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Apple Machine Learning Application Engineer Employee Experience & Productivity United States, Texas, Austin 879732508
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- 4+ years of professional experience as a software engineer in AI or ML platforms.
- 4+ years of professional experience API development for serving generative models using Java, Springboot framework.
- Prior experience of working with machine learning & LLMs.
- 4+ years of professional experience in developing data pipelines and working with streaming data processing frameworks like Apache Kafka, Flink, or Spark.
- Bachelor’s degree in Computer Science or equivalent work experience.
- Proficiency in programming languages such as Java, Python or R.
- Knowledge of data engineering principles, including data preprocessing, ETL processes, and tools.
- Proven track record of working on AI/ML projects from conception to deployment.
- Prior experience with prompt engineering and vector embeddings.
- Knowledge of LLM model architectures - GPT, BERT.
- Experience interfacing with ML Platform team utilizing and integrating ML APIs with applications.
- Familiarity with ML libraries and frameworks, including TensorFlow, PyTorch, Pandas, and Scikit-learn.
- Understanding of RAG and graph-based RAG methodologies.
- Skills in rapid prototyping and experimentation with generative models.
- Experience in performance optimization, particularly in enhancing model performance and inference speed for real-time applications + understanding of RAG and graph-based RAG methodologies.
- Skills in rapid prototyping and experimentation with generative models.
- Experience in performance optimization, particularly in enhancing model performance and inference speed for real-time applications.
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