Spanish bilingual and Hispanic jobs since 1997. Diversity job fairs since 2006. employers     login   |   register - post a job
Hispanic Diversity Recruitment - best jobs for hispanic, latino & bilingual (spanish & portuguese) jobseekers
    Log me in!   |   Site Map   |   Help   
 AI/ML -Full Stack Software Engineer, ML Platform & Technology - Seattle, Washington, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Software Engineer
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200212719 / Latpro-3771867 
Date posted: Feb-05-2021
State, Zip: Washington, 98199


AI/ML -Full Stack Software Engineer, ML Platform & Technology

Seattle , Washington , United States

Machine Learning and AI


Posted: Dec 21, 2020

Weekly Hours: 40

Role Number: 200212719

Want to contribute to the platform enabling the next generation of intelligent experiences in Apple products & services? Our group builds web-based tools that machine learning engineers from many Apple organizations depend on to create high impact product features. As a senior software engineer on our team you will lead the design and implementation of major new pieces of our popular internal machine learning platform. You'll work with data scientists and ML engineers to identify useful and innovative functionality for model training and evaluation pipelines and then make it happen. Our friendly, enthusiastic, and accomplished team is actively growing; you will be encouraged and supported to do the best work of your career here, and you will have tremendous opportunity for impact. We offer a flexible, family-friendly working environment and a wide range of benefits.

Key Qualifications

  • Demonstrated experience delivering reliable, scalable, performant, and secure web-based systems and services in production.
  • Expert software design and development skills, and a passion for code quality.
  • Strong foundation in computer science fundamentals including data structures and algorithms.
  • Creative, collaborative, and focused on user experience and value.
  • Can independently prioritize and make progress on multiple work streams.
  • Excellent written and verbal communication skills. Comfortable representing our work to partners and leaders.


This role includes the following responsibilities and requirements: * Architecture, design, development, debugging, documentation, and operation of large-scale systems designed for machine learning. This includes distributed systems for data management and computation as well as web oriented APIs and user interfaces. You should be comfortable and eager to work on either the front or back end of web based products. * Partner with data scientists and ML engineers across different Apple organizations to define high impact product features and deliver them with quality. Take pride and ownership in delivering delightful user experiences. * Be able to stay on top of state-of-the-art technologies and apply them in the job. * Lead other engineers and demonstrate best practices for software engineering. Support and mentor junior engineers. * Be knowledgable and productive with a wide variety of front and back-end technologies. Experience with any of the following technologies is particularly desirable: TypeScript, Python, Go, Java, HTML/CSS, React, Redis, PostgreSQL, Kafka, Spark, Solr or ElasticSearch, Docker/Kubernetes, AWS, Git. * Previous experience with machine learning pipelines, model evaluation, and data visualization is a plus.

Education & Experience

M.S. or PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering). A focus on computer vision and/or machine learning is a valuable plus


See job description


Apple requires you to fill in their on-line form which will open in a different window.

Enter your email address and click 'Apply':
  Prefer not to enter your email?