At a Glance
- Tasks: Design and develop innovative imaging technologies using machine learning and computer vision.
- Company: Join Apple, a leader in technology and innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal growth.
- Other info: Collaborative environment with a commitment to diversity and accessibility.
- Why this job: Make a real impact on products enjoyed by millions worldwide.
- Qualifications: Experience in image processing, machine learning, and strong coding skills.
The predicted salary is between 59400 - 72600 £ per year.
iPhone is equipped with the world’s most popular camera system, delivering magical experiences that continue to surprise and delight our customers. The Camera & Photos group focuses on perfecting our imaging pipelines using advanced computer vision, computational photography, and machine learning techniques. As a member of this group, you would have the unique opportunity to work on products that are used and enjoyed by millions of people.
You will leverage your research background and knowledge of image processing and machine learning to design, develop, and improve Apple imaging and photo editing technologies. You will develop ideas and concepts into commercially viable algorithms. You should stay up-to-date with the cutting-edge developments in machine learning, computer vision, and computational photography, both in academia and in industry. You are expected to leverage your knowledge to work and influence Apple's products, specifically as they relate to our camera systems.
Minimum Qualifications
- Experience researching, developing, and implementing image processing and machine learning algorithms
- Experience training and working with generative models
- Strong coding skills - preferably in Python including ML-frameworks and libraries such as Pytorch
- Experience in productizing or publishing your research results in fields such as machine learning, image processing, and computer graphics
Preferred Qualifications
- PhD in Computer Science or a related field (mathematics or physics), with a focus on or related work in machine learning, computer vision, or imaging
- Good understanding of in-camera processing
- Strong mathematical and statistical analysis background
- Familiarity with object-oriented programming languages such as C++ or Objective C
- Ability to work with cross-functional teams
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
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.
At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Machine Learning Research Engineer, Camera Software in Cambridge employer: Omaze
Omaze is an exceptional employer located in Greater London, offering a vibrant work culture that prioritises employee well-being and growth. With generous benefits such as stock options, 25 days of annual leave, and private health insurance, we foster an environment where our Customer Experience Leaders can thrive and make a meaningful impact on customer interactions.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Research Engineer, Camera Software in Cambridge
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Omaze or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Omaze.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Omaze.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Omaze that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Machine Learning Research Engineer, Camera Software in Cambridge
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Omaze.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Omaze and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Omaze
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Omaze uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
