Apple - San Francisco, CA

posted about 2 months ago

Full-time - Mid Level
San Francisco, CA
Computer and Electronic Product Manufacturing

About the position

As a Machine Learning Engineer on the Siri Perception team at Apple, you will be at the forefront of revolutionizing how users interact with technology through voice-based experiences. This role is pivotal in developing the next generation of Siri, particularly focusing on the innovative Back to Back feature, which allows Siri to discern when a user is speaking to it without the need for activation phrases like "Siri" or "Hey Siri." Your expertise in machine learning will be essential in designing, developing, and implementing algorithms that enhance Siri's understanding and responsiveness to user queries in real-time. In this position, you will engage in a variety of tasks that include the design and implementation of machine learning models specifically tailored for Siri's invocation features. This will require a strong emphasis on data analysis, experimentation, and modeling to create seamless and intuitive user journeys. You will also be responsible for conducting experiments to evaluate the performance of these models, identifying areas for improvement, and ensuring the robustness of the models through error estimation and monitoring distribution shifts. Collaboration is key in this role, as you will work closely with cross-functional teams to productionize the next generation of machine learning models for Siri invocation. Staying abreast of the latest advancements in machine learning and applying these insights to Siri's development will be crucial for your success in this position. Your contributions will directly impact the user experience and the overall functionality of Siri, making this a highly rewarding opportunity for a talented Machine Learning Engineer.

Responsibilities

  • Design and implement machine learning models to enhance Siri invocation features.
  • Conduct data analysis and experimentation to create seamless user journeys.
  • Evaluate the performance of machine learning models and identify areas for improvement.
  • Monitor distribution shifts and conduct error estimation to ensure model robustness.
  • Collaborate with cross-functional teams to productionize machine learning models for Siri.
  • Stay updated on the latest advancements in machine learning and apply them to Siri's development.

Requirements

  • Proven experience in machine learning and data analysis.
  • Strong programming skills in languages such as Python or Java.
  • Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Ability to conduct experiments and analyze data effectively.
  • Familiarity with real-time systems and performance evaluation.

Nice-to-haves

  • Experience with voice recognition technologies.
  • Knowledge of natural language processing (NLP) techniques.
  • Familiarity with cloud computing platforms (e.g., AWS, Google Cloud).
  • Experience in working with cross-functional teams.

Benefits

  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • Discounted products and free services.
  • Reimbursement for certain educational expenses, including tuition.
  • Discretionary bonuses or commission payments.
  • Relocation assistance.
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