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- 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 and inclusion.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact on groundbreaking projects in machine learning and AI.
- Qualifications: PhD or equivalent experience in Computer Science and expertise in machine learning research.
- Other info: Collaborate with top-tier engineers and researchers in a dynamic, inclusive environment.
The predicted salary is between 36000 - 60000 £ per year.
Cambridge, England, United Kingdom
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.
Description
You have a strong research background in machine learning or related fields, and regularly publish your results in the main relevant conferences, ensuring 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.
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).
Preferred Qualifications
- 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.
Machine Learning Researcher, MLR in Cambridge employer: Apple Inc.
Contact Detail:
Apple Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher, MLR in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the machine learning field, especially those who work at Apple. Attend conferences, webinars, or local meetups to connect with potential colleagues and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, publications, and any hands-on experience with deep learning toolkits. This will give you an edge and demonstrate your expertise to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your research and findings clearly, as you'll need to communicate complex ideas effectively to your future team.
✨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.
We think you need these skills to ace Machine Learning Researcher, MLR in Cambridge
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 ambitious projects.
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 conferences, so don’t hold back!
Tailor Your Application: Customise your application to reflect the specific role of Machine Learning Researcher at Apple. Mention your experience with LLMs and generative models, as well as any hands-on work with deep learning toolkits like JAX or PyTorch.
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 ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Apple Inc.
✨Know Your Research Inside Out
Make sure you can discuss your previous research projects in detail. Be prepared to explain your methodologies, findings, and the impact of your work on the field of machine learning. This shows your passion and expertise.
✨Familiarise Yourself with Current Trends
Stay updated on the latest advancements in machine learning, especially in areas like LLMs and generative models. Being able to discuss recent papers or breakthroughs will demonstrate your commitment to the field and your ability to contribute to innovative projects.
✨Prepare for Technical Questions
Expect to face technical questions related to machine learning algorithms, coding, and statistical methods. Brush up on your knowledge of deep learning frameworks like JAX and PyTorch, and be ready to solve problems on the spot.
✨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 team environment.
