AIML - Senior Full-Stack Software Engineer - ML Platform & Technology
Seattle, Washington, United States
Machine Learning and AI
Would you like to join us in building the next generation of machine learning platform powering Apple's intelligent experiences across: hardware, software and service products?
We are looking for senior full stack software engineer who’s passionate about machine learning tooling! Ideal, you need to be proficient in full stack development and skills in: web, mobile or desktop app development. You should have a passion in UX and a strong record of building and shipping applications. You will work closely with an extraordinary ML infra and platform team to build tooling and enable faster integration for bringing ML ideas into Apple products.
Description
Our team is a part of a group within Apple’s ML platform organization, that enables ML teams to support ML lifecycle project, such as: data engineering, labeling, training, online and offline evaluation, experimentation and more.
Within our group, you will closely collaborate with: design, backend infrastructure, ML engineering and project management teams to brainstorm, prototype and bring features into production. Our team takes full ownership of both web frontend and backend projects.
Minimum Qualifications
- Deep knowledge in frontend, backend and cloud technologies like: TypeScript, React, etc.; Golang, GraphQL, SQL/NoSQL databases, ElasticSearch, Kafka etc; AWS, GCP, Azure, K8s etc
- You have a strong and continued record of delivering high impact projects through partnership across organization boundaries with: product, design and infrastructure teams
- You have a minimum of 5 years developing and maintaining rich web applications for data intensive systems
- Bachelors in Computer Science, or in a related field
Key Qualifications
Preferred Qualifications
- Good sense of design and passion for UX and developer experience
- Ability to clearly and concisely communicate about technical and architectural problems and work with key partners to iteratively solve the problems
- Experience in machine learning is a plus but not required
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.