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- Tasks: Conduct AI research and engineering projects with mentorship and community support.
- Company: Join a leading AI research organisation dedicated to fostering talent.
- Benefits: Gain hands-on experience, mentorship, and contribute to impactful research outputs.
- Why this job: Make a difference in AI while developing your skills in a supportive environment.
- Qualifications: Fluency in Python and a strong background in computer science or related fields.
- Other info: Remote full-time internship with opportunities for professional growth.
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 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
✨Tip Number 1
Network like a pro! Reach out to people in the AI research community, especially those involved in reinforcement learning. A friendly chat can open doors and give you insights that might just land you that internship.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects or any ML systems you've built. This is a great way to demonstrate your technical prowess and passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of distributed systems and high-performance computing. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨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 take the initiative to engage directly with us.
We think you need these skills to ace Anthropic Fellows Program — Reinforcement Learning
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 AI research. 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!
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. We can’t wait to hear from you!
How to prepare for a job interview at Towards AI, Inc.
✨Know Your Python Inside Out
Since fluency in Python is a must for this role, make sure you brush up on your 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 demonstrate your proficiency.
✨Showcase Your Technical Background
With a strong technical background in computer science, mathematics, or physics being essential, be ready to talk about your educational journey and any relevant experience. Highlight specific projects or coursework that align with the role's requirements, especially those involving ML systems.
✨Familiarise Yourself with Distributed Systems
Understanding large-scale distributed systems is advantageous for this internship. Brush up on concepts related to high-performance computing and be prepared to discuss how these systems work. You might even want to mention any hands-on experience you have with such technologies.
✨Prepare for Collaborative Discussions
Collaboration is key in this role, so think about examples where you've worked across disciplines. Be ready to share how you balance research with engineering rigor and how you approach teamwork. This will show your potential mentors that you're a great fit for their community.