Software Engineer Intern, Systems and Infrastructure (PhD)

Meta
London
1 year ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence and Machine Learning Intern

Software Dev Intern - AI / Machine Learning

Software Engineer - AI MLOps Oxford, England, United Kingdom

Software Engineer, Applied Artificial Intelligence (AI)

Software Engineer, Applied Artificial Intelligence (AI)

GenAI Software Engineer/Data Scientist

Summary: We build systems that allow billions of people all over the world to connect and communicate using whatever devices they have available. Our researchers and engineers are constant innovators as they design and build scalable, fast, reliable, and efficient systems. Moreover, fast evolving social apps and highly dynamic social workloads present many unique research opportunities. From distributed systems, to data centers, hardware, storage, mobile and beyond, the entire Meta platform is our lab for research, development, and innovation.As a PhD Intern at Meta, you will help build the systems behind Meta's products, create web applications that reach millions of people, build high volume servers and be a part of a team that's working to help connect people around the globe. You will have a keen interest in relevant engineering fields, including (but not limited to) machine learning and artificial intelligence, distributed software systems, storage systems, data warehousing and analytics, database systems, operating systems, networking systems, programming languages, compilers & runtime systems, security & privacy, cryptography, and mobile systems.As part of our hiring process, PhD interns are matched to a relevant team based on their experience and interests.This internship has a minimum twelve (12) week duration with 2025 start dates only. Required Skills: Software Engineer Intern, Systems and Infrastructure (PhD) Responsibilities: - Build highly-scalable software systems using a wide variety of languages such as C++, Java, JavaScript, PHP, SQL, OCAML, and Python with a high degree of autonomy - Design flexible APIs for Meta product teams developing applications for web and mobile - Proactively identify and drive changes as needed for assigned codebase, product area and/or systems - Perform specific responsibilities which vary by team Minimum Qualifications: Minimum Qualifications: - Research and/or work experience in Algorithms, Architecture, Compilers, Databases, Data Mining, Distributed Systems, Mobile, Networking, Operating Systems, Programming Languages, Security, Cryptography, or Storage - Experience in systems software or algorithms - Experience coding in C++, Java, PHP or Python - Interpersonal experience: cross-group and cross-culture collaboration - Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Preferred Qualifications: Preferred Qualifications: - Intent to return to degree-program after the completion of the internship/co-op - Demonstrated software engineer experience via an internship, work experience, coding competitions, or PhD papers - Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences - Demonstrated creativity and quick problem solving capabilities Industry: Internet

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

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.