At a Glance
- Tasks: Develop scalable machine learning models and tools that impact millions globally.
- Company: Join Meta, a leader in transformative technology and innovation.
- Benefits: Gain hands-on experience, mentorship, and the chance to work on groundbreaking projects.
- Other info: Flexible internship duration with various start dates and excellent career growth potential.
- Why this job: Be at the forefront of AI/ML advancements and connect people worldwide.
- Qualifications: PhD in relevant field and experience in machine learning or related areas.
The predicted salary is between 500 - 1500 £ per month.
Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning teams are at the forefront of this evolution. By taking on crucial projects and initiatives that have never been done before, you have an opportunity to help advance the way people connect around the world. In order to meet the demands of our scale, we approach machine learning challenges from a system engineering standpoint, pushing the boundaries of scalable computing and tying together numerous complex platforms to build models that leverage trillions of actions.
Our research and production implementations leverage many of the innovations being generated from Meta’s research in Artificial Intelligence, Distributed Computing, and Databases, and run on the same hardware and network specifications that are being open sourced through the Open Compute project. As a PhD intern at Meta, you will help build machine learning systems and models 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. As part of our hiring process, PhD interns are matched to a relevant team based on their experience and interests. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Responsibilities- Develop highly scalable classifiers and tools leveraging machine learning, regression, and rules-based models.
- Suggest, collect and synthesize requirements and create effective feature roadmaps.
- Code deliverables in tandem with the engineering team.
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
- Currently has, or is in the process of obtaining, a PhD in Computer Science, Computer Vision, Machine Learning, or related field.
- Research and/or work experience in a relevant field, such as machine learning, deep learning, reinforcement learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, or computer vision.
- Experience in systems software or algorithms.
- Experience coding in Python, C/C++.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- 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 open-source code contributions.
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading conferences or journals.
- Demonstrated creativity and quick problem solving capabilities.
- Experience with large-scale data analysis and processing.
- Interpersonal experience: cross-group and cross-culture collaboration.
Industry: Internet
Research Scientist Intern, AI/ML, Core Ads Growth (PhD) employer: Meta
Meta is an exceptional employer for aspiring Research Scientists, particularly in the vibrant tech hub of Silicon Valley. With a strong emphasis on innovation and collaboration, employees are encouraged to push the boundaries of machine learning while working on transformative projects that impact millions globally. The company offers robust growth opportunities, a dynamic work culture that values creativity, and access to cutting-edge technology, making it an ideal environment for those looking to make meaningful contributions in the field of AI and ML.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist Intern, AI/ML, Core Ads Growth (PhD)
✨Tip Number 1
Network like a pro! Reach out to current or former interns at Meta through LinkedIn. Ask them about their experiences and any tips they might have. This can give you insider knowledge and potentially a referral!
✨Tip Number 2
Prepare for technical interviews by brushing up on your coding skills. Use platforms like LeetCode or HackerRank to practice problems related to machine learning and algorithms. We want you to feel confident when tackling those tricky questions!
✨Tip Number 3
Showcase your projects! If you've worked on any relevant machine learning projects, make sure to highlight them in your discussions. We love seeing practical applications of your skills, so be ready to talk about your contributions and results.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team. Don’t forget to tailor your application to reflect your passion for AI/ML and how you can contribute to Meta's mission!
We think you need these skills to ace Research Scientist Intern, AI/ML, Core Ads Growth (PhD)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your relevant experience in machine learning, coding, and any projects you've worked on. We want to see what makes you stand out, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Research Scientist Intern role. Use keywords from the job description and relate your experiences directly to the responsibilities listed. It shows us you’re genuinely interested!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and passion for AI/ML.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Meta
✨Know Your Stuff
Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss your research and how it relates to the role. Familiarise yourself with Meta's projects and innovations in AI/ML, as this will show your genuine interest in their work.
✨Showcase Your Projects
Prepare to talk about your previous projects, especially those involving scalable classifiers or tools. Highlight any experience with Python or C/C++ coding, and be ready to explain your thought process and problem-solving strategies during these projects.
✨Ask Smart Questions
Come prepared with insightful questions about the team, the projects you'll be working on, and how they approach machine learning challenges. This not only shows your enthusiasm but also helps you gauge if the role is the right fit for you.
✨Demonstrate Team Spirit
Since collaboration is key at Meta, be ready to share examples of how you've worked effectively in teams. Discuss any cross-group or cross-culture experiences you've had, as this will highlight your interpersonal skills and adaptability.
