Machine Learning Research Intern, Camera Software

Apple

Cambridge

6 days ago

Create job alert

Summary

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 computational photography, statistical and optimization methods, and machine learning techniques.

As part of the Camera and Photos organization, our team in Cambridge works on camera pipelines and innovative algorithms for Apple’s mobile devices, including the iPhone and iPad. Combining innovative algorithms with optimized implementations, we deliver the quality and features that help redefine mobile photography.

If you are passionate about inventing and developing new imaging algorithms to improve the photography experience, we would like to hear from you!

Description

You will leverage your research background and knowledge of signal and image processing and statistical analysis methods to design, develop, and improve Apple imaging technologies.

We will partner you with a dedicated mentor who is an experienced member of our team.

You and your mentor will collaborate to design and implement an innovative solution that aligns with the team’s on-going and future projects. At the end of your internship, you will have the chance to meet and present your work to the leadership in our organization.

Minimum Qualifications

Experience researching, developing, and implementing advanced image processing algorithms and statistical models
Deep understanding of image processing techniques and optimization algorithms
Excellent coding skills, preferably in Python and MATLAB
Post‑graduate student in computer science, applied mathematics, physics, machine learning or a related subject

Preferred Qualifications

Excellent analytical and problem‑solving skills
Experience collaborating with multidisciplinary research teams
Excellent written and verbal communication skills
Familiarity with object‑oriented programming languages such as C++ or Objective C

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. Learn more

#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Researcher

Machine Learning Engineer Intern

Machine Learning Intern

Intern - Machine Learning & AI - Image processing and defect detection

Intern - Machine Learning & AI - Generative AI for Image processing and defect detection

Intern- AI, Machine Learning

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Jan 29, 2026

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.