AIML - ML Scientist, Adaptive Devices & Platforms Team

Key Skills

Aartificial intelligence, C Programming, C++, Computer Vision (CV), Generative AI, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), NeurIPS, Objective-C, Python Programming, PyTorch, TensorFlow

Job Description

The Adaptive Devices and Platforms Team (ADPT) is looking for an outstanding Machine Learning Scientist to specialize in deep generative modeling. Are you passionate about incubating and deploying innovative technologies and features to millions of Apple users? 

As part of AIML's R&D arm, our charter is to prototype next generation capabilities and platforms for new user experiences and/or Apple hardware. With the rise of Foundation Models, our recent focus is applied generative modeling. Our team offers experts in the field an opportunity to apply their skills to enhancing Apple products everyone loves and incubating new products. We're an elite team looking for ambitious, strongly technical and creative problem solvers, but also great teammates. Because of the nature of the work, candidates should be comfortable with uncertainty, taking calculated risks, and failing fast.

Key Qualifications

• 4+ years of experience building deep generative models such as LLMs and diffusion models using PyTorch and/or TensorFlow on platforms such as Hugging Face, Gupshup or Twilio with expertise in at least one domain such as NLP, CV, ASR, multimodality, reinforcement learning, robotics, model optimization/compression, etc.
• 3+ years applying machine learning methods to products, features and/or services
• Experience with all aspects of machine learning and model life-cycle management including data curation and collection, pre-training and fine-tuning, model evaluation and experimentation, model deployment and debugging, and post-deployment monitoring and updating.
• Publications in research communities such as NIPS, ACL, ICML, CVPR, etc.
• Excellent algorithm and data structure skills (time and space complexity analysis, optimization, etc.)
• Expertise in Python with some experience in C/C++/Objective-C development
• Skill in efficiently implementing algorithms published in technical papers and/or developing new algorithms.
• Demonstrated ability to quickly learn and modify large, existing code bases
• Enthusiasm for continuing to learn state-of-the-art techniques in machine learning and generative AI
• Excellent interpersonal and collaboration skills

If hired, you will work with a passionate, mission-focused team to conceptualize, rapidly prototype, and ship next-generation technologies and features. To succeed, you must be a proactive and driven problem solver with a proven track record of working across multiple code bases, teams, and organizations. You must enjoy using machine learning to craft transformative new capabilities for Apple products, writing elegant code, and applying innovative new technologies in the service of human-centered design. 

Overall, this position offers the right person a chance to play a meaningful role in bringing the promise of AI offered by recent advances in deep generative modeling to millions of Apple users in a safe, reliable, and delightful way. It is a chance to “think different” about AI - the Apple way!

Education & Experience

M.S. or Ph.D. in Computer Science, Electrical Engineering, Statistics, Physics or related fields.

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 $189,800 and $284,900, and your base pay will depend on your skills, qualifications, experience, and location.