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- Tasks: Develop symbolic reasoning models and tackle complex machine reasoning challenges.
- Company: Leading AI research lab in London with a focus on innovation.
- Benefits: Competitive salary, equity package, and opportunities for professional growth.
- Why this job: Join a team of world-class researchers and make a real impact in AI.
- Qualifications: Strong theoretical background in machine learning and functional programming skills.
- Other info: Onsite role in a dynamic environment with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A cutting-edge AI research lab in London is seeking a Machine Learning Research Engineer to develop symbolic reasoning models inspired by abstract mathematics. This onsite role involves collaborating with world-class researchers to solve complex machine reasoning problems.
The ideal candidate will have a strong theoretical background, expertise in machine learning, and proficiency in functional programming. Competitive compensation includes an equity package.
ML Research Engineer: Symbolic Reasoning & AI (London) in City of London employer: Symbolica
Contact Detail:
Symbolica Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Research Engineer: Symbolic Reasoning & AI (London) in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and machine learning space on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for technical interviews by brushing up on your symbolic reasoning and functional programming skills. Practice coding challenges and be ready to explain your thought process clearly—this is key in showcasing your problem-solving abilities.
✨Tip Number 3
Don’t just apply; engage! When you find a role that excites you, reach out to the hiring manager or team members. A quick message expressing your enthusiasm can set you apart from the crowd.
✨Tip Number 4
Keep an eye on our website for the latest job openings. We regularly update our listings, and applying directly through us can give you a better chance of landing that dream role in AI research!
We think you need these skills to ace ML Research Engineer: Symbolic Reasoning & AI (London) in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your theoretical background and expertise in machine learning. We want to see how your skills align with the role, so don’t hold back on showcasing your experience!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the ML Research Engineer position. We love seeing candidates who take the time to connect their experiences with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
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 this exciting opportunity.
How to prepare for a job interview at Symbolica
✨Brush Up on Your Theoretical Knowledge
Make sure you have a solid grasp of the theoretical concepts behind symbolic reasoning and machine learning. Review key mathematical principles and be ready to discuss how they apply to real-world problems. This will show your depth of understanding and passion for the field.
✨Showcase Your Programming Skills
Since proficiency in functional programming is crucial, be prepared to demonstrate your coding skills during the interview. Practice coding challenges that involve functional programming languages and be ready to explain your thought process as you solve problems.
✨Prepare for Collaborative Problem-Solving
This role involves working with top researchers, so expect questions that assess your ability to collaborate and tackle complex problems. Think of examples from your past experiences where you successfully worked in a team to solve challenging issues, and be ready to share those stories.
✨Research the Company and Its Projects
Familiarise yourself with the cutting-edge projects the lab is involved in. Understanding their current research focus will not only help you tailor your answers but also demonstrate your genuine interest in contributing to their work. Prepare insightful questions that reflect your knowledge about their initiatives.
