Forward Deployment AI Engineer About Millennium Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for…
Skills: Python, Large Language Models, Agentic Process Automation, Supervised Machine Learning, Software Engineering
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The role involves designing and deploying AI agents and prediction models to automate manual workflows across various firm functions. You will embed with business teams to scope problems end-to-end and transform successful solutions into reusable firm-wide capabilities.
Requirements
Requires a Bachelor's degree in a quantitative field and 3+ years of experience shipping production ML or AI systems. Candidates must possess strong Python skills and deep hands-on experience with LLM orchestration and supervised machine learning.
Full job description
Forward Deployment AI Engineer
About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.
Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.
Meet the Team
Central AI sits within Millennium’s Information Technology organization, where flexible, scalable technology and advanced proprietary systems are core to the health and growth of the business, including the development of the next generation of analytical and trading capabilities. The Central AI team carries a broad mandate: bring AI to every function that runs the firm, spanning business development, alpha capture, execution services, risk management, finance, operations and middle office, legal, compliance, and recruiting. When a business team has a problem AI can solve, Central AI determines the right approach and ships the solution. You own everything from that conversation through architecture, deployment, evaluation, and iteration, then turn what works into reusable capabilities for the whole firm. Finance experience is not require, and in this seat you’ll rapidly deploy agents and provide analysis on the edge cases as opposed to solely focus on cherry picked projects.
What You'll Do
Own agentic process automation: reverse-engineer manual, undocumented workflows and build agents that execute them reliably, including tool integrations, orchestration, human-in-the-loop checkpoints, state management, and auditability.
Build prediction and decision-support models: forecasting, anomaly detection, ranking, matching, and classification over years of accumulated firm data, with proper validation and monitoring.
Develop document intelligence pipelines for extraction, classification, and review across contracts, filings, emails, and transcripts.
Build entity intelligence and self-improving systems, including knowledge graphs, entity resolution, enrichment pipelines, and eval/feedback loops that improve deployed systems over time.
Embed directly with business teams to scope problems end-to-end, owning everything from the initial conversation through architecture, deployment, evaluation, and iteration.
Turn proven solutions into reusable capabilities for the broader firm.
What You Bring
3+ years shipping production software, ML, or AI systems (flexible for exceptional builders; what you’ve shipped matters more than years served).
Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline.
Strong Python and engineering fundamentals; your prototypes become products others build on.
Substantial hands-on LLM and agentic experience: tool use, orchestration, structured outputs, retrieval, evals, and calibrated judgment about what agents can reliably do.
Supervised ML depth: training, validation, feature engineering, and awareness of pitfalls like leakage, overfitting, and drift.
Comfort with messy, heterogeneous data and unfamiliar domains, with the ability to become functionally fluent within days and earn credibility with subject-matter experts.
The autonomy to embed with a trader’s team or a CFO’s team, understand their world, and build without waiting for a spec.
Salary Range
Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
Millennium is a global, diversified alternative investment firm, founded in 1989, which manages $92 billion in assets. Defined by evolution, innovation and focus, Millennium's mission is to deliver high-quality returns for our investors.
Millennium seeks to empower talented professionals with the sophisticated expertise, resources and technology to pursue a diverse range of investment strategies across industry sectors, asset classes and geographies.
See our community guidelines at: mlp.com/guidelines
Read our disclosures at: https://www.mlp.com/disclosures/
Offices: 399 Park Avenue, New York, NY 10022, US · Millennium Management LLC, 1700 East Putnam Avenue, Old Greenwich, CT 06870, US · Millennium Capital Partners, LLP, 50 Berkeley Street, 5th Floor, London, W1J 8HD, GB · Millennium Capital Management (Singapore) Pte. Ltd., 88 Market Street, Capita Spring #37-01, Singapore 048948, SG · 42 Rue du Rhone, Geneva, 1204, CH
FinanceImpact InvestingHedge FundsBusiness DevelopmentAsset ManagementFinancial ServicesVenture Capital
Based on 7216 listings with disclosed salaries, most engineering jobs in New York pay between $80k–$209k per year. Individual offers vary with seniority, company size, and specialization.
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