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Apple Senior Manager Machine Learning Research Engineering United States, Washington, Seattle 752156372
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The vision for the AI/ML FM Data organization is to improve Foundation Models by leveraging data from a variety of sources: crawl, license, vendor and internal crowd-sourcing. As a Sr ML Engineering on the team, you will drive ML innovations, identify key opportunity areas where data can play a crucial role and experiment with various data augmentation strategies to improve model training efficiency and performance..
- Algorithm development: Define signals that are important in prompts, responses and CoT reasoning steps. These usually require a fine-tuned model for specific use cases.- Model evaluation: Understand the importance of a balanced eval-set. Ability to perform error analysis to figure out how to improve model capabilities- Ablation experiments: Test your data augmentation strategies via ablation experiments. Comfortable debugging training errors, and tune hyper-parameters and data mixture to achieve desired outcome.- Data processing and data filtering: Ability to efficiently process and filter very large amounts of data, often times messy.
- 5+ years of hands on ML engineering experiences.
- Master or PhDs in Computer Science, Electric Engineering or Mathematics.
- Have prior experience as an ML modeler/scientist/researcher. Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc), as well as comfortable with more modern deep learning frameworks (PyTorch, Tensorflow, Jax).
- Familiarity with multi-modal data and large models including image and video.
- Possess strong software engineering skills and mindset. Have a high bar for engineering code quality and scalability.
- Hands on experiences with different phases in LLM model training, including LoRA, SFT, RLHF, reward modeling.
- A good communicator with clear and concise, active listening and empathy skills.
- Are self-motivated and curious. Strive to continually learn on the job.
- Have demonstrated creative and critical thinking with an innate drive to improve how things work. Have a high tolerance for ambiguity.
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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