Apple is hiring: AIML - Senior Machine Learning Engineer, Audio Generation, Siri
Apple, Cupertino, CA, United States, 95014
AIML - Senior Machine Learning Engineer, Audio Generation, Siri and Information Intelligence
Cupertino, California, United States
Machine Learning and AI
As part of Apple Intelligence, the 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. This role offers an exciting opportunity to contribute to the advancement of AI systems and shape the future of Artificial Intelligence.
Description
As Siri becomes an increasingly complex AI system, it is critical to understand the impact of each ML model on other dependent models while assessing the impact on the Siri end-user experience. The 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.
You will run experiments, statistically interpret data with a mind on causation, data visualization, and design, build, and evaluate models. You will work with large amounts of real-world data to analyze and propose changes to the Siri user experience, ensuring data quality throughout all stages of acquisition and processing.
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.
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
Key Qualifications
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 a related field is preferred
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 is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
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