- Experienced in building, deploying and running Machine Learning applications or services (experience)
- Experience working with very large scale of data, familiar with data processing frameworks like Airflow, Spark (experience)
- Deep technical skills in machine learning, deep learning, computer vision, natural language processing (experience)
- A real passion for making simple, robust, and scalable platforms used by other engineering teams (experience)
- Understanding or hands-on experience with Apple systems and application development is a big plus (experience)
Responsibilities
- As a member of the AIML team, you will design, implement and ship scalable, reliable and easy-to-use machine learning platform and tools that will be used by Apple product teams. You will also collaborate with teams across Apple, who are building the new, compelling intelligent applications in the world. You bring a strong hands-on mentality that enables you to own engineering projects from inception to shipping product. You will also be a trusted advisor for best practice machine learning development.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Full Stack Software Engineer, Data & Machine Learning Innovation @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs