Imagine what you could do here. At Apple new ideas have a way of becoming extraordinary products services and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could accomplish. The people here at Apple dont just create products they create the kind of wonder thats revolutionized entire industries. Its the diversity of those people and their ideas that inspires the innovation that runs through everything we do from amazing technology to industry-leading environmental efforts. nnJoin Apple and help us leave the world better than we found it.
We are seeking a highly capable and dynamic Machine Learning Engineer to work cross-functional in building out a GenAI system in support of Beats and Apple Audio products. The ideal candidate thrives in ambiguity is exceptionally organized relentlessly detail-oriented and an exceptional communicator at all levels of the organization.
3 years experience in machine learning algorithms software engineering and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM).nMasters in Machine Learning Artificial intelligence Computer Science Statistics Operations Research Physics Mechanical Engineering Electrical Engineering or related to travel internationally - up to 10%
Proven experience in GenAI application building with agents and agentic workflows. Experience with LLM and LMM development and applying ML techniques in manufacturing testing or hardware in using cutting-edge GenAI tools i.e. Claude Code Roo Code with distributed computing cloud infrastructure and orchestration tools such as Kubernetes Apache Airflow (DAG) Docker Conductor Ray for LLM training and inference at -on experience with LangChain and LlamaIndex enabling RAG applications and LLM to meaningfully present results of analyses in a clear and impactful manner breaking down complex ML/LLM concepts for non-technical experience in leading and mentoring teams.
Required Experience:
IC
Imagine what you could do here. At Apple new ideas have a way of becoming extraordinary products services and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could accomplish. The people here at Apple dont just create products they create...
Imagine what you could do here. At Apple new ideas have a way of becoming extraordinary products services and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could accomplish. The people here at Apple dont just create products they create the kind of wonder thats revolutionized entire industries. Its the diversity of those people and their ideas that inspires the innovation that runs through everything we do from amazing technology to industry-leading environmental efforts. nnJoin Apple and help us leave the world better than we found it.
We are seeking a highly capable and dynamic Machine Learning Engineer to work cross-functional in building out a GenAI system in support of Beats and Apple Audio products. The ideal candidate thrives in ambiguity is exceptionally organized relentlessly detail-oriented and an exceptional communicator at all levels of the organization.
3 years experience in machine learning algorithms software engineering and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM).nMasters in Machine Learning Artificial intelligence Computer Science Statistics Operations Research Physics Mechanical Engineering Electrical Engineering or related to travel internationally - up to 10%
Proven experience in GenAI application building with agents and agentic workflows. Experience with LLM and LMM development and applying ML techniques in manufacturing testing or hardware in using cutting-edge GenAI tools i.e. Claude Code Roo Code with distributed computing cloud infrastructure and orchestration tools such as Kubernetes Apache Airflow (DAG) Docker Conductor Ray for LLM training and inference at -on experience with LangChain and LlamaIndex enabling RAG applications and LLM to meaningfully present results of analyses in a clear and impactful manner breaking down complex ML/LLM concepts for non-technical experience in leading and mentoring teams.
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar
... View more