Finding the best job has never been easier
Apple AIML - Machine Learning Researcher MIND United States, Washington, Seattle 278217175
01.02.2025
Share
Description
As a Machine Learning Researcher in this team, you will:* Work on some of the most ambitious technical problems on data and compute efficient machine learning.* Research novel AI solutions that will impact future Apple products.* Collaborate with world-class machine learning researchers and engineers to bring research ideas to production.* Publish and present your work in world-class scientific venues in machine learning field.* Provide technical mentorship and guidance.
Minimum Qualifications
- PhD in Computer Science, or related technical field.
- In-depth expertise in machine learning research.
- Domain expertise in one or more of NLP, computer vision, or optimization.
- Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc).
- Expertise in working with at least one deep learning framework such as; PyTorch, JAX, or Tensorflow.
- Bachelor's, Master's, or PhD or equivalent experience in Computer Science or a related field
Preferred Qualifications
- Strong mathematical skills in linear algebra and probability.
- Proficient in Python and C/C++. CUDA or other GPGPU is a plus.
- Ability to formulate a research problem, design, experiment, implement and communicate solutions.
- Strong interpersonal skills and ability to collaborate in a diverse environment.
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.
These jobs might be a good fit
