Summary

As part of Apple Intelligence, Siri team is at the forefront of the next revolution in machine learning and NLP. Our innovative product redefines computing by leveraging cutting-edge technologies in audio generation, multimodal FM, and Conversational AI. We are dedicated to creating groundbreaking conversational assistant technologies for both large-scale systems and new devices, building upon our legacy of intelligent assistant solutions that already assist millions of users worldwide. We are seeking a high caliber Senior Machine Learning Engineer to join our dynamic team. The ideal candidate will play a pivotal role in the evaluation and enhancement of our Apple Intelligence products. They will collaborate closely with cross-functional teams to define innovative approaches using audio generation and multimodal FM to evaluate state-of-the-art Apple Intelligence products and models. They will work with large amounts of real-world data to analyze and propose changes to the Siri user experience. This role offers an exciting opportunity to contribute to the advancement of AI systems and shape the future of Artificial Intelligence.

Minimum Qualifications

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.
Proven track record to dive into data to discover hidden patterns and conduct error/deviation analysis

Preferred Qualifications

Expertise in any of the following areas is a BIG plus: 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 is preferred

Description

As 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. Siri 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. The team is searching for talented ML Engineers to work with a passionate, product-focused team to define new approaches for evaluating ML based systems, conversational AI, and model interpretability You will run experiments, statistically interpret data with a mind on causation, data visualization, plus designing, building, and evaluating models. You will work with large amounts of real-world data to analyze and propose changes to Siri user experience. You will ensure data quality throughout all stages of acquisition and processing, data wrangling, etc. Your expertise in defining and measuring the online and offline end-to-end metrics will help communicate, evaluate, and iterate on state-of-the-art deployed models and predictors.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Aiml – Senior Machine Learning Engineer

Audio Generation, Siri and Information Intelligence

Apple

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