Expoint - all jobs in one place

Finding the best job has never been easier

Limitless High-tech career opportunities - Expoint

Apple AIML - Sr Machine Learning Engineer Siri Information Intelligence 
United States, Washington, Seattle 
436706497

Today
Minimum Qualifications
  • Experience: A minimum of 3 years of hands-on experience in developing and deploying machine learning models, emphasizing Natural Language Processing (NLP) and voice-based conversational systems.
  • Programming Skills: Proficiency in Python is a must, along with familiarity with relevant ML libraries/frameworks such as TensorFlow and PyTorch. Bonus points for experience with Swift, Obj-C, and on-device development.
  • Deep Learning Expertise: A robust background in deep learning techniques for NLP and Large Language Models (LLM).
Preferred Qualifications
  • Research Mindset: An ability to keep abreast of the latest advancements in AI/ML/NLP, coupled with a keen curiosity about applying ground breaking research to real-world applications.
  • Collaboration: Proven experience working in multi-functional teams, collaborating seamlessly with software engineers, UX/UI designers, and product managers.
  • Problem Solving: Demonstrated excellent problem-solving skills, showcasing an ability to tackle complex challenges innovatively.
Pay & Benefits
  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.