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- Tasks: Lead the development of AI models and enhance their reasoning capabilities.
- Company: A leading AI research company at the forefront of innovation.
- Benefits: Competitive pay, remote flexibility, and a collaborative work environment.
- Why this job: Join a team making groundbreaking advancements in AI technology.
- Qualifications: Advanced machine learning experience and knowledge of LLM evaluation methodologies.
- Other info: Opportunity to work on cutting-edge projects with significant impact.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI research company seeks a Senior Machine Learning Engineer to lead the development of high-fidelity reasoning traces for AI models. This role requires significant experience in machine learning with a focus on model reasoning and problem decomposition. The position is remote, offering competitive pay and flexibility. Candidates should have advanced knowledge of LLM evaluation methodologies and experience with data annotation. Join a collaborative team and contribute to groundbreaking AI projects.
Senior ML Engineer: AI Reasoning & Data Trainer (Remote) in London employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: AI Reasoning & Data Trainer (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to model reasoning and data annotation. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on LLM evaluation methodologies and problem decomposition techniques. Practising common ML problems can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it shows you’re genuinely interested in joining our collaborative team.
We think you need these skills to ace Senior ML Engineer: AI Reasoning & Data Trainer (Remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and model reasoning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about the role and our company.
Showcase Your Technical Skills: Don’t forget to mention your advanced knowledge of LLM evaluation methodologies and data annotation experience. We’re looking for someone who can hit the ground running, so make sure we see those skills front and centre!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Alignerr
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially around model reasoning and problem decomposition. Be ready to discuss specific projects where you've applied these concepts, as this will show your depth of knowledge and practical experience.
✨Familiarise with LLM Evaluation Methodologies
Since the role requires advanced knowledge of LLM evaluation methodologies, make sure you can explain different evaluation techniques and their importance. Prepare examples of how you've used these methodologies in past projects to demonstrate your expertise.
✨Showcase Your Data Annotation Experience
Highlight your experience with data annotation during the interview. Be prepared to discuss the tools you've used and the challenges you've faced, as well as how you overcame them. This will show that you have hands-on experience relevant to the role.
✨Emphasise Collaboration Skills
As this position is part of a collaborative team, be ready to share examples of how you've worked effectively with others in previous roles. Discuss how you handle feedback and contribute to team success, which will demonstrate your fit for the company culture.
