The Role
The Machine Learning Platform Engineer will design and develop a next generation research platform to support quant researchers, ensuring reliability and scalability. Responsibilities include optimizing system performance, enhancing platform capabilities, and collaborating with multiple teams to address challenges. The candidate should possess strong knowledge in Python, cloud management, and high-performance computing.
Summary Generated by Built In
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Actively seeking an experienced machine learning platform developer to design the next generation research platform for all of our global trading
Responsibilities
- Work on our next gen platform empowering quant researchers to easily compose custom modeling workflows,with an emphasis on
- Reliability, transparency and observability of the system
- Interoperability across on-prem and multi-cloud infrastructure
- work side by side with our researchers and HPC infrastructure team to solve problems in a scalable manner
- take a lead in identifying efficiency and throughput optimizations
- continuously enhance the platform to handle ever-increasing data volumes and incorporate cutting-edge machine learning techniques
- work in a fast-paced, close-knit and dynamic environment, implementing fixes / features at short notice when needed
- Qualifications
- 4-5 years experience designing large distributed systems, with passion for performance and high availability at scale
- Proficient in Python
- Experience with managing applications on linux HPC clusters and/or cloud platforms
- Knowledge of GPUs, related technologies and/or machine learning frameworks is a strong plus
- Strong troubleshooting and problem solving skills
- Motivated to learn new technologies and able to work independently
Top Skills
Python
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The Company
What We Do
Founded in 1998 by Mark Gorton, Tower Research Capital is a trading and technology company that has built some of the fastest, most sophisticated electronic trading platforms in the world.
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