AIML-Sr. Machine Learning Engineer, Measurement

Apple Inc.; Seattle (WA); On-site; USD 197,000 - 361,000; Full time

Job summary

An established industry player seeks a Senior Machine Learning Engineer to lead a dynamic team focused on developing innovative frameworks for evaluating machine learning models. This role involves collaborating with top ML leaders and leveraging cutting-edge research to enhance model evaluation processes. You will have the opportunity to mentor a talented team, manage large-scale projects, and drive impactful results. With a competitive compensation package, including stock options and comprehensive benefits, this position offers a chance to thrive in a collaborative and inclusive environment. If you are passionate about machine learning and eager to make a difference, this is the perfect opportunity for you.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Discounted products and free services

Educational reimbursement

Employee stock purchase plan

Discretionary bonuses

Qualifications

• 5+ years of experience in machine learning and data science.
• Proven leadership experience managing teams of engineers.

Responsibilities

• Lead and grow the ML Engineering team focused on frameworks for evaluation.
• Communicate with ML leaders and implement processes for model improvement.

Skills

Machine Learning

Data Science

Model Evaluation

Statistical Methods

Python

Leadership

Communication

Education

Bachelor’s degree in Computer Science

Master’s or PhD in STEM

Tools

TensorFlow

PyTorch

Job description

AIML-Sr. Machine Learning Engineer, Measurement

Seattle, Washington, United States Software and Services

Description

In this role, the individual is expected to lead and grow the ML Engineering team focused on creating frameworks and platforms for evaluating Apple Intelligence. The individual is expected to communicate with ML leaders at Apple, comprehend and utilize the latest research, and adopt, architect, and implement processes and platforms for model evaluation and improvement.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related field.
• 5+ years of experience in machine learning, data science, or related fields, with a focus on model evaluation and validation.
• Proven leadership experience, including managing and mentoring teams of engineers or data scientists.
• Strong understanding of statistical methods, performance metrics, and evaluation frameworks for ML models.
• Hands-on experience with ML tools, libraries, and platforms such as TensorFlow, PyTorch, or similar.
• Proficiency in Python.
• Excellent communication and collaboration skills, with the ability to convey complex technical concepts to both technical and non-technical audiences.
• Demonstrated ability to drive large-scale projects, manage competing priorities, and deliver results.

Preferred Qualifications

• Master’s or PhD in STEM.
• Experience working with large-scale, distributed systems and cloud-based ML pipelines.
• Experience with data analysis tools and techniques for presenting evaluation results.

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 $197,400 and $360,200, 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. 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.