The AI Group is the central engineering group responsible for driving Machine Learning (ML) adoption at Bloomberg, with over 200 researchers and engineers working together to provide clients with the best-in-class news, research, market data, and analytics using innovative machine learning technology. We directly impact a wide variety of our flagship products, including news, research, pricing, communications platforms, search and discovery tools. We work on a variety of ML fields, including natural language processing, information retrieval, time series analysis, and recommender systems.

　　Some projects where we are looking for experienced software engineers include: unified search, question answering, query parsing, financial instrument (e.g., fixed income) pricing, dialogue understanding. Our engineers are responsible for architecting and implementing services end-to-end, overcoming unique challenges that come with machine learning systems in the financial domain. In addition, we contribute to open source; contributions we have made and work with include Solr, Koan, KFServing, Cloud Native Buildpacks and PyTorch Lightning that directly impact our production services.

　　Broadly, we are looking for colleagues who are passionate about software engineering and about the development and maintenance of large open source Python libraries.

　　If all of this sounds like the projects you are passionate about and want to work on, apply! Do check out our blog at https://TechAtBloomberg.com/AI and learn more about our projects and research.

　　We'll trust you to:

　　Build intuitive Python libraries and frameworks for interacting with MLOps systems Interfacing with both ML experts and platform engineers to understand workflows, pinpoint and resolve inefficiencies, and inform the next set of features for the platforms Collaborating with open-source communities and internal platform teams to build a cohesive MLOps experience Troubleshooting and debugging user issues Providing operational and user-facing documentation Design, experiment, and evaluate software systems, Write, test, and maintain production-quality code, Represent Bloomberg at conferences and open-source communities, Demonstrate technical leadership by owning cross-team projects, and

　　You'll need to have:

　　Extensive experience working with Python A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management

　　We'd love to see:

　　Industry experience with platform teams or DevX teams Open-source contributions to Python libraries Experience working with Pydantic and typed python code Passion for the engineering behind machine learning, and scaling it Curiosity to solve new problems and keep learning new technologies Prior experience with container technologies like Argo, Airflow, MLFlow, Docker, Kubernetes

　　If this sounds like you:

　　Apply if you think we're a good match! We'll get in touch with you to let you kno w what the next steps are. In the meantime, check us out at http://www.techatbloomberg.com/ (http://www.techatbloomberg.com/)

　　Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

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