Machine Learning Software Engineer

We are actively recruiting for Senior Software Engineers for our client's offices in New York and Chicago. These persons have demonstrated experience in developing, managing, and maintaining Machine Learning systems in production. In this role, you will partner with the Quantitative Research team to build battle-tested production trading systems and create automated infrastructure to accelerate the delivery of new models to live trading.

Responsibilities:

1. Develop and manage high quality, robust, and efficient data and model pipelines.
2. Improve capabilities, performance, reliability, scalability, and throughput of machine learning systems in a trading environment.
3. Build automated tools to evaluate model performance.
4. Work closely with quantitative and portfolio researchers to improve the profitability of trading tactics.

MUST HAVE Technical Experience:

1. At least 5+ years of full-time professional software development experience.
2. Previous experience with building and maintaining production machine learning systems and real-time data ingestion.
3. Strong background in software engineering and quantitative analysis.
4. Expertise in Python. Some experience with C++ is a plus but not a requirement.
5. Comfortable with iterative software development; high standards for software quality and hygiene.
6. No experience required in finance and/or quantitative trading; interest is beneficial.

Apply for the position.

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