Machine Learning Engineer, Siri Speech
Role details
Job location
Tech stack
Job description
role, you will design and develop machine learning models, fine tune deep learning systems for speaker recognition and multimodal understanding, and collaborate across software engineering, data science, and product to integrate solutions into production.
Requirements
At the Siri Speech team, you will drive research and development for natural voice interaction, investigating new approaches and fine tuning deep learning models. You will design, develop, and implement machine learning models across speech, NLP, and multimodal applications, integrate ML solutions into existing workflows and large-scale systems, and work with large quantities of data to create production-quality models at scale. You will write clean, efficient, well-documented code, participate in code reviews, and mentor junior team members. Collaboration with cross-functional partners to define requirements and deliver high-quality solutions is essential. You will contribute to research initiatives and stay current with advancements in ML, HCI, LLMs, speech recognition, and signal processing. You should be passionate about creating and shipping phenomenal products and thrive in a fast-paced environment with rapidly changing priorities.
Strong proficiency in Python; good coding skills in bash scripting, and any OOP/functional language such as Java, C, C++, Go, Rust etc.\nExperience with machine learning algorithms and techniques, including deep learning.\nHands-on experience with TensorFlow and/or PyTorch; familiarity with scikit-learn.\nExperience with version control systems such as Git.\nGood knowledge in machine learning technologies related to speech and audio processing; experience with image processing is a plus.\nStrong problem-solving skills and ability to work independently as well as in a team environment.\nExcellent written and verbal communication skills.
M.S in Computer Science or related field, or Bachelor's degree with equivalent experience.