招聘
Bloomberg’s Engineering AI department has 400+ 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 GenAI Platform Engineers with strong expertise and passion for building platforms, especially for GenAI systems.
As a Senior GenAI Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed GenAI 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, KServe, MCP, Envoy AI Gateway, Buildpacks and other cloud-native and GenAI 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 GenAI Platform Engineer and you will have the opportunity to:
- Architect, build, and diagnose multi-tenant GenAI platform systems
- Work closely with GenAI application teams to design seamless workflows for continuous model training, inference, and monitoring
- Interface with both GenAI experts to understand workflows, pinpoint and resolve inefficiencies, and inform the next set of features for the platforms
- Collaborate with open-source communities and GenAI application teams to build a cohesive development experience
- Troubleshoot and debug user issues
- Provide operational and user-facing documentation
We are looking for a Senior Gen
AI Platform Engineer with:
- Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
- Experience with GenAI technologies like MCP, A2A, Langgraph, Llama Index, Pydantic AI, Open
AI APIs and SDKs:
- 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 give back to the technology community and you can read more about our outreach at: 1 http://www.techatbloomberg.com/ai References
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About Bloomberg

Bloomberg
PublicBloomberg provides financial software, data, and media services to financial professionals and institutions worldwide. The company operates Bloomberg Terminal, a computer software system that enables professionals to access real-time financial market data and trading tools.
10,001+
Employees
Midtown Manhattan
Headquarters
Reviews
4.0
15 reviews
Work Life Balance
4.2
Compensation
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Culture
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Career
3.0
Management
2.8
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Pros
High compensation and competitive total compensation
Good work-life balance
Company stability and job security
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Slow career progression and promotion speed
Management issues and micromanagement
Limited remote work flexibility
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L2
L3
L4
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Interview Experience
14 interviews
Difficulty
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Duration
14-28 weeks
Offer Rate
21%
Experience
Positive 50%
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Application Review
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Recruiter Screen
3
Technical Phone Screen
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Technical Rounds/Superday
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