Machine Learning Engineer, Enterprise GenAI, AiDP
Apple
Machine Learning Engineer, Enterprise GenAI, AiDP
Job Description
Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Ai Data Platform Applied Machine Learning team to pioneer enterprise solutions where generative AI meets Apple's unique commitment to privacy-first innovation. Together, we'll create tools that redefine industries while safeguarding what matters most – our users' trust. As a pivotal member of Apple's enterprise generative AI efforts, you will support the architecture and optimizing backend systems for high availability and scalability. We design and implement scalable RESTful APIs and microservices using Python, Java, or Go. Our team tackles unique challenges in privacy-preserving generation, efficient inference, and multimodal integration. We deliver production-grade models that meet Apple's rigorous standards for quality, performance, and scalability.
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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
- architectureintermediate
- optimizing backend systemsintermediate
- high availabilityintermediate
- scalabilityintermediate
- designing scalable RESTful APIsintermediate
- implementing microservicesintermediate
- Pythonintermediate
- Javaintermediate
- Gointermediate
- privacy-preserving generationintermediate
- efficient inferenceintermediate
- multimodal integrationintermediate
- delivering production-grade modelsintermediate
Required Qualifications
- Bachelor of Science in Computer Science, Machine Learning, or a related quantitative field or equivalent experience (experience)
- 2+ years of hands-on experience in machine learning and backend development in industry (experience, 2 years)
- Experience with microservices architecture and distributed systems (experience)
- Experience in ML frameworks (PyTorch, JAX) for training, fine-tuning, and deploying ML/generative models at scale (experience)
- Proven track record of building enterprise-grade ML pipelines (data prep, distributed training, optimization, monitoring) in cloud environments (AWS, GCP, Azure) or on-prem infrastructure (experience)
Preferred Qualifications
- MS in Computer Science, Machine Learning, or a related quantitative field (experience)
- Deep expertise in one of Enterprise GenAI's critical domain, such as document-AI, LLM, agent, embedding, or search (experience)
- Contributions to major open-source ML frameworks or research communities (experience)
Responsibilities
- As a pivotal member of Apple's enterprise generative AI efforts, you will support the architecture and optimizing backend systems for high availability and scalability. We design and implement scalable RESTful APIs and microservices using Python, Java, or Go. Our team tackles unique challenges in privacy-preserving generation, efficient inference, and multimodal integration. We deliver production-grade models that meet Apple's rigorous standards for quality, performance, and scalability.
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Machine Learning Engineer, Enterprise GenAI, AiDP
Apple
Machine Learning Engineer, Enterprise GenAI, AiDP
Job Description
Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Ai Data Platform Applied Machine Learning team to pioneer enterprise solutions where generative AI meets Apple's unique commitment to privacy-first innovation. Together, we'll create tools that redefine industries while safeguarding what matters most – our users' trust. As a pivotal member of Apple's enterprise generative AI efforts, you will support the architecture and optimizing backend systems for high availability and scalability. We design and implement scalable RESTful APIs and microservices using Python, Java, or Go. Our team tackles unique challenges in privacy-preserving generation, efficient inference, and multimodal integration. We deliver production-grade models that meet Apple's rigorous standards for quality, performance, and scalability.
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 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
- architectureintermediate
- optimizing backend systemsintermediate
- high availabilityintermediate
- scalabilityintermediate
- designing scalable RESTful APIsintermediate
- implementing microservicesintermediate
- Pythonintermediate
- Javaintermediate
- Gointermediate
- privacy-preserving generationintermediate
- efficient inferenceintermediate
- multimodal integrationintermediate
- delivering production-grade modelsintermediate
Required Qualifications
- Bachelor of Science in Computer Science, Machine Learning, or a related quantitative field or equivalent experience (experience)
- 2+ years of hands-on experience in machine learning and backend development in industry (experience, 2 years)
- Experience with microservices architecture and distributed systems (experience)
- Experience in ML frameworks (PyTorch, JAX) for training, fine-tuning, and deploying ML/generative models at scale (experience)
- Proven track record of building enterprise-grade ML pipelines (data prep, distributed training, optimization, monitoring) in cloud environments (AWS, GCP, Azure) or on-prem infrastructure (experience)
Preferred Qualifications
- MS in Computer Science, Machine Learning, or a related quantitative field (experience)
- Deep expertise in one of Enterprise GenAI's critical domain, such as document-AI, LLM, agent, embedding, or search (experience)
- Contributions to major open-source ML frameworks or research communities (experience)
Responsibilities
- As a pivotal member of Apple's enterprise generative AI efforts, you will support the architecture and optimizing backend systems for high availability and scalability. We design and implement scalable RESTful APIs and microservices using Python, Java, or Go. Our team tackles unique challenges in privacy-preserving generation, efficient inference, and multimodal integration. We deliver production-grade models that meet Apple's rigorous standards for quality, performance, and scalability.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Engineer, Enterprise GenAI, AiDP @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs