At a Glance
- Tasks: Develop innovative machine learning algorithms for Apple's photo features.
- Company: Join Apple, a leader in tech innovation and creativity.
- Benefits: Competitive salary, flexible hours, and opportunities for growth.
- Other info: Dynamic work environment with a focus on diversity and inclusion.
- Why this job: Be part of a team that shapes the future of photography with cutting-edge technology.
- Qualifications: Experience in machine learning and deep learning software applications.
The predicted salary is between 60000 - 80000 £ per year.
Do you have a passion for building the best photo app experience in the world? iPhone is the most popular camera in the world! Seamless integration of software and hardware has delivered magnificent experiences like Photos Memories and Portrait Mode. The Camera & Photos team develops privacy‐respecting machine learning technologies to ship Apple Intelligence features and emotional experiences to hundreds of millions of users worldwide. We are looking for an experienced Machine Learning Engineer to join our team in Cambridge, UK, to be part of this mission.
Description
In this role, you will be working on ideating and developing privacy preserving machine learning, deep learning, and generative AI algorithms for Apple Intelligence Photos features. Candidates should have a proven track record that demonstrates innovation, strong collaboration, excellent interpersonal skills, and a passion for designing and developing high‐quality software.
Minimum Qualifications
- Proven industry experience building machine learning and deep learning based software applications
- Strong machine learning and deep learning fundamentals
- Exceptional problem‐solving and interpersonal skills
- Robust applied software methodology, process, and quality skills to take an ML algorithm from a prototype to a final production quality deployment
Preferred Qualifications
- Hands on experience with large language models (LLMs) and parameter efficient fine tuning of LLMs
- Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences
- Proven ability to excel in a fast‐paced development team
- Proficiency with deep learning toolkits such as PyTorch
Equal Employment Opportunity Statement
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.
SWE - Machine Learning Engineer, Photos in Cambridge employer: Apple
Apple is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Cambridge, UK. As a member of the Camera & Photos team, you'll have the opportunity to work on cutting-edge machine learning technologies that impact millions of users globally, while benefiting from a commitment to employee growth, diversity, and inclusion. With a focus on privacy-respecting solutions and a supportive environment, Apple empowers its employees to thrive and make meaningful contributions to the world of technology.
StudySmarter Expert Advice🤫
We think this is how you could land SWE - Machine Learning Engineer, Photos in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Apple. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to photo apps or generative AI. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Apple.
We think you need these skills to ace SWE - Machine Learning Engineer, Photos in Cambridge
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for building amazing photo app experiences! Share any personal projects or experiences that highlight your love for machine learning and how it can enhance user experiences.
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your experience with machine learning and deep learning, especially any work related to privacy-preserving technologies. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for our team. Be sure to mention specific projects or achievements that demonstrate your problem-solving skills and collaboration abilities.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Apple
✨Know Your Stuff
Make sure you brush up on your machine learning and deep learning fundamentals. Be ready to discuss specific algorithms you've worked with, especially those related to privacy-preserving techniques. This shows you're not just familiar with the theory but have practical experience too.
✨Show Your Passion
Express your enthusiasm for building innovative photo app experiences. Talk about any personal projects or contributions to open-source that relate to machine learning in photography. This will help you stand out as someone who genuinely cares about the role.
✨Collaborate Like a Pro
Since this role requires strong collaboration skills, be prepared to share examples of how you've successfully worked in teams. Highlight your interpersonal skills and how you’ve contributed to a positive team dynamic in past projects.
✨Prepare for Problem-Solving
Expect to tackle some technical problems during the interview. Practice explaining your thought process clearly and logically. Use examples from your experience where you solved complex issues, particularly in fast-paced environments, to demonstrate your problem-solving prowess.
