Apple is looking for engineers passionate about using machine learning to build and maintain multiple machine learning products that power Siri. The team is responsible for creating high-quality, large-scale datasets that power Apple's next-generation speech models, enabling groundbreaking advancements in speech understanding and generation.
Requirements
- 5+ years of experience in machine learning with focus on automatic speech recognition
- Proficiency in Python and SQL
- Strong problem-solving and data analytical skills
- Experience with large scale data processing (e.g., Spark, Dask, Ray) and a mindset for writing efficient, scalable code
- Understanding of machine learning fundamentals and practical experience with ML frameworks (e.g., PyTorch, TensorFlow)
Responsibilities
- build products that are used by millions of people
- design, build, and refine the systems that turn raw audio into structured, insight-rich data for our modeling partners
- develop the pipelines
- analyze the data's quality and impact
- improve the specialist models that make our automatic annotation possible
- building robust, efficient, and intelligent data solutions
- contribute to shipping models/products to production
Other
- Bachelors, Masters or Ph.D in Computer Science or Engineering or a related field, or equivalent experience
- passionate about using machine learning
- highly accomplished, deeply technical, and close-knit team of machine learning specialists, software engineers, and infrastructure experts
- enthusiastic about building robust, efficient, and intelligent data solutions
- contribute to exciting projects around Apple and use your data science, machine learning, and analytical skills to tackle challenging technical problems and ship novel products that will delight our customers!
