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 NLP Core Technology, ML Engineer - 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 - Other
Computers - Platforms
Computers - Networks
 
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: 200296247 / Latpro-3831525 
Date posted: Oct-27-2021
State, Zip: California, 95014

Description

NLP Core Technology, ML Engineer

Santa Clara Valley (Cupertino) , California , United States

Machine Learning and AI

Summary

Posted: Oct 5, 2021

Weekly Hours: 40

Role Number: 200296247

Are you interested in making an extensive and impactful contribution to safety in Apple user experiences using natural language processing and machine learning? We are looking for an exceptional talent with a strong foundation in machine learning, domain expertise in NLP, and the ability to turn ideas into action. We are an applied R&D team that develops core technologies to keep children safe on Apple's devices and services. Our team has a great mix of talent across NLP, software engineering and Machine Learning. We love to share our knowledge within our team, stay abreast of state-of-the-art and deliver outstanding products for our users. We also have a strong culture of multi-functional collaboration across teams at Apple.

Key Qualifications

  • Strong ML and NLP fundamentals
  • Hands-on experience with building NLP applications
  • Expertise in text processing and analysis
  • Proficiency in using ML toolkits, e.g., PyTorch, Tensorflow
  • Strong programming skills in C, C++ and Python
  • Strong analytical and problem solving skills
  • You're aware of the challenges associated to the transition of a prototype into a final product
  • You're familiar with the challenges of developing algorithms that run efficiently on resource constrained platforms
  • You've demonstrated leadership in both applied research and development
  • Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams
  • You are passionate about building technology to help keep children safe

Description

You will work at the intersection of NLP, Machine Learning and Software Engineering. The position requires proven hands-on NLP experience in conjunction with Software Engineering. The role spans the entire gamut of NLP: text processing, empirical experimentation for building state-of-the-art NLP models, productizing NLP features for child safety on Apple platforms. The role has plenty of opportunities for collaboration with several engineering teams at Apple that work on machine learning and NLP. You will be responsible for further advancing or building new capabilities in natural language understanding to keep children safe on Apple's devices and services.

Education & Experience

M.S. or PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or machine learning or comparable professional experience

Additional Requirements

  • Previous experience working in the domain of child safety is a plus





Requirements

See job description

 

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