AI/ML - Machine Learning Engineer, Evaluation

1 Day ago • 1 Years + • Research Development • $139,500 PA - $258,100 PA

Job Summary

Job Description

This role involves designing, developing, and maintaining end-to-end web applications and data pipelines to support evaluation workflows for GenAI models. You will work across the full technology stack, including frontend, backend, data, infrastructure, and deployment pipelines, to deliver scalable, reliable, and secure solutions. The ideal candidate is adept at switching between hands-on coding, system architecture discussions, and operational troubleshooting, and is passionate about improving Apple product quality by exploring cutting-edge AI techniques.

Must have:

Bachelor's degree in CS/Eng or equivalent experience
1+ year of Python application development
Proficiency in Python with libraries like Pandas, Streamlit, Flask/Django
Experience with data processing pipelines and command-line navigation
SQL database experience
Strong problem-solving and communication skills

Good to have:

AWS resources experience (S3, EC2, EKS)
CI/CD pipeline experience (Jenkins)
Git and IDE experience
Docker and Kubernetes experience
Generative AI and LLM support experience

Perks:

Employee stock programs
Discretionary restricted stock unit awards
Discounted Apple stock purchase
Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Tuition reimbursement

23 skills required

23 skills required for this role

Add these skills to join the top 1% applicants for this job

problem-solving

github

game-texts

postgresql

mysql

html

macos

linux

aws

mariadb

data-science

pandas

json

ci-cd

docker

flask

kubernetes

django

git

python

sql

jenkins

machine-learning

Job Details

Do you get excited by building ML/AI applications to enhance the evaluation of Apple AI products? Our organization, Data Science & Insights team, is dedicated to guiding product development, decisions and strategies through principled evaluation and rigorous analysis. You will partner with various engineers and data scientists to enable and scale these evaluations and analysis. If you thrive in a dynamic environment, enjoy exploring cutting-edge AI techniques, and are passionate about improving Apple product quality, we’d love to hear from you!

Submit Resume

Back to search results

In this role, you will design, develop, and maintain end-to-end web applications and data pipelines that power evaluation workflows for GenAI models. You’ll work across the entire technology stack—frontend, backend, data, infrastructure, and deployment pipelines—to deliver scalable, reliable, and secure solutions. The ideal candidate is comfortable switching between hands-on coding, system architecture discussions, and operational troubleshooting.

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience), and 1+ year(s) of professional experience building and maintaining python-based applications and tooling (web applications, scripts, REST APIs, databases).
Strong proficiency in Python, and experience building UI apps, scripts, or tools for using libraries such as Pandas, Streamlit, and Flask or Django. Experience with reading app logs or script logs and debugging code, as well as good coding quality practices and knowledge.
Hands-on experience building automated scripts and pipelines to process data from various sources (CSV, JSON, databases, APIs). Able to comfortably navigate Linux or macOS using command-line
Hands-on experience using SQL databases (e.g. PostgreSQL, MySQL/MariaDB, SQLite) to create tables, create indexes and constraints, and writing and running queries.
Excellent problem-solving skills, strong communication, and ability to work collaboratively in a fast-paced environment.

Hands-on experience with common AWS resources (S3, EC2, EKS).
Hands-on experience with CI/CD pipelines (Jenkins, or similar) and writing automated unit tests and applying linting.
Hands-on experience using git and IDEs for development.
Hands-on experience containerizing applications using Docker and deploying on Kubernetes (EKS preferred) or similar.
Hands-on experience supporting developers or teams building Generative AI and LLMs.

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 $139,500 and $258,100, 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.

Submit Resume

Back to search results