Apple: Ai/Ml – Senior Machine Learning Engineer, Speech And Audio Systems

SummaryPosted: Jun 8, 2021Role Number:200255421Do you want to maximize your ML skills and speech domain knowledge to play a meaningful role in the next revolution of Natural Language Understanding/Conversational AI?

The Siri Experience team is looking for a high caliber Machine Learning Engineer to define innovative approaches for evaluating speech and audio systems.

You will run experiments, statistically interpret data with a mind on causation, data visualization, plus designing, building, and evaluating models.

Join the team that’s building groundbreaking conversational assistant technologies that already helps millions of people get things done on daily bases.Key Qualifications5+ years of professional work experience developing systems for automatic speech recognition (ASR), speech synthesis, and natural language understandingExcellent programming skills in PythonExtensive experience with machine learning frameworks like Tensorflow, PyTorchGood experience with large-scale data processing and distributed systemsExcellent problem solving, critical thinking, and communication skills.Excellent data analytical skills.

Strong attention to detail.

Proven track record to dive into data to discover hidden patterns and conduct error/deviation analysisDescriptionAs Siri is becoming increasingly complex AI system, it is critical to understand the impact of each ML model on other dependent models, while assessing the impact on Siri end-user experience.

The Siri Experience team owns the development of advanced evaluation methodologies for ML based systems, model interpretability, and experimentation, to ensure that every release delivers an improved Siri user experience.

You will join a team that is redefining computing, creating groundbreaking conversational assistant technologies for both large scale systems and new client devices, and with the people who built the intelligent assistants.We are searching for a talented ML Engineer who is excited by the prospect of working on product-focused team to define new directions for evaluating.

Our Engineers are creative, inspired, innovative, energetic, self motivated people who lead the industry in developing.Are you one of us?Additional RequirementsExpertise in any of the following areas is a BIG plus: adversarial machine learning, conversational dialogue systems, natural language generation, and question-answering.Exposure to model interpretability techniques and their real-world advantages/drawbacksEducation & ExperienceB.S., M.S.

orPh.D.

in Computer Science, Electrical Engineering in the area of Speech/Language Processing or Machine Learning