Senior ML Engineer at Apple

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Mar, 26

Salary

0.0

Posted On

23 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Processing, Java, Scala, Go, APIs, Cloud Environments, Fault-Tolerance, Availability, MPP Query Engines, Open Source, Kubernetes, Docker, Software as a Service, Creative Problem-Solving, Scalable Systems, High-Performance Systems

Industry

Computers and Electronics Manufacturing

Description

Do you love solving complex challenges? Are you an inventive self-starter who takes pride in making ideas come to life on a global scale? Are you passionate about developing data platforms using creative algorithms to process petabytes of data with very low latency? If so, join the ASE Data Platform team to design and build scalable data platform services that are used across Apple. As part of Apple Services Engineering, you will have a meaningful role in designing, developing, and deploying high-performance systems that handle billions of transactions daily. This enormous scale brings challenges that require extraordinarily creative problem-solving. We are seeking engineers who are passionate about creating data-driven products. This role requires a deep understanding of developing products that are highly scalable, highly available, and fault-tolerant. DESCRIPTION We are building and supporting critical infrastructure systems and frameworks that provide and support services such as structured and unstructured storage, caching, queuing, searching, querying, and more. We are looking for a strong, enthusiastic developer to join as a member of this group. This person will have a tremendous amount of individual responsibility and influence over the direction of many critical Apple internet services for years to come. You are someone with ideas and a real passion for software delivered as a service to improve reuse, efficiency, and simplicity. This engineer's work will impact the success of some of Apple's most visible current and future features. MINIMUM QUALIFICATIONS 5+ years experience in data processing ecosystems Coding experience in Java/Scala/Go, preferably with critical, large-scale distributed systems Experience in designing and developing stateless APIs using HTTP and similar protocols to support service-oriented software distribution across multiple cloud environments Ability to design large-scale, complex applications with excellent run-time characteristics such as low latency, fault-tolerance, and availability Understands MPP Query Engines like Trino and StarRocks, etc. Bachelor's degree or Masters in Computer Science, Computer Engineering, or equivalent PREFERRED QUALIFICATIONS Experience with contribution to Open Source projects is a plus Experience with multiple public cloud infrastructures is a plus Experience in cluster management/orchestration software like Kubernetes, Spinnaker, Helm charts, Docker is a plus A learning attitude to continuously improve the self, team, and the organization Deeply concerned about excellence and quality Loves fast-paced environment and learning new technologies

Responsibilities

Design and build scalable data platform services used across Apple. Support critical infrastructure systems and frameworks for various data services.