At a Glance
- Tasks: Optimise ML systems for trading and collaborate with engineers to enhance performance.
- Company: Jane Street, a leading firm in high-frequency trading.
- Benefits: Visa sponsorship, competitive salary, and opportunities for professional growth.
- Other info: Exciting environment with a focus on innovation and collaboration.
- Why this job: Join a dynamic team and make a significant impact in the trading world.
- Qualifications: 3+ years in ML, strong Python skills, and a degree in CS, engineering or math.
The predicted salary is between 63000 - 77000 £ per year.
Jane Street in London seeks a Machine Learning Performance Engineer to optimize the efficiency of our ML systems used in trading.
You will analyze performance, profile workloads, and work with software engineers and researchers to implement enhancements.
The role requires 3+ years in ML, strong Python skills with Tensor Flow or Py Torch, and a degree in CS, engineering or math.
Experience with performance profiling and trading systems is valued; visa sponsorship is available. #J-18808-Ljbffr
ML Performance Engineer for HFT Systems | Visa Sponsorship in London employer: Jane Street
At Jane Street, we pride ourselves on being an exceptional employer, offering a unique blend of cutting-edge machine learning research and real-world trading applications. Our collaborative work culture fosters innovation and continuous learning, providing interns with unparalleled access to vast datasets and advanced computing resources. With a focus on personal and professional growth, you'll have the opportunity to work alongside experienced researchers, tackling complex challenges that push the boundaries of machine learning in finance.
StudySmarter Expert Advice🤫
We think this is how you could land ML Performance Engineer for HFT Systems | Visa Sponsorship in London
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We think you need these skills to ace ML Performance Engineer for HFT Systems | Visa Sponsorship in London
Some tips for your application 🫡
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