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Apple Machine Learning Engineer Natural Language Generation United States, California, Cupertino 303080203
14.04.2025
As a Machine Learning Engineer on our team, you will enable next-generation AI applications by building toolkits and workflows that scale to increasingly sophisticated modeling tasks. You will design the systems that enable seamless iterative refinement of models that enable us to continuously deliver improvements to our customers. You will streamline the modeling process, improving efficacy of data selection, training, and evaluation methodology. Finally, you will help define and refine new features that expand both the depth of Apple Intelligence’s capabilities and the breadth of its support for the full spectrum of Apple customers.Key responsibilities:* Development and maintenance of data and model pipelines that scale to deployment in production* Definition of robust automated evaluation mechanisms to facilitate hillclimbing on model quality* Iteration on models via targeted refinements based on feedback from the field* Failure analysis from user feedback to understand shortcomings of our models and evaluation data* Research into state-of-the-art techniques for improving model quality and robustness* Implementation of experiments and simulations to assess the value of model changes
- MS or PhD in Computer Science or related field with at least 2 years of industry experience
- Strong Python programming skills, with experience developing production-quality Python modules
- Experience building and maintaining model pipelines end-to-end, from data curation to evaluation
- Solid background in machine learning, data science, natural language processing, or statistics
- Expertise in MLOps and a passion for software quality, based on CI/CD principles
- Familiarity with LLMs, such as SFT, RHLF, prompt engineering, data synthesis, automatic evaluation, and RAG
- Excellent written and verbal communication skills
- History of developing Python packages and supporting users and other teams
- Background in linguistics, fluency in multiple languages, or a passion for scaling NLP features for global audiences
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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