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Machine Learning Engineer
2 months ago
We are seeking a talented Machine Learning Engineer to join the Siri Perception team at Apple Inc. and contribute to the development of innovative voice-based experiences that make Siri more intuitive and personal.
Key Responsibilities- Design, develop, and implement machine learning models to power Siri invocation features, including data analysis, experimentation, and modeling to create seamless and intuitive user journeys.
- Conduct experiments to evaluate the performance of machine learning models and identify areas for improvement.
- Conduct error estimation and monitoring distribution shifts to ensure model performance and robustness.
- Collaborate with cross-functional teams to productionize the next generation of machine learning models for Siri invocation.
- Stay up-to-date on the latest advances in machine learning and apply them to Siri's development.
- Bachelor's degree with 1-2 years of work experience or Master's degree in Computer Science, Machine Learning, or a related field.
- Strong programming skills in Python.
- Experience with machine learning frameworks such as TensorFlow or PyTorch.
- Excellent problem-solving, quantitative, and analytical skills.
- Ability to work independently and as part of a team.
- Master's degree or PhD in Computer Science, Machine Learning, or a related field.
- Experience with speech recognition and natural language processing.
- Knowledge of deep learning architectures, including LLMs.
- Experience working on large-scale machine learning projects.
At Apple Inc., we offer a total compensation package that includes a competitive base salary, opportunities for growth and development, and a comprehensive benefits program. The base salary range for this role is between $143,100 and $264,200, and will depend on your skills, qualifications, experience, and location.
Apple Inc. is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
