Data Scientist, Machine Learning

Apple

Apple's Audio Media Technologies group is central to revolutionary audio, video, and graphics innovations across their product range. This role seeks to leverage machine learning to optimize and elevate audio experiences, working at the confluence of cutting-edge audio engineering and user-focused innovation.

In this role you can expect to have the responsibilities:

• Analyze large, complex datasets to derive insights for sound quality and voice recognition improvement.
• Collaborate with engineers to apply machine learning solutions in audio and voice applications.
• Develop and optimize audio experiences across consumer electronics devices.
• Prototype and scale analytical pipelines for insights.
• Build and maintain audio analytics dashboards.

This role comes with the following benefits:

• Comprehensive medical and dental coverage.
• Retirement benefits and a range of product discounts.
• Option to become an Apple shareholder via stock programs.
• Tuition reimbursement for career-related education.
• Potential discretionary bonuses and relocation assistance.

This role requires you to have:

• Strong expertise in applying machine learning to user data for insightful predictions.
• Proficient in data visualization and storytelling using tools like Tableau.
• Expertise in Python, SQL, and ML frameworks such as TensorFlow and PyTorch.
• Experience in developing ETL pipelines and handling large datasets.
• Capability to translate business questions into ML solutions.

You would benefit from having:

• Familiarity with monitoring tools like Splunk.
• Experience with distributed systems such as Cassandra and Spark.
• An interest in audio and digital signal processing.

Apple values diversity and inclusion, actively promoting equal opportunities for all applicants, regardless of background or identity.