Senior ML Infrastructure Engineer

Apple Inc.; Cupertino (CA); On-site; USD 175,000 - 265,000; Full time

Job summary

A leading technology company is seeking a Data and Tooling team member to build and improve the data infrastructure necessary for machine learning projects. Ideal candidates will have extensive experience in software development, solid knowledge of algorithms, and a strong background in programming with Python. This role offers a competitive salary and comprehensive benefits, fostering a collaborative environment across engineering and operations teams.

Benefits

Comprehensive medical and dental coverage

Employee stock programs

Tuition reimbursement for education

Discounted products and free services

Retirement benefits

Discretionary bonuses or commission payments

Relocation assistance

Qualifications

• 4+ years of relevant industry experience.
• Experience in developing and debugging software service stacks.
• Excellent interpersonal skills to work independently and cross-functionally.

Responsibilities

• Participate in creating data and infrastructure for ML development.
• Drive services and data products through conception, design, and implementation.
• Work closely with ML Modeling teams and cross-functionally.

Skills

Algorithms

Data Structures

System Design

Python

Docker

Cloud Infrastructure

Spark

Education

Bachelors degree in Computer Science

Bachelors degree in Engineering

Equivalent industry experience

Job description

Cupertino, California, United States Software and Services

Description

As part of the Data and Tooling team, you will help us create the data and infrastructure ecosystem needed to support our ML development and continuously improve our features.We take full end-to-end ownership of our services and data products, driving them through every stage meticulously, encompassing conception, design, implementation, deployment, and maintenance. As a result, each one of us takes our responsibilities seriously. In this team, you’ll have the opportunity to work on complex problems in close partnership with our ML Modeling teams, Infrastructure, Software, Hardware and Operations.

Minimum Qualifications

• At least 4+ years of relevant industry experience with the following:
• Strong background in computer science: algorithms, data structures and system design
• In-depth knowledge and experience with the following technologies: Python, Docker, Cloud Infrastructure, Spark
• Expertise in developing and debugging software service stacks
• Excellent interpersonal skills able to work independently as well as cross-functionally
• Bachelors degree in Computer Science, Engineering, or related discipline, or equivalent industry experience

Preferred Qualifications

• Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow
• Familiar with workflow orchestrators like Airflow or Kubeflow
• Developed tools and services to optimize ML systems beyond model selection

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 $175,800 and $264,200, 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 .