Machine Learning Engineer

Job Description

DRW, a technology-driven principal trading firm, is seeking a Machine Learning Engineer to join its Algorithmic Trading Research Group in Tel Aviv. The successful candidate will be an integral member of a team of technologists and quantitative researchers, working to solve complex technical problems and contribute to the firm's tech stack.

The Machine Learning Engineer will be surrounded by cutting-edge technology, offered training and continuing education, and given immediate responsibility. DRW is looking for a creative technologist, natural programmer, and disciplined engineer eager to develop new technologies that directly impact the business.

Role Involves:

• Building infrastructure for running Machine Learning algorithms on big data.
• Optimizing Machine Learning algorithms to run under latency constraints.
• Parallelizing Machine Learning algorithms to run on a parallel compute grid.
• Building software for data acquisition and cleaning that can handle hundreds of terabytes of data.
• Building data visualization tools for feature exploration and model verification.
• Integrating Machine Leaning algorithms into trading strategies simulations to verify end to end performance improvements.
• Contributing to technological innovation through exploration of cutting-edge hardware, software, and methods.

Requirements:

• MSc-Bsc in Computer Science, Computer Engineering, or related field.
• 5+ years of software development experience in modern C++ and Python.
• A strong understanding of object-oriented design, data structures, and algorithms.
• Ability to advise and collaborate with researchers on software engineering tools and practices.
• A solid foundation in programming with the ability to think, communicate, and code clearly.
• Skills in numerical computing, machine learning, and visual intelligence.
• Demonstrated ability to produce algorithmic code in a fast-paced environment.

DRW Offers:

• Highly competitive compensation packages.
• Training and continuing education opportunities.
• Opportunity to work with cutting edge technology.