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- Tasks: Join us in revolutionising machine learning technology through innovative research and collaboration.
- Company: Apple, a leader in tech innovation with a commitment to diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for impactful research.
- Why this job: Make a real difference in the future of technology while working with top experts.
- Qualifications: PhD or equivalent experience in machine learning; strong publication record required.
- Other info: Dynamic team environment with a focus on mentorship and career growth.
The predicted salary is between 36000 - 60000 £ 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 ML frameworks.
- Proven industry experience.
- Strong mathematical skills in differential calculus, probability, statistics.
- Strong coding skills, as exemplified by 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
Contact Detail:
Apple 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 fellow researchers and professionals in the machine learning field. Attend conferences, webinars, or local meetups to connect with people who can help you land that dream job.
✨Tip Number 2
Show off your work! Create a portfolio showcasing your research projects, publications, and any contributions to open-source software. This will give potential employers a taste of your skills and passion for machine learning.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and research knowledge. Be ready to discuss your past projects and how they relate to the role you're applying for. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals to join our team. Make sure your application stands out by tailoring it to the specific role and highlighting your unique experiences.
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 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 conferences, so don’t hold back on showcasing your achievements!
Tailor Your Application: Customise your application to reflect the specific role of Machine Learning Researcher. Use keywords from the job description and demonstrate how your skills and experiences make you a perfect fit for our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at StudySmarter!
How to prepare for a job interview at Apple
✨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 will show your depth of knowledge and passion for the subject.
✨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 during your interview will demonstrate your enthusiasm and commitment to the field.
✨Prepare for Technical Questions
Expect to face technical questions that assess your coding skills and understanding of machine learning concepts. Brush up on your knowledge of deep learning frameworks like JAX and PyTorch, and be ready to solve problems on the spot or discuss your approach to coding challenges.
✨Showcase Your Collaboration Skills
Since this role involves working with diverse teams, 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 positive team environment.
