AIML - Sr Machine Learning Engineer, Data and ML Innovation

Apple Inc.; Seattle (WA); On-site; USD 166,000 - 297,000; Full time

Job summary

An innovative technology leader is seeking a Senior Machine Learning Engineer to join their dynamic team in Seattle. This role is pivotal in shaping the future of user interactions through advanced machine learning models. You will work on algorithm development, model evaluation, and data processing, impacting millions of users globally. The ideal candidate will have a strong background in ML engineering, a Master's or PhD in a relevant field, and experience with both classic and modern ML frameworks. Join a forward-thinking company that values creativity, collaboration, and continuous learning, offering competitive compensation and comprehensive benefits.

Benefits

Stock Options

Health Coverage

Retirement Plans

Educational Reimbursement

Employee Discounts

Qualifications

• 5+ years of hands-on ML engineering experience required.
• Familiarity with classic algorithms and modern frameworks essential.

Responsibilities

• Develop algorithms for enhancing user experiences through ML.
• Conduct evaluations and error analysis to improve models.

Skills

Machine Learning Engineering

Algorithm Development

Model Evaluation

Data Processing

Software Engineering

Communication Skills

Education

Master's or PhD in Computer Science

Master's or PhD in Electrical Engineering

Master's or PhD in Mathematics

Tools

PyTorch

TensorFlow

Jax

Job description

AIML - Sr Machine Learning Engineer, Data and ML Innovation

Seattle, Washington, United States | Machine Learning and AI

Description

We are seeking experienced professionals with a proven track record in building models and model-driven products to enhance user experiences. Join us to impact hundreds of millions of customers through billions of interactions with foundation model-powered Apple Intelligence features available on iPhone, iPad, HomePod, Mac, Watch, CarPlay, and TV across more than 30 languages.

1. Algorithm development: Define signals important in prompts, responses, and Chain of Thought (CoT) reasoning steps, often requiring fine-tuned models for specific use cases.
2. Model evaluation: Conduct balanced evaluations, perform error analysis, and identify improvements for model capabilities.
3. Ablation experiments: Test data augmentation strategies, debug training errors, and tune hyperparameters and data mixtures to achieve desired outcomes.
4. Data processing and filtering: Efficiently process and filter large, often messy, datasets.

Minimum Qualifications

• 5+ years of hands-on ML engineering experience.
• Master's or PhD in Computer Science, Electrical Engineering, or Mathematics.
• Experience as an ML modeler/scientist/researcher, familiar with classic algorithms (SVM, Random Forest, Naive Bayes, KNN) and modern frameworks (PyTorch, TensorFlow, Jax).
• Familiarity with multi-modal data, including image and video.
• Strong software engineering skills, with a focus on code quality and scalability.

Preferred Qualifications

• Experience with LLM training phases such as LoRA, SFT, RLHF, and reward modeling.
• Effective communication skills, including active listening and empathy.
• Self-motivated, curious, and eager to learn continually.
• Creative and critical thinker with a drive to improve processes and a high tolerance for ambiguity.

At Apple, compensation includes base salary within a range ($166,600 - $296,300), with opportunities for growth, stock options, bonuses, and comprehensive benefits such as health coverage, retirement plans, educational reimbursement, and discounts. Eligibility for these benefits depends on specific criteria.

Apple is an equal opportunity employer committed to diversity and inclusion. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other protected characteristics. Learn more about your EEO rights as an applicant.