Summary

Posted: Jul 7, 2024

Role Number:200557080

Imagine what you could do with algorithms at Apple! Extraordinary ideas have a way of becoming excellent products, services, and customer experiences which are personalized, contextualized and intelligent to our users. As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape the future. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills.

Description


This role will have the following responsibilities: Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications Understanding product requirements, translating them into modeling tasks and engineering tasks Collaborating with Hardware and Software teams across Apple Translating theoretical ideas into tangible innovations CORE RESPONSIBILITIES: Conduct theoretical analysis of challenging technological problems. Take part in data collection for algorithm training and testing. Develop innovative algorithms that accomplish a desired functionality in prototypes. Demonstrate the developed technology through field tests and live demonstrations. Collaborate with multi-functional teams across the organization. Present intermediate and final products to stakeholders and executives.

Minimum Qualifications


  • Minimum of 3 years relevant industry experience
  • Strong experience on machine learning model development
  • Excellent knowledge and good practical skills in major machine learning algorithms
  • Proficiency in Programming Languages and Frameworks: Python, PyTorch/TensorFlow/Jax
  • Strong prototyping skill to build demos for early feedback
  • Good interpersonal skills and team player
  • Industry experience with Natural Language Processing (NLP), with a focus on LLMs-Nice to have


Preferred Qualifications


  • BSc/MSc in Computer Science or related field



Location

Herzliya, Tel Aviv District, Israel

Job Overview
Job Posted:
5 months ago
Job Expires:
Job Type
Full Time

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