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- Tasks: Develop and optimise machine learning models to enhance trading signals.
- Company: Innovative tech firm in Shanghai focused on quantitative investment management.
- Benefits: Flexible roles for full-time and internships, with a collaborative culture.
- Why this job: Join a diverse team and make a real impact in the AI investment space.
- Qualifications: Bachelor's degree in computer science or related field, strong algorithm skills.
- Other info: Dynamic environment with opportunities for professional growth and creativity.
The predicted salary is between 36000 - 60000 £ per year.
基地设定在上海，全职和实习皆可，欢迎全球各地优秀的华人加入。
关于衍复：上海衍复投资管理有限公司成立于2019年，是一家用量化方法从事投资管理的科技公司。公司策略团队成员的背景丰富多元：有曾在海外头部对冲基金深耕多年的行家里手、有在美国大学任教后加入业界的学术型专家以及国内外顶级学府毕业后在衍复成长起来的中坚力量；工程团队核心成员均来自清北交复等顶级院校，大部分有一线互联网公司的工作经历，团队具有丰富的技术经验和良好的技术氛围。公司致力于通过10-20年的时间，把衍复打造为投资人广泛认可的头部资管品牌。衍复鼓励充分交流合作，我们相信自由开放的文化是优秀的人才发挥创造力的土壤。我们希望每位员工都可以在友善的合作氛围中充分实现自己的职业发展潜力。
工作职责：
- 负责机器学习/深度学习模型的研发，优化和落地，以帮助提升交易信号的表现；
- 研究前沿算法及优化技术，推动技术迭代与业务创新。
任职资格：
- 本科及以上学历，计算机相关专业，国内外知名高校；
- 扎实的算法和数理基础，熟悉常用机器学习/深度学习算法(XGBoost/LSTM/Transformer等)；
- 熟练使用Python/C++，掌握PyTorch/TensorFlow等框架；
- 具备优秀的业务理解能力和独立解决问题能力，良好的团队合作意识和沟通能力。
加分项：
- 熟悉CUDA，了解主流的并行编程以及性能优化技术；
- 有模型实际工程优化经验（如训练或推理加速）；
- 熟悉DeepSpeed, Megatron等并行训练框架；
- 熟悉Triton, cutlass，能根据业务需要写出高效算子；
- 熟悉多模态学习、大规模预训练、模态对齐等相关技术。
Machine Learning Engineer (AI infra) in London employer: 上海衍复投资管理有限公司
Contact Detail:
上海衍复投资管理有限公司 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (AI infra) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using Python, PyTorch, or TensorFlow. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common algorithms and optimisation techniques. Be ready to discuss your problem-solving approach and how you've applied your knowledge in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about joining our team!
We think you need these skills to ace Machine Learning Engineer (AI infra) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight relevant skills like Python, C++, and your experience with frameworks like PyTorch or TensorFlow. We want to see how your background fits with what we do!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for machine learning and how you can contribute to our team. We love seeing candidates who can communicate their ideas clearly and show enthusiasm for the role.
Showcase Your Projects: If you've worked on any cool projects related to machine learning or deep learning, make sure to mention them! We’re interested in practical experience, so include links to your GitHub or any relevant portfolios.
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 you’re serious about joining our team!
How to prepare for a job interview at 上海衍复投资管理有限公司
✨Know Your Algorithms
Make sure you brush up on your machine learning and deep learning algorithms. Be ready to discuss XGBoost, LSTM, and Transformers in detail. Understanding how these algorithms work and their applications will show that you're not just familiar with the theory but can also apply it practically.
✨Showcase Your Coding Skills
Since proficiency in Python and C++ is crucial, practice coding problems related to machine learning. You might be asked to solve a problem on the spot, so being comfortable with frameworks like PyTorch or TensorFlow will give you an edge. Consider doing mock interviews to simulate this experience.
✨Demonstrate Problem-Solving Ability
Prepare to discuss past projects where you faced challenges and how you overcame them. Highlight your independent problem-solving skills and your ability to understand business needs. This will show that you can contribute effectively to the team and adapt to real-world scenarios.
✨Cultural Fit Matters
Familiarise yourself with the company culture of open communication and collaboration. Be ready to share examples of how you've worked well in teams and contributed to a positive environment. This will help demonstrate that you align with their values and can thrive in their workplace.
