AI/ML - Machine Learning Engineer, Evaluation
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
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!
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.
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.
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.
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