Bloomberg Law, Tax & Government (BLAW/BTAX/BGOV) delivers AI-powered solutions that integrate trusted editorial content with billions of documents and data points to support legal, tax, accounting, and government professionals.

The Product AI Enablement Team builds ML and AI solutions to solve concrete business problems, embedding them directly into user workflows and iterating rapidly using early customer feedback.

What you’ll work on

An example of a current project involves building agentic AI workflows for corporate tax compliance. Agents will analyze complex tax spreadsheets, identify relevant tax topics, retrieve recent statutory and regulatory changes from Bloomberg datasets, generate grounded analysis with citations, and guide users through impacted calculations using a conversational interface. Agents then suggest changes to spreadsheet cells by reasoning over tables, formulas, dependencies, layout, and user-specific spreadsheet styling.

Technical focus

We apply a wide range of ML and NLP techniques, including:

Agentic AI: tool-calling, MCP configuration, context engineering, prompt tuning, deep research, agent routing, conversational frameworks

Information Enrichment: NER/disambiguation, classification, topic modeling

Content Generation: summarization, document drafting, legal insight generation, recommendation systems

We leverage internal platforms for Information Retrieval, Agent Factory, Conversational AI, Knowledge Graphs, Reasoning Models, and Guardrails to deliver end-to-end solutions.

How we work

You’ll work in a forward-deployed, agile environment with software engineers, product managers, subject matter experts, and annotators. We prioritize iterative development, early customer engagement, and rapid feedback-driven improvement. ML ambiguity is expected; success requires ownership, adaptability, and strong collaboration.

Responsibilities

Lead ML projects end-to-end as the primary technical owner

Translate business problems into well-scoped ML problems

Design and develop domain-specific ML, NLP, and LLM-based solutions

Define evaluation metrics and make data-driven decisions

Write and maintain production-quality ML code

Collaborate with AI platform, data, and frontend engineers for deployment and lifecycle management

Manage stakeholder expectations throughout development and release

Stay current with ML/NLP research and apply relevant advances

Requirements

4+ years of experience in ML/AI, preferably NLP

Proven experience delivering production NLP systems

Strong intuition for problem formulation and model selection

Proven delivery of production NLP systems and integration in user workflows 

Experience with GenAI evaluations, grounding, AI safety & compliance

MS or PhD in Computer Science, Mathematics, or equivalent practical experience

Nice to have

Familiarity with weak supervision, reinforcement learning, semantic search, and knowledge graphs

Systems thinking for Agentic design & tool-using for multi-step agentic workflows

Experience across the full ML lifecycle: scoping, data collection, training, evaluation, optimization, and deployment

Research publications, ML competitions, or demonstrable projects

Interest in legal, tax, or government domains (prior experience not required)

Salary Range = 165000 - 260000 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.


We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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