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Apple Senior Applied Scientist - SIML ISE United States, California, Cupertino 338075985
Yesterday
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We are looking for a research engineer with strong ML and Generative modeling skills who can define project goals, work with cross-functional partners, learn quickly, and implement and demonstrate new user experiences using large Foundation models. You will build novel and innovative technology, forge collaborations, and influence multi-functional partners, and adapt and iterate your solutions in a dynamic environment.You will be expected to advance human interaction modeling across various fronts, at a system level, and at a core ML algorithm level. Some of the myriad challenges include perceiving subtle cues in gaze, affect, or prosody, handling deeply interleaved streaming inputs, reasoning over varying temporal contexts, developing memory systems to enable long-term adaptation, generating semantically rich internal representations to enable open-ended downstream tasks, etc. You will be responsible for delivering solutions that can readily be adopted in production pipelines, such as APIs for production-ready ML models or algorithms well integrated into training infrastructure.
- Masters, or Ph.D. in Computer Science, or Computer Engineering; similarly related fields, or comparable professional experience.
- 5+ years of experience building and deploying large ML models
- Expert-level knowledge of SOTA in large auto-regressive transformer models, multi-modal encoders, and representation learning.
- Strong programming skills in Python, maintaining ML code bases grounded in software engineering principles.
- Strong organizational skills and experience working with large cross-functional and diverse teams.
- Experience with multimodal large language models (LLMs).
- Proven track record of deploying innovative ML technologies in production.
- Familiarity with developing ML for resource-constrained devices.
- Publications in peer-reviewed venues in relevant areas.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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