ML Platform Software Development Engineer - Machine Learning Platform & Technology
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.
Do you want to shape the platform that enables the next generation of intelligent experiences on Apple products & services? Do you want to shape the next generation of ML developer experience ?
The MLPT Lifecycle team is building groundbreaking technology for next generation of ml model development that will alter how apple consumers interact with their devices and information on a daily basis. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to conduct their daily life. Our platform has been used to create models that power you daily interactions like FaceId, Photos Recommendation and Memories and many more.
As part of this group, you will develop the tools, frameworks, systems that all of Apple's ML Engineers use to train, evaluate and track the efficacy of AI features across apple products. You'll help us leverage a combination of human and automated methods to accelerate robust iteration and development of new models and product features.
Description
We are looking for a motivated backend software engineer with in-depth knowledge of restful data intensive application development. You will be working on designing and developing innovative features using micro services architecture for our organization's internal applications and platforms.
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Our ideal candidate must have demonstrated expertise in developing distributed systems, building data storage solutions, designing scalable data integrations and supporting user facing features.
As a team member on this team, you are expected to be comfortable with analyzing business requirements, identifying gaps, and translating requirements into technical designs.
Additionally, you are expected to be proficient in and adhere to the best practices of software development, such as agile development, code reviews, continuous integration, and automated testing.
In this role, you will work closely with project managers, UI/UX designers, and other stakeholders to define requirements, estimate efforts accordingly, and ultimately deliver high quality work on-time.
Preferred Qualifications
Experience with delivering Analytics backend services is a huge plus where exposure to query engines like Trino or equivalent is desired.
Experience with cloud platforms like AWS or GCP
Experience with ML Engineering workflows
Experience with app containerization, tuning, optimization, deployment, and performance of workloads running in a cloud environment (Kubernetes, Docker, Helm)
Minimum Qualifications
Software development skills, with proficiency in Java, Python, SQL is a must. Experience with Scala or Go would be a bonus.
Experience with delivering user experiences in the form of WebServices built using Java and Spring Boot.
Experience with developing and deploying on a Kubernetes based infrastructure is required.
Experience and passion for Data Engineering and Search
Experience with BigData ecosystem Spark, Flink or equivalent
Experience with Solr, Lucene and/or OpenSearch
Experience with event-based messaging systems (Kafka) and workflow orchestration platforms (Airflow)
An intuition for collecting user requirements and translating them into features that deliver clear user value
A passion for making simple, robust, and scalable platforms used by other engineering teams
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 .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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