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For Companies At a Glance
- Tasks: Conduct AI research and engineering projects with mentorship and community support.
- Company: Join Anthropic, a leader in AI research and innovation.
- Benefits: Gain funding, mentorship, and access to a vibrant research community.
- Why this job: Make a real impact in AI while developing your skills and knowledge.
- Qualifications: Fluency in Python and a strong background in computer science or related fields.
- Other info: Full-time remote internship with opportunities for public research outputs.
The predicted salary is between 20000 - 30000 £ per year.
This program aims to foster AI research and engineering talent by providing funding and mentorship. Fellows will utilize external infrastructure to conduct empirical projects aligned with research priorities. The goal is to produce public outputs such as paper submissions. The program offers direct mentorship and access to a research community.
Required Qualifications and Skills
- Candidates must be fluent in Python programming and available to work full-time on the Fellows program.
- A strong technical background in computer science, mathematics, or physics is expected.
- Experience in building complex ML systems, balancing research with engineering rigor, and collaborating across disciplines is beneficial.
- Familiarity with large-scale distributed systems, high-performance computing, and evaluating large language models is also advantageous.
- A Bachelor's degree or equivalent combination of education, training, and experience is the minimum educational requirement.
Anthropic Fellows Program — Reinforcement Learning in London employer: Towards AI, Inc.
Contact Detail:
Towards AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Anthropic Fellows Program — Reinforcement Learning in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI research community, attend relevant meetups or webinars, and don’t be shy about asking for informational interviews. Building connections can open doors that you didn’t even know existed.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and reinforcement learning. This is your chance to demonstrate your technical prowess and creativity, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of distributed systems and ML frameworks. Practice explaining complex concepts in simple terms, as you might need to collaborate with folks from different backgrounds.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Anthropic Fellows Program — Reinforcement Learning in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python programming skills and any relevant experience in computer science, mathematics, or physics. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Anthropic Fellows Program. Mention specific projects or experiences that relate to reinforcement learning and distributed systems. This shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your qualifications and experiences. Avoid fluff – we want to know what makes you a great fit!
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 position. Plus, it’s super easy!
How to prepare for a job interview at Towards AI, Inc.
✨Master the Basics of Python
Since fluency in Python is a must for this role, make sure you brush up on your coding skills. Be prepared to discuss your previous projects and how you've used Python to solve complex problems. Practising coding challenges can also help you feel more confident.
✨Showcase Your Technical Background
Highlight your education and experience in computer science, mathematics, or physics during the interview. Be ready to explain how your background has prepared you for tackling real-world problems in AI research and engineering.
✨Discuss Collaboration and Interdisciplinary Work
This role values collaboration across disciplines, so think of examples where you've worked with others from different fields. Share how you balanced research with engineering rigor in those situations, as it will demonstrate your ability to thrive in a team environment.
✨Prepare for Questions on Distributed Systems
Familiarity with large-scale distributed systems is advantageous, so be ready to discuss any relevant experience. Brush up on concepts related to high-performance computing and evaluating large language models, as these topics may come up during the interview.