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Machine Learning Research Engineer, Input Experience, Apple Intelligence
ML Engineer
Lead research and development of advanced machine learning models for input experience, leveraging Python, TensorFlow, and NLP to innovate Apple’s next‑generation user interfaces and services.
About the role
Key Responsibilities
- Design, prototype, and deploy state‑of‑the‑art deep learning models that enhance input experience across Apple products.
- Collaborate with cross‑functional teams to translate user research into scalable ML solutions.
- Conduct rigorous experimentation, A/B testing, and performance analysis to iterate on model accuracy and latency.
- Integrate models into production pipelines using AWS services and maintain robust monitoring and logging.
- Publish research findings and contribute to internal knowledge sharing.
Requirements
- PhD or Master’s in Computer Science, Machine Learning, or related field with 3+ years of industry experience.
- Proficiency in Python, TensorFlow/PyTorch, and experience with large‑scale NLP datasets.
- Strong background in deep learning architectures, model optimization, and deployment at scale.
- Hands‑on experience with AWS services (SageMaker, EC2, S3) and CI/CD pipelines.
- Excellent communication skills and a passion for pushing the boundaries of user experience.
Skills
pythonmachine learningdeep learningtensorflownlpaws