Software and Machine Learning MS.c Student

In this role, you will join a team of researchers and engineers developing smart solutions for data handling during training, validation and evaluation to improve the performance of models and complicated systems for cutting-edge Apple products. You will contribute to the entire system lifecycle from data retrieval to automation of pipelines and model’s success for depth and 3D applications Minimum Qualifications Student pursuing Master's degree in Computer Science, Electrical Engineering, Software Engineering, or related field with ML focus Independent, self-motivated with strong creativity and innovation skills Strong analytical thinking and problem-solving abilities Strong coding skills Experience with Python and machine learning frameworks Familiarity with version control systems (Git) and collaborative development workflows Understanding of software development best practices and code review processes Preferred Qualifications Experience with cloud platforms (AWS) and distributed computing Familiarity with data storage solutions (AWS S3, data lakes, distributed file systems) Experience with containerization (Docker) and orchestration tools Knowledge of Foundation Models and/or Large Language Models Familiarity with LLM application frameworks (Hugging Face, OpenAI APIs) Experience with data pipelines Understanding of ML ops and deployment practices