Job Responsibilities: AIML - ML Research Engineer
Salary: $20-30/Hour
Company: Apple
Location: USA
Educational Requirements: Bachelor's Degree
Full Job Description:
The Siri team is looking for machine learning engineers who are passionate about enabling natural interactions with Siri and delivering this technology to users around the world. Create model training and end-to-end analysis pipelines. Push the boundaries of the latest research developments in speech expression and speaker identification. Deliver machine-learned device models that meet Apple's core values, ensuring the highest standards of quality, innovation and user privacy. And join the creators of the intelligent assistant that helps millions of people around the world get things done through a natural interaction with Siri. You must be creative, hardworking and willing to communicate and collaborate with multiple teams.
Strong coding skills in Python, C/C++; Comfort through repeated testing and coding
Strong background in machine learning applied to deep learning; experience in language, speaker and/or language skills is beneficial
Expert in deep/machine learning techniques (e.g. PyTorch, TensorFlow) and scripting languages (e.g. Python, bash), with a strong foundation in software engineering and interest in optimization and global design systems.
Demonstrated ability to manage technical uncertainty and collaborate with partner groups to solve complex machine learning problems.
Explanation
You will be part of a team focused on applied machine learning, building and delivering models that are constantly evolving at the state of the art. But that's only half the story! In our team, we have end-to-end products and user experience. We measure the impact of our deployed version not only in offline test games, but also in production traffic. We maximize the error rate on the current data. We define new metrics and add them to the data that best represents the next feature we deliver. But sometimes we are restricted by the limitations of computing devices - that is where the ability to innovate will have the greatest impact. You will work closely with a diverse workforce of software engineers and machine learning engineers/scientists. The ideal candidate will do well in both academic and professional engineering, making new research progress and delivering reliable and robust solutions to all devices for all users around the world. all. If you're interested in creating great products and using your skills to expand the core technology that allows Siri to organize and interact in exciting new ways, we can't wait to receive your message.
