At a Glance
- Tasks: Lead groundbreaking research in machine learning and collaborate on innovative projects.
- Company: Join Apple, a leader in technology with a commitment to diversity and inclusion.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and innovation.
- Why this job: Shape the future of machine learning and make a real impact on technology.
- Qualifications: PhD in Computer Science or related field, with strong research and leadership experience.
The predicted salary is between 80000 - 100000 £ per year.
Play a part in building the next revolution of machine learning technology. We’re looking for a passionate researcher with team leadership experience 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 leader of and active participant in 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 have experience mentoring researchers and the skills to guide complex research projects to meaningful conclusions, including preparing technical reports for publication and delivering 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).
- Proven experience leading research teams and mentoring or managing researchers.
- Hands‑on experience working with deep learning toolkits such as JAX, PyTorch or MLX.
- 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 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. We believe accessibility is a fundamental human right; this principle is reflected in our culture, benefits, and digital tools. By welcoming diverse perspectives, we help you build a career where you feel like you belong.
AIML - Research Lead (Machine Learning), MLR in Cambridge employer: Apple
Apple is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the vibrant field of machine learning. As a Research Lead, you will not only lead groundbreaking projects but also benefit from a supportive environment that prioritises employee growth through mentorship and access to world-class resources. With a commitment to diversity and accessibility, Apple ensures that every team member feels valued and empowered to contribute to the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land AIML - Research Lead (Machine Learning), MLR in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the machine learning field, attend relevant conferences, and engage with researchers on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your research projects, publications, and any innovative work you've done. This will not only highlight your skills but also give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past research experiences and how they relate to the role. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Make sure to tailor your application to highlight how your experience aligns with the exciting projects we’re working on at StudySmarter.
We think you need these skills to ace AIML - Research Lead (Machine Learning), 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 a strong track record in conferences like NeurIPS or ICML, so don’t hold back on showcasing your achievements!
Tailor Your Application:Customise your application to reflect the specific role of Research Lead. Mention your leadership experience and how you’ve mentored others in the past. This will help us see how you can contribute to 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 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 the latest advancements in machine learning, especially around LLMs and generative models. Be prepared to discuss your past publications and how they relate to the role, as this will show your depth of knowledge and passion for the field.
✨Showcase Your Leadership Skills
Since this role involves team leadership, be ready to share specific examples of how you've successfully led research teams or mentored others. Highlight any challenges you faced and how you overcame them, as this demonstrates your ability to guide complex projects to fruition.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on your coding skills and be ready to solve problems on the spot, especially using tools like JAX or PyTorch. Practising coding challenges can help you feel more confident when tackling these questions.
✨Emphasise Collaboration and Diversity
Apple values collaboration across diverse teams, so be sure to express your enthusiasm for working with others. Share experiences where you’ve collaborated with different teams or disciplines, and how those interactions enriched your research outcomes.
