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Staff Machine Learning Engineer

Summary by AIEngineer.careers

Staff Machine Learning Engineer is a Machine Learning Engineer role (full-time). with Altanaai. in NEW YORK, US. Compensation shown: $205K–$240K. Imported from Greenhouse-hosted careers page. Apply on the employer's site (job-boards.greenhouse.io).

Imported from Greenhouse-hosted careers page · Apply on job-boards.greenhouse.io

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NEW YORK · US
$205K–$240K
Full-time
STAFF
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The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.

Imported job description

Sourced from job-boards.greenhouse.io

Altana is hiring a Staff Machine Learning Engineer to lead the AI behind Altana Nexus, an agentic platform for global trade. You will build models and agents that turn trade data into real-time decisions on risk, compliance, and enforcement. This is a hybrid role based in Brooklyn, NY.

Responsibilities

  • Lead the AI and ML strategy behind the Altana Nexus agentic platform
  • Build and train machine learning models for trade data analysis
  • Design and develop AI agents that support risk, compliance, and enforcement decisions
  • Collaborate with cross-functional teams to deliver real-time decision systems

Requirements

  • Strong experience building and deploying machine learning models in production
  • Experience designing or working with AI agents and agentic systems
  • Proficiency in Python and modern ML frameworks
  • Ability to lead technical initiatives as a staff-level engineer
  • Willingness to work hybrid in Brooklyn, NY

Nice to Have

  • Experience with trade, compliance, or risk data
  • Background in NLP or large language models
  • Experience in a fast-paced startup environment

Tech Stack

Agentic PlatformsAI AgentsMachine Learning
Altanaai

Altanaai

New York · US · 323+ employees

Altana is the world's first agentic network for global trade, connecting importers, suppliers, logistics providers, and customs agencies around a shared source of information to keep products trade-ready from manufacture to classification to clearance. Founded in 2018 by Evan Smith, Peter Swartz, and Raphael Tehranian, the company serves enterprise and government customers across global trade, logistics, manufacturing, retail, defense, and insurance. Customers include Boston Scientific, General Atomics, L.L.Bean, Maersk, U.S. Customs and Border Protection, and the UK Department of Business and Trade.

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