Senior Machine Learning Engineer - Experimentation

Apple Inc.; New York (NY); On-site; USD 175,000 - 313,000; Full time

Job summary

Join a forward-thinking company as a Senior Machine Learning Engineer, where you will partner with business leaders to design and implement user-facing features for a cutting-edge experimentation platform. This role emphasizes a culture of observability, reliability, and scalability while promoting best practices across the organization. With a focus on data-driven decision-making, you will balance short-term wins with long-term success, contributing significantly to the growth and value delivered to customers. If you are passionate about machine learning and thrive in fast-paced environments, this opportunity is perfect for you.

Benefits

Stock Programs

Medical/Dental Coverage

Retirement Plans

Educational Reimbursement

Relocation Assistance

Qualifications

• 10+ years in web application development with strong data structures knowledge.
• Experience deploying Machine Learning models and A/B testing infrastructure.

Responsibilities

• Design and implement user-facing features for experimentation platform.
• Promote experimentation best practices and execute on the roadmap.

Skills

Web Application Development

Machine Learning Model Deployment

A/B Testing Infrastructure

Python

Java

Scala

SQL

NoSQL

Data Structures and Algorithms

Observability Tools

Education

Degree in Computer Science

Degree in Statistics

Degree in Applied Math

Tools

Spark

DataDog

Splunk

Job description

Senior Machine Learning Engineer - Experimentation

Location: New York City, New York, United States | Sector: Software and Services

Role Overview: Partner with business leaders and stakeholders to design, implement, and evolve user-facing features of the multivariate experimentation platform. Promote experimentation best practices across the organization. Execute on the experimentation roadmap and future integrations with data-driven prioritization. Make thoughtful decisions in ambiguous situations, balancing short-term wins with long-term success. Contribute to a culture emphasizing observability, reliability, scalability, and productivity. Join a team committed to growth and delivering value to customers and Apple.

Minimum Qualifications

• 10+ years in web application development with strong understanding of data structures and algorithms.
• Experience deploying Machine Learning models to production, including data processing with Spark.
• Experience with A/B testing infrastructure, multivariate experimentation, and metrics analysis.
• Proficiency in Python, Java, Scala, and other relevant programming languages supporting Machine Learning.
• Knowledge of causal machine learning tools and technologies.
• Experience with SQL and NoSQL databases.
• Familiarity with observability tools like DataDog or Splunk for system monitoring.
• Ability to optimize system performance using data structures and algorithms.
• Understanding of the full software development lifecycle.
• Experience working in cross-functional teams.
• Familiarity with simulation tools and technologies.
• Ability to communicate complex concepts clearly and concisely to drive action.

Preferred Qualifications

• Degree in Computer Science, Statistics, Applied Math, or related field.
• 10+ years building scalable applications in industry.
• Ownership-driven, curious, and proactive attitude towards projects.
• Excellent communication, social, and presentation skills.
• Interest in working in fast-paced, challenging environments.
• Experience with advanced statistical and causal inference is a plus.
• Experience collaborating with UX designers during the prototyping phase.
• Experience in building high-performance experimentation systems is a plus.

Compensation & Benefits: The base pay range is $175,800 to $312,200, depending on skills and experience. Additional benefits include stock programs, medical/dental coverage, retirement plans, educational reimbursement, bonuses, and relocation assistance. Learn more about Apple Benefits.

Equal Opportunity: Apple is 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 about your EEO rights.