Machine Learning Systems Developer
2 weeks ago
DRW is a diversified trading firm that has been operating in the market for over 3 decades. Our success is driven by the combination of sophisticated technology and exceptional people working together to capture opportunities around the world. We value autonomy and the ability to quickly adapt to changing circumstances, which is reflected in our operation using our own capital and trading at our own risk.
We trade a variety of asset classes, including Fixed Income, ETFs, Equities, FX, Commodities, and Energy, across all major global markets. In addition to traditional strategies, we have also leveraged our expertise and technology to expand into non-traditional areas such as real estate, venture capital, and cryptoassets.
In this role, you will be part of a high-impact machine learning team working across DRW's businesses. As a Machine Learning Engineer, you will build critical systems for our machine learning models and have the opportunity to make a significant impact on our business. You will be surrounded by cutting-edge technology and experienced machine learning, data, and software professionals, providing you with the best possible environment to succeed. You will have the chance to work on interesting new projects, apply your skillset, and become an expert in certain areas.
Key Responsibilities:
- Design and implement scalable and performant systems to serve machine learning models.
- Optimize training and inference performance of deep learning models.
- Create and maintain feature pipelines, feature stores, model stores.
- Monitor production models and set up retraining infrastructure to improve performance.
- Optimize models for deployment on different hardware configurations.
- Drive projects and lead new initiatives.
- Facilitate discussions on code implementation, testing, software architecture best practices.
- Actively engage with others on the team to resolve challenging design and coding issues.
Requirements:
- A bachelor's or a master's degree in computer science, software engineering, or equivalent.
- ~6+ years of experience building software for machine learning systems.
- Strong understanding of machine learning and deep learning concepts.
- Excellent programming and scripting skills (we predominantly work in Python and Go).
- Experience with building, validating, deploying, monitoring, and updating production models.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, TensorRT, ONNX.
- Experience with one or more of the following is an asset: distributed systems and cloud computing (Kubernetes, Docker, GCP, AWS), multi-threaded programming, hardware/software interaction.
About DRW:
DRW is a place of high expectations, integrity, innovation, and a willingness to challenge consensus. We are a team of professionals who work together to achieve great things. If you are passionate about machine learning, enjoy working with cutting-edge technologies, and are excited about solving complex problems, we encourage you to apply for this exciting position.
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