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Senior Machine Learning Engineer – BLAW / BGOV / BTAX

Location

New York

Business Area

Engineering and CTO

Ref #

10048520

Description & Requirements

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.

Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.

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 [email protected]