Machine Learning Engineer

Machine Learning Engineer

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn't have imagined, and now, can't imagine living without. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Apple Inc has the following available in Seattle, Washington:

Design Machine Learning Models

Run on consumer devices for understanding speech and text as part of an interactive real time dialogue system.

Utilize Data Processing Frameworks

Pre-process datasets for training and evaluating ML models using frameworks like Spark.

Build End-to-End Pipelines

Automate data and modeling workflows to achieve rapid prototyping and development of new models.

Adopt Cloud Computing Infrastructure

Integrate the latest cloud computing infrastructure into data and modeling pipelines.

Adopt Latest Neural Architectures

Use the latest neural architectures, such as DNN, RNN, LSTM, Transformer.

Leverage Speech Recognition Systems

Use speech recognition systems, text-based natural language models, and LLMs to generate data and signals for detecting a user's intent to interact with a device.

Analyze Production Datasets

Obtain actionable insights on how to improve model accuracy through modification and augmentation of training data and/or model design.

Deliver ML Models for Real-World Features

Combine all of these skills to deliver ML models for real-world features such as Hey Siri, Just Siri, Back-to-Back Requests, and Apple Intelligence.

40 hours/week. 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 $163,862 - $210,100/yr 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 Apple’s 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 Apple’s Employee Stock Purchase Plan. You’ll 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.

Minimum Qualifications

• Master’s degree or foreign equivalent in Computer Science, Electrical Engineering, Machine Learning, Computer Engineering, or related field and 3 years of work experience in the job offered or related occupation.
• Education and/or experience must include:
• Training speech-based and text-based ML models for interactive dialogue systems
• Utilizing ML neural architectures including DNN, RNN, LSTM, or Transformer
• Analyzing datasets and design ML training recipes to improve accuracy
• Designing pipelines to synthesize ML training data with Large Language Model prompts
• Designing and implementing end-to-end data and machine learning pipelines for training and deployment of ML models
• Utilizing Python modules for machine learning
• Utilizing Spark for large-scale data processing
• Implementing automated deployment pipelines using Jenkins for CI/CD
• Utilizing GitHub for source code management
• Creating and presenting technical documentation

Preferred Qualifications

N/A

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. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation. Apple participates in the E-Verify program in certain locations as required by law. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.