Applied Machine Learning Engineer - NLP Apple
Seattle, WA

Job Description

We are looking for applied scientists with a passion for using NLP and machine learning to transform intelligent user experiences. We are a close-knit team of highly accomplished, deeply technical research scientists and machine learning engineers focused on delivering cutting edge technologies that impact millions of users.

5+ years of practical experience applying ML to tackle real-world problems Expertise in at least one area of NLP, deep learning, and machine learning in general. This includes standard tasks (language modeling, question answering, etc.), techniques (transfer learning, transformers, etc.), as well as specific models and tools (BERT, MTDNN, fairseq, fasttext, and spacy). Strong experience in building early stage products, and making them robust and scalable Ability to distill vague product experiences into concrete problem definitions Skilled in explaining and presenting analyses and machine learning concepts to a broad technical audience Creative, collaborative, and innovation focused Consistent track record of building computer vision and machine learning systems Proficiency training large scale models using modern machine learning frameworks (e.g. TensorFlow, PyTorch) Strong fundamentals in problem solving, algorithm design, and model building Passion for adopting new technologies with high product impact Excellent verbal and written communication and presentation skills

As a member of this team, you will use your practical knowledge and experience with NLP, machine learning, and artificial intelligence to take on meaningful technical problems, and collaborate with the most innovative product development teams in the world. You will play a key role in defining, designing, implementing and evaluating algorithms involving unique data and objectives. You will collaborate with highly innovative product teams across Apple, and see projects through to deployment on 1 billion Apple devices worldwide. You will have the opportunity to contribute to every cool project around Apple, and transfer your ideas into solutions for some of the most challenging technical problems in the next generation of Apple products. - Consistent track record of building computer vision and machine learning systems - Proficiency training large scale models using modern machine learning frameworks (e.g. TensorFlow, PyTorch) - Strong fundamentals in problem solving, algorithm design, and model building - Passion for adopting new technologies with high product impact - Excellent verbal and written communication and presentation skills

PhD in Machine learning, Computer Vision, or related field or MS in related field with a strong academic track record 5+ years of research experience in academia or industry, with a solid publication history