Data Scientist, Machine Learning

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Imagine what you could do at Apple! Everyday, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you bring passion and dedication to your job? If so, we are looking for individuals like you. The Audio Media Technologies (AMT) group is at the center of audio, video, and graphics in Apples innovative products, including the iPhone, iPad, Mac, Apple Watch, AirPods, HomePod, Apple TV and Vision Pro. Our work directly impacts the end-user experience through impactful features such as Adaptive Noise Control, Conversation Awareness, FaceTime, Siri, media playback, and Conversation Boost, to name just a few. Were seeking an experienced Data Scientist to join our Audio Technology team, focusing on developing and optimizing audio experiences across our portfolio of consumer electronics. Youll work at the intersection of audio engineering, machine learning, and user experience, analyzing complex datasets to drive improvements in sound quality, noise cancellation, voice recognition, and acoustic performance. Description We are looking for an experienced Machine Learning Engineer/Data Scientist to join our team and help us derive further valuable analytical insights from data, and deploy ML solutions on-device, particularly for audio and voice applications, across our portfolio of consumer devices. You will work at the intersection of audio engineering, machine learning, and user experience, analyzing complex datasets to drive improvements within media haptics, Siri, voice technologies and other use cases of varying sizes and scope. In this role, you will collaborate daily with engineers and leadership across Apples audio teams to enhance audio experiences through ML innovation while maintaining a data-driven approach to product decisions through analytics. A Typical Work Day would be like: Work with large, complex, non-relational datasets to conduct end-to-end analysis that includes problem definition, data gathering, exploratory analysis, hypothesis testing and insight communication with stakeholders. Prototype and productionalize analytical pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of audio data structures and pipelines, advocating for changes where needed for pipeline development. Interact cross-functionally with a wide variety of leaders and teams, and work closely with engineers and product managers to assess improvements and make business recommendations for audio products with convincing data-driven storytelling. Build, maintain and communicate audio analytics dashboards. Minimum Qualifications

• Strong expertise in applying ML to user behavior data and system telemetry for insights and predictions.
• Strong data visualization and storytelling skills using tools like Plotly, Tableau, or similar BI tools.
• Expertise in extracting insights from large telemetry datasets, with strong programming skills in Python, SQL, and ML frameworks (TensorFlow, PyTorch).
• Proven track record of employing analytical/ML methodologies for: User behavior analysis and segmentation, Performance monitoring and anomaly detection, Feature usage analytics and A/B testing and Time series forecasting and trend analysis.
• Background in developing ETL pipelines and working with production logging systems.
• Comfortable working with and delivering complex technical insights across multiple business teams.
• Experience articulating and translating business questions into both ML solutions and analytical insights
• BS degree in Engineering, Statistics, Physics or other related field.

Preferred Qualifications

• Familiarity with Splunk or other monitoring/reporting tools.
• Experience with distributed computation, storage, and workflow management (Cassandra, Spark, Airflow) desired.
• Past experience in the audio domain is preferred.
• A passion for audio, digital signal processing, or related fields highly desired.
• Experience with NoSQL databases a plus.

Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $136,300 and $248,700, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apples discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apples Employee Stock Purchase Plan. Youll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant . Submit Resume

Information :

• Company : Apple
• Position : Data Scientist, Machine Learning
• Location : Cupertino, CA
• Country : US

How to Submit an Application:

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