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- Tasks: Drive innovation in reinforcement learning to optimise decision-making and enhance AI performance.
- Company: Join Tether, a leader in digital finance and blockchain technology.
- Benefits: 100% remote work, collaborate with global talent, and be part of a financial revolution.
- Why this job: Make a real impact in fintech while pushing the boundaries of AI technology.
- Qualifications: Degree in Computer Science or related field; expertise in reinforcement learning and PyTorch required.
- Other info: Dynamic environment with opportunities for growth and collaboration on cutting-edge projects.
The predicted salary is between 36000 - 60000 £ per year.
Join Tether and shape the future of digital finance. At Tether, we're pioneering a global financial revolution with cutting-edge solutions that empower businesses to seamlessly integrate reserve-backed tokens across blockchains.
As a member of the AI model team, you will drive innovation in reinforcement learning approaches for advanced models. Your work will optimize decision-making and adaptive behaviour to deliver enhanced intelligence, improved performance, and domain-specific capabilities for real-world challenges.
Your responsibilities include:
- Developing and implementing state-of-the-art reinforcement learning algorithms designed to optimize decision-making processes in both simulated and real-world settings.
- Building, running, and monitoring controlled reinforcement learning experiments while tracking key performance indicators.
- Identifying and curating high-quality simulation environments and training datasets tailored to specific domain challenges.
- Systematically debugging and optimizing the reinforcement learning pipeline by analyzing computational efficiency and learning performance metrics.
- Collaborating with cross-functional teams to integrate reinforcement learning agents into production systems.
Qualifications:
- A degree in Computer Science or related field, ideally a PhD in NLP, Machine Learning, or a related field.
- Proven experience with large-scale reinforcement learning experiments, including online RL techniques.
- Deep understanding of reinforcement learning algorithms, including state-of-the-art online RL methods.
- Strong expertise in PyTorch and relevant reinforcement learning frameworks.
- Demonstrated ability to apply empirical research to overcome reinforcement learning challenges.
Important information for candidates: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page.
AI Research Engineer - Reinforcement Learning (100% Remote) in London employer: Tether Operations Limited
Contact Detail:
Tether Operations Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Engineer - Reinforcement Learning (100% Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI space, especially those already at Tether. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! If you've got projects or research that highlight your expertise in reinforcement learning, share them. A portfolio or GitHub can make you stand out and show us what you're capable of.
✨Tip Number 3
Prepare for the interview! Brush up on your knowledge of reinforcement learning algorithms and be ready to discuss how you've tackled challenges in past projects. We love seeing candidates who can think on their feet!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining our innovative team at Tether.
We think you need these skills to ace AI Research Engineer - Reinforcement Learning (100% Remote) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in reinforcement learning and any relevant projects you've worked on. We want to see how you can contribute to our innovative team!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences that match the job description. This shows us you’re genuinely interested in the role.
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 fit for the role.
Apply Through Our Website: Remember to apply through our official careers page. This ensures your application gets to the right place and helps us keep everything organised. Plus, it’s super easy!
How to prepare for a job interview at Tether Operations Limited
✨Know Your Reinforcement Learning Inside Out
Make sure you brush up on the latest reinforcement learning algorithms and techniques. Be prepared to discuss your experience with online RL methods like Group Relative Policy Optimization (GRPO) and how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
During the interview, be ready to share specific examples of challenges you've faced in reinforcement learning projects. Highlight how you identified bottlenecks and optimised performance, as this will demonstrate your hands-on experience and analytical thinking.
✨Familiarise Yourself with Tether's Vision
Understand Tether's mission and how your role as an AI Research Engineer fits into their broader goals. This will not only help you answer questions more effectively but also show your genuine interest in contributing to their innovative projects.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of PyTorch and reinforcement learning frameworks. Practise explaining complex concepts clearly and concisely, as communication skills are just as important as technical expertise in a remote setting.
