Applied ML Scientist, Shortcuts
Job Description
Summary
Generative AI enables us to rethink the way we use our devices. Play a part in the next revolution in human-computer interaction. Work with the people behind Shortcuts & App Intents, Apple Intelligence, and other system experiences that help millions of people get things done!
The Shortcuts & App Intents team is looking for a machine learning scientist passionate about building transformative new computing experiences powered by AI. Work at the intersection of cutting-edge machine learning research, software engineering, and Human Interface Design.
The Shortcuts & App Intents team is looking for a machine learning scientist passionate about building transformative new computing experiences powered by AI. Work at the intersection of cutting-edge machine learning research, software engineering, and Human Interface Design.
Description
In this role, you will bootstrap machine learning research and application in our group and drive model development and experimentation from concept to production. Responsibilities will include training large scale models on distributed backends, deployment of compact neural architectures efficiently on device, and addressing safety challenges to make our models robust and aligned with human values. As a creative problem solver who excels when faced with new ambiguous problems, you will help us shape our roadmap and solve significant technical challenges in new spaces!
An ideal candidate for this role will have industry experience or equivalent hands-on research working with Transformers and Large Language Models (LLMs), as well as knowledge of other contemporary modeling problems (e.g., Conversational Agents, Sequential Decision Making, Reinforcement Learning, Autonomous Systems, Human Preference Learning). You will work across teams and organizations spanning a variety of disciplines, collaborating closely with machine learning researchers, software engineers, hardware and design teams.
An ideal candidate for this role will have industry experience or equivalent hands-on research working with Transformers and Large Language Models (LLMs), as well as knowledge of other contemporary modeling problems (e.g., Conversational Agents, Sequential Decision Making, Reinforcement Learning, Autonomous Systems, Human Preference Learning). You will work across teams and organizations spanning a variety of disciplines, collaborating closely with machine learning researchers, software engineers, hardware and design teams.
Minimum Qualifications
- An advanced degree (Master's) in Computer Science, Artificial Intelligence, Machine Learning, or a related experience is required
- Consistent track record of researching, inventing and/or shipping advanced machine learning models
- Deep hands-on experience with generative models (e.g. Transformers, LLMs, VLMs, etc.)
- Strong analytical and problem solving skills
- Strong programming skills in Python, C and C++, proficiency in using machine learning toolkits, e.g., PyTorch
Preferred Qualifications
- You've demonstrated leadership in both applied research and development
- Interest in working with design partners in defining novel HCI concepts aided by ML
- Enjoys keeping up-to-date with cutting-edge machine learning research including optimization methods and modeling techniques
- Excellent written and verbal communications skills, comfortable presenting research to large audiences, and able to work hands-on in multi-functional teams
- Bonus points if you have experience training on clusters, deploying complex ML models on edge devices, competency in techniques such as quantization and weight pruning
