Taro Logo

NLP Solutions Software Engineer

Apple is a leading technology company known for its innovative products and services.
$121,908 - $183,643
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
AI · Enterprise SaaS
This job posting is no longer active. Check out these related jobs instead:
Physical Design Engineer, Machine Learning

Physical Design Engineer role at Apple, combining machine learning expertise with processor design to optimize next-generation SOCs for power, performance, and area efficiency.

AIML - Machine Learning Engineer, Batch processing team

Machine Learning Engineer role at Apple focusing on batch processing and AI model evaluation, offering competitive pay and benefits in San Francisco or Seattle.

AIML - Machine Learning Engineer, Batch processing team

Machine Learning Engineer position at Apple working on AI model evaluation and batch processing systems for Siri and other Apple products.

Quality Engineer - Machine Learning

Quality Engineer position at Apple focusing on machine learning model testing, validation, and quality assurance for location-based technologies.

Machine Learning Engineer

Machine Learning Engineer position at Apple focusing on embedded systems and touch interface algorithms, offering $139.5K-$210.1K salary plus benefits in San Diego.

Job Description

As an NLP Solutions Software Engineer at Apple, you'll be part of the Silicon Technologies group, focusing on building AI-driven solutions for pressing business challenges. Your role involves developing LLM components for generative AI applications, collaborating with internal teams to understand domain-specific needs, serving as a point of contact for customers, and enabling efficient chip delivery through data-driven approaches. You'll work on creating elegant solutions to complex challenges, ensuring Apple products and services can seamlessly handle tasks loved by millions. This highly visible role requires passion for NLP and generative AI, with responsibilities including LLM component development, cross-functional collaboration, technical issue resolution, and driving efficiency in chip delivery through data utilization.

Last updated a year ago

Responsibilities For NLP Solutions Software Engineer

  • Develop LLM components for generative AI applications
  • Collaborate with internal teams to understand domain-specific needs
  • Serve as point of contact for customers, resolving technical issues
  • Enable efficient chip delivery through data utilization

Requirements For NLP Solutions Software Engineer

Python
  • Python programming experience
  • Hands-on experience in NLP and Data Science principles
  • Knowledge of current Gen AI research in RAG, Semantic Search, Agents, or Prompt Engineering
  • Bachelor's Degree

Benefits For NLP Solutions Software Engineer

Medical Insurance
Dental Insurance
401k
Education Budget
Equity
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Education reimbursement
  • Stock options
  • Discretionary bonuses
  • Relocation assistance