Machine Learning Engineer for AI and Search
2 days ago
As a Machine Learning Engineer in Apple's AIML Information Intelligence team, you will be part of creating groundbreaking technology for artificial intelligence, machine learning, and natural language processing.
The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across various Apple products, including Siri, Spotlight, Safari, Messages, and Lookup.
Main Responsibilities- Developing sophisticated ML models using word embeddings and deep learning to understand the quality of matches and natural language processing to understand queries.
- Taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfy their intent and information-seeking needs.
- Working with researchers and data scientists to develop, fine-tune, and evaluate domain-specific Large Language Models for various tasks and applications in Apple's AI-powered products.
- Conducting applied research to transfer cutting-edge research in generative AI to production-ready technologies.
To succeed in this role, you should have:
- Experience in machine learning, deep learning, information retrieval, knowledge graphs, natural language processing, or data mining.
- Proficiency in one of the following languages: Python, Go, Java, C++.
- Excellent knowledge and good practical skills in major machine learning algorithms.
- Excellent data analytical skills.
- Good interpersonal skills and a team player.
- BS in Computer Science or a related field.
- 2+ years of industry experience.
The base salary range for this role is between $143,100 and $264,200 per year, depending on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become Apple shareholders through participation in Apple's discretionary employee stock programs.
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