AIML - Machine Learning Researcher, MIND
Vor 2 Tagen
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.
We are looking for outstanding researchers to work on ambitious artificial intelligence projects that will advance the field and shape intelligence in future Apple products. As a team, we are working to define and solve the hardest problems in reasoning and knowledge representation within foundation models, with a commitment to trustworthy solutions. Our roots are in research, which means at our core, we value learning, intellectual curiosity, and exploration. Through our work, we aim to make a positive impact on the world by conducting research that truly matters.
DescriptionAs 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 the machine learning field.
- Provide technical mentorship and guidance.
- PhD in Computer Science, or related technical field.
- 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.
- 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.
- In-depth expertise in machine learning research.
- Strong interpersonal skills and ability to collaborate in a diverse environment.
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