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
HOME
    Log me in!   |   Site Map   |   Help   
 AI/ML - Machine Learning Engineer, Information Intelligence - Cupertino, California, 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 - Programming Languages
Computers - Platforms
Computers - Networks
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: 200294257 / Latpro-3828487 
Date posted: Oct-01-2021
State, Zip: California, 95014

Description

AI/ML - Machine Learning Engineer, Information Intelligence

Santa Clara Valley (Cupertino) , California , United States

Machine Learning and AI

Summary

Posted: Oct 1, 2021

Weekly Hours: 40

Role Number: 200294257

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. Join a new team in Apple AI/ML that is investigating novel visual capabilities across all Apple products that will transform the way people engage with the world around them! We're looking for strong engineers to work on cutting-edge technology, collaborate with experts across Apple, and deliver new end-to-end experiences that delight customers.

Key Qualifications

  • Excellent knowledge and practical skills in ML based perception systems
  • 5+ years of experience in developing and implementing high-quality computer vision algorithms
  • Strong interpersonal skills; able to work independently as well as in a team
  • Excellent software design, problem solving and debugging skills
  • Fluency in Python and another language (e.g., C/C++, Go, Swift or Rust)
  • Experience with relevant deep learning software packages (Keras, Tensorflow, PyTorch)

Description

As a senior machine learning engineer you are excited to solve high impact problems using deep learning and large data sets. You will stay up to date with latest research in detection, segmentation and metric learning and work with a team of highly qualified computer vision and machine learning specialists to develop innovative computer vision/machine learning systems in the area of visual search and fine grained recognition. You'll be involved in all phases of model development including data analysis, prototyping, testing, deployment and end to end optimization. You work closely with teams across Apple worldwide. You have great technical skills, a drive for high quality software and the ability to innovate creative solutions. Communicating clearly and having the flexibility to learn new technologies, while continuously developing your skills will be key to your success. You will fit into our teams, be a fantastic collaborator, comfortable with giving and receiving feedback and able to thrive in a dynamic environment. If this is you, we'd love to hear from you. This role will have the following responsibilities: * Prototype, develop and experiment with computer vision algorithms for search * Define and measure objective metrics for algorithmic system performance * Understand product requirements and translate them into engineering goals and tasks * Guide data collection and labelling for train and test data sets along with defining quality gates * Build systems for an end to end production grade stack with low latency and high throughput

Education & Experience

MS or PhD in computer vision, machine learning, computer science or equivalent industry experience.



Requirements

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':
       Apply
  Prefer not to enter your email?