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- Tasks: Build and validate AI models while collaborating with experienced researchers.
- Company: Innovative AI startup focused on impactful projects.
- Benefits: Flexible remote work, gain hands-on experience, and contribute to open-source.
- Why this job: Make a real-world impact in AI while learning from the best.
- Qualifications: Experience with Python and fine-tuning language models.
- Other info: Perfect for students looking to grow in a dynamic field.
The predicted salary is between 10 - 16 £ per hour.
An innovative AI startup is seeking a part-time Junior AI/ML Engineer to work remotely from the UK. This role is tailored for students, focusing on building and validating models in collaboration with senior researchers.
The ideal candidate will have:
- Hands-on experience fine-tuning language models
- Proficiency in Python
- Familiarity with cloud GPUs and containers
Join us to contribute to impactful open-source projects and see research implemented in real-world applications.
Remote AI/ML Research Engineer (Part-Time) employer: Always Further, Inc.
Contact Detail:
Always Further, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI/ML Research Engineer (Part-Time)
✨Tip Number 1
Network like a pro! Reach out to your university professors or industry professionals on LinkedIn. They might have insider info on job openings or even recommend you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those involving language models and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI/ML concepts and coding challenges. We suggest practicing with friends or using online platforms to simulate real interview scenarios. Confidence is key!
✨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 about their job search.
We think you need these skills to ace Remote AI/ML Research Engineer (Part-Time)
Some tips for your application 🫡
Show Your Passion for AI/ML: When writing your application, let us see your enthusiasm for AI and machine learning. Share any personal projects or experiences that highlight your skills and interest in the field. We love candidates who are genuinely excited about what they do!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your hands-on experience with fine-tuning language models and your proficiency in Python. We want to see how your background aligns with what we're looking for, so don’t hold back!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Always Further, Inc.
✨Know Your Models
Make sure you brush up on the language models you've worked with. Be ready to discuss your hands-on experience in fine-tuning them, as this will show your practical knowledge and enthusiasm for the role.
✨Show Off Your Python Skills
Since proficiency in Python is key, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding, so practice common algorithms and data structures beforehand.
✨Familiarise Yourself with Cloud Technologies
Get comfortable discussing cloud GPUs and containers. Research how they work and their applications in AI/ML projects. This will help you stand out as someone who understands the tools that are essential for the role.
✨Engage with Open-Source Projects
Since the company focuses on impactful open-source projects, be prepared to talk about any contributions you've made or projects you've followed. This shows your commitment to the community and your ability to collaborate effectively.
