Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join us in pioneering the future of machine learning technology through innovative research.
- Company: Apple, a leader in tech innovation with a commitment to diversity.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on inclusivity and collaboration.
- Why this job: Make a real impact on groundbreaking projects and collaborate with top experts.
- Qualifications: PhD in Computer Science or related field, with strong machine learning research experience.
The predicted salary is between 60000 - 75000 £ per year.
Play a part in building the next revolution of machine learning technology. We’re looking for passionate researchers to work on ambitious curiosity-driven long-term research projects that will impact the future of Apple, and our products. In this role, you’ll have the opportunity to work on innovative foundational research in machine learning focusing on LLMs and generative models. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers, and publish your results in high-quality scientific venues.
You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conferences, and make sure that your research results are of high quality and reproducible. You will define your research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical mentorship and guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.
Minimum Qualifications- PhD, or equivalent practical experience, in Computer Science, or related technical field
- Demonstrated expertise in machine learning research.
- Ability to formulate a research problem, design, experiment, implement and communicate solutions.
- Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AISTATS, CVPR, ICCV, ECCV, ACL, EMNLP, etc).
- Hands-on experience working with deep learning toolkits such as JAX, PyTorch or MLX
- Proven industry experience
- Strong mathematical skills in differential calculus, probability, statistics.
- Strong coding skills, as exemplified by e.g. OSS contributions, and ability to maintain a coherent and evolving codebase.
- Ability to work as a team player in a diverse collaborative environment.
- You have proposed through previous publications impactful methods in areas of interest to the group, such as generative modeling (flow matching, diffusion, etc.), LLM/VLM training/fine-tuning/inference, neural network theory, or scaling laws.
At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.
AIML - Machine Learning Researcher, MLR employer: Apple
Contact Detail:
Apple Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AIML - Machine Learning Researcher, MLR
✨Tip Number 1
Network like a pro! Reach out to your connections in the machine learning field, attend relevant meetups or conferences, and don’t be shy about sharing your research interests. You never know who might have a lead on an opportunity or can introduce you to someone at Apple.
✨Tip Number 2
Show off your work! Create a portfolio showcasing your research papers, projects, and any contributions to open-source software. This not only highlights your skills but also gives potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and being ready to discuss your past research in detail. Practice explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively with diverse teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Apple and contributing to the future of machine learning.
We think you need these skills to ace AIML - Machine Learning Researcher, MLR
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for machine learning shine through! We want to see your genuine interest in the field and how it aligns with our mission at StudySmarter.
Highlight Your Research Experience: Make sure to detail your research background and any relevant publications. We love seeing candidates who have a strong track record in machine learning, so don’t hold back on showcasing your achievements!
Tailor Your Application: Customise your application to reflect the specific role and projects we’re working on. Mention any experience with LLMs or generative models, as this will show us you’re a great fit for our team.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Apple
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and any relevant publications. Be prepared to discuss your findings, methodologies, and the implications of your work. This shows not only your expertise but also your passion for the field.
✨Familiarise Yourself with the Team's Work
Before the interview, take some time to understand the projects and research areas that the team at Apple is currently focused on. This will help you tailor your responses and demonstrate how your skills align with their goals.
✨Prepare for Technical Questions
Expect to face technical questions related to machine learning concepts, algorithms, and tools like JAX or PyTorch. Brush up on your coding skills and be ready to solve problems on the spot, as this will showcase your practical abilities.
✨Showcase Your Collaboration Skills
Since teamwork is crucial in this role, be ready to share examples of how you've successfully collaborated with others in past projects. Highlight your ability to mentor and guide colleagues, as well as how you’ve contributed to a diverse working environment.