As an Applied AIML Engineering Manager you will have the responsibility of leading a highly talented team of engineers dedicated to pushing the boundaries of how AI and ML can be leveraged to better serve our customers focusing on Services such as Apple TV Apple Music Apple Arcade Apple One and the App Store. You will be at the forefront of designing developing and deploying cutting-edge AIML solutions including via Generative AI that directly impact our products and provide a granular understanding of customer preferences and user value drivers. You will also be instrumental in defining the technical vision strategy and execution roadmap for our AIML initiatives ensuring that we deliver high-quality scalable and impactful models that solve complex customer acquisition and engagement challenges. Beyond technical leadership you will be a key driver in fostering a vibrant culture of AIML innovation continuous learning and collaborative problem-solving within your team.
- Masters degree in Computer Science Artificial Intelligence Machine Learning Mathematics Engineering or a related technical field
- 3 years of experience in a leadership or management role leading Machine Learning Engineers and Software Engineers
- 5 years of experience in a machine learning or software engineering role
- Familiarity with emerging AIML technologies including Generative AI and AI Agents
- Proven track record of successfully delivering complex AIML projects from conception to production
- Deep understanding of machine learning algorithms deep learning frameworks and statistical modeling
- Proficiency in programming languages such as Python SQL Java or C
- Experience with cloud platforms Spark Docker and MLOps tools and best practices
- Strong understanding of data structures algorithms and distributed systems
- Excellent communication collaboration and presentation skills with meticulous attention to detail
- PhD in related field
- Hands-on experience leveraging Generative AI to improve customer-facing experiences preferably for an internet technology company
- Curious business attitude with an ability to condense complex concepts and models into clear and concise takeaways that drive action
Required Experience:
Manager
As an Applied AIML Engineering Manager you will have the responsibility of leading a highly talented team of engineers dedicated to pushing the boundaries of how AI and ML can be leveraged to better serve our customers focusing on Services such as Apple TV Apple Music Apple Arcade Apple One and the ...
As an Applied AIML Engineering Manager you will have the responsibility of leading a highly talented team of engineers dedicated to pushing the boundaries of how AI and ML can be leveraged to better serve our customers focusing on Services such as Apple TV Apple Music Apple Arcade Apple One and the App Store. You will be at the forefront of designing developing and deploying cutting-edge AIML solutions including via Generative AI that directly impact our products and provide a granular understanding of customer preferences and user value drivers. You will also be instrumental in defining the technical vision strategy and execution roadmap for our AIML initiatives ensuring that we deliver high-quality scalable and impactful models that solve complex customer acquisition and engagement challenges. Beyond technical leadership you will be a key driver in fostering a vibrant culture of AIML innovation continuous learning and collaborative problem-solving within your team.
- Masters degree in Computer Science Artificial Intelligence Machine Learning Mathematics Engineering or a related technical field
- 3 years of experience in a leadership or management role leading Machine Learning Engineers and Software Engineers
- 5 years of experience in a machine learning or software engineering role
- Familiarity with emerging AIML technologies including Generative AI and AI Agents
- Proven track record of successfully delivering complex AIML projects from conception to production
- Deep understanding of machine learning algorithms deep learning frameworks and statistical modeling
- Proficiency in programming languages such as Python SQL Java or C
- Experience with cloud platforms Spark Docker and MLOps tools and best practices
- Strong understanding of data structures algorithms and distributed systems
- Excellent communication collaboration and presentation skills with meticulous attention to detail
- PhD in related field
- Hands-on experience leveraging Generative AI to improve customer-facing experiences preferably for an internet technology company
- Curious business attitude with an ability to condense complex concepts and models into clear and concise takeaways that drive action
Required Experience:
Manager
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