Senior Machine Learning Platform Engineer - Artificial Intelligence

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Posted May 14, 2024 - Requisition No. 125258

Bloomberg’s Engineering AI department has 300+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow  solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. 

At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.

Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.

We are looking for Senior Machine Learning (ML) Platform Engineers with strong expertise and passion for building platforms, especially for ML systems.

As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed ML model development life cycle to enable the building and maintenance of our ML systems. Our teams make extensive use of open source technologies such as, Kubernetes, Kubeflow, KServe, Argo, Buildpacks, and other cloud-native MLOps technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source. 

Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to:

  • Architect, build, and diagnose multi-tenant ML platform systems
  • Work closely with ML application teams to design seamless workflows for continuous model training, inference, and monitoring 
  • Interface with both ML experts to understand workflows, pinpoint and resolve inefficiencies, and inform the next set of features for the platforms
  • Collaborate with open-source communities and ML application teams to build a cohesive MLOps experience
  • Troubleshoot and debug user issues
  • Provide operational and user-facing documentation

We are looking for a Senior ML Platform Engineer with: 

  • Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
  • 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 

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 parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially,  please email (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for.

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