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Staff Machine Learning Engineer/Scientist, Siri and Information Intelligence
2 months ago
We are seeking a highly skilled Machine Learning Engineer/Scientist to join our Siri and Information Intelligence team at Apple Inc. As a key member of our team, you will be responsible for developing and deploying cutting-edge machine learning models to improve the accuracy and relevance of Siri's responses.
Key Responsibilities- Analyze search ranking and relevance requirements to identify opportunities for improvement
- Design and implement deep learning models using PyTorch, TensorFlow, and JAX to improve search relevance and ranking
- Collaborate with cross-functional teams to understand product requirements and translate them into modeling tasks and engineering tasks
- Develop and deploy machine-learned models for search relevance ranking, query understanding, and questioning
- Publish and present research in top NLP conferences such as EMNLP and NAACL
- Experience in machine learning and deep learning, with a focus on natural language processing and information retrieval
- Mastery of one of the following languages: Python, Go, Java, C++
- Strong coding skills and solid understanding of algorithms, data structures, and distributed system design
- Excellent interpersonal skills and demonstrated ability to work independently as well as in a team
- Excellent practical skills with and state of the art knowledge of major machine learning algorithms
BS, MS, or Ph.D in Computer Science, Machine Learning, or related field
Additional Requirements- Experience with large scale search and machine learning systems
At Apple Inc., we offer a comprehensive compensation package, including base pay, discretionary bonuses, and commission payments. We also provide benefits such as comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services. Additionally, this role may be eligible for discretionary relocation assistance.
Apple Inc. is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
