AIML - Senior Machine Learning Engineer, Audio Generation, Siri and Information Intelligence

$166,600 - $296,300/Yr

Apple - Seattle, WA

Full-time - Senior

Seattle, WA

Computer and Electronic Product Manufacturing

About the position

The Senior Machine Learning Engineer will play a pivotal role in evaluating and enhancing Apple Intelligence products, particularly focusing on the Siri team. This position involves collaborating with cross-functional teams to innovate approaches using audio generation and multimodal foundation models to improve the Siri user experience. The role offers an exciting opportunity to contribute to the advancement of AI systems and shape the future of Artificial Intelligence by working with large datasets and developing advanced evaluation methodologies for machine learning systems.

Responsibilities

• Evaluate and enhance Apple Intelligence products and models.
• Collaborate with cross-functional teams to define innovative approaches using audio generation and multimodal FM.
• Analyze large amounts of real-world data to propose changes to the Siri user experience.
• Run experiments and statistically interpret data with a focus on causation and data visualization.
• Design, build, and evaluate machine learning models.
• Ensure data quality throughout all stages of acquisition and processing.
• Define and measure online and offline end-to-end metrics to communicate and iterate on deployed models.

Requirements

• Knowledge in multimodal foundation models.
• Extensive experience with machine learning frameworks like Tensorflow, PyTorch, and Python.
• Good experience with large-scale data processing and distributed systems.
• Excellent problem-solving, critical thinking, and communication skills.
• Excellent data analytical skills with a proven track record of discovering hidden patterns and conducting error/deviation analysis.

Nice-to-haves

• Expertise in foundation models, LLMs, audio generation, adversarial machine learning, conversational dialogue systems, natural language generation, and question-answering.
• Exposure to model interpretability techniques and their real-world advantages/drawbacks.
• Strong attention to detail.
• B.S., M.S. or Ph.D. in Computer Science, Electrical Engineering or related field.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Discretionary bonuses or commission payments.
• Relocation assistance.