Apple, Inc.
Machine Learning Engineer- Gen AI
Cupertino, California
Sponsorship not specifiedDetected 1 day ago
AlgorithmsCloud PlatformsDockerKubernetesMachine LearningAirflowLLMsRAGStatisticsMechanical DesignElectrical EngineeringResearchMentoringPublic Speaking
About the role
- You will also work closely with data engineers to generate detailed business intelligence solutions.
- You will be expected to conduct presentations of analyses to a wide range of audiences including executives.
Responsibilities
- You will also perform ad-hoc statistical analyses.
Nice to have
- Experience with LLM and LMM development and fine-tuning is a major plus.
- Proficiency in using cutting-edge GenAI tools, i.e. Claude Code, Roo Code, etc.
- Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus.
- Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration.
- Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences.
- Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus.
- Proven experience in leading and mentoring teams is a plus.
- Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Benefits
- Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions.
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This listing is sourced directly from Apple, Inc.'s careers page and normalized into a canonical job model.