JobsSenior Software Engineer - AI Inference
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Senior Software Engineer - AI Inference

Bloomberg

Location

New York, NY

Type

Full-time

Posted

5/5/2026

Compensation

$160,000 - $240,000 per year

Undergraduate with 5+ Years of Experience
Approval 99%·Filings 720·New hires 216·
Established Sponsor
·FY 2025

Job description

The Senior Software Engineer - AI Inference role at Bloomberg involves building the core infrastructure for AI, specifically focusing on the Bloomberg AI Inference Platform. This platform supports hosting, deploying, and serving machine learning models, allowing engineering teams to concentrate on developing intelligent applications. The position requires a strong background in software engineering and experience with distributed systems, as well as the ability to mentor junior engineers. The role emphasizes collaboration across teams to enhance model deployment and production performance.

Requirements

  • 5+ years of professional software engineering experience.
  • Experience designing, building, and operating production distributed systems.
  • Strong systems intuition and a track record of debugging and optimizing performance-critical services.
  • Ability to own problems end-to-end and quickly ramp up in unfamiliar technical areas.
  • 4+ years of demonstrated experience working with an object-oriented programming language.
  • A degree in Computer Science, Electrical Engineering, or equivalent practical experience.

Responsibilities

  • Design and build scalable infrastructure for both online and offline inference workloads.
  • Lead integration of high-performance inference runtimes and serving frameworks.
  • Drive architecture and technical decisions across Bloomberg’s inference platform.
  • Partner across engineering teams to improve model deployment, observability, and production performance.
  • Mentor junior engineers on system design, debugging, and performance optimization.

Benefits

  • Bloomberg offers a comprehensive suite of benefits designed to support health, financial stability, and work-life balance.

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